Experimental Demonstration of a Compiled Version of Shor’s Algorithm with Quantum Entanglement
Open accessAbstract
Shor's powerful quantum algorithm for factoring represents a major challenge in quantum computation. Here, we implement a compiled version in a photonic system. For the first time, we demonstrate the core processes, coherent control, and resultant entangled states required in a full-scale implementation. These are necessary steps on the path towards scalable quantum computing. Our results highlight that the algorithm performance is not the same as that of the underlying quantum circuit and stress the importance of developing techniques for characterizing quantum algorithms.
AI snapshot
Written from the paper’s full text.
TL;DR
The paper experimentally implements compiled order-finding circuits for Shor’s algorithm factoring \(N=15\) with \(C=2\) and \(C=4\), using photonic qubits and measurement-induced nonlinearity. It reports near-ideal algorithm outputs but substantially lower circuit/process fidelities, highlighting that algorithm performance is not the same as underlying circuit performance.
Key findings
- The order-2 circuit gave logical probabilities \(\{P_{00},P_{10}\}=\{52,48\}\pm3\%\), and the order-4 circuit gave \(\{P_{000},P_{010},P_{100},P_{110}\}=\{27,23,24,27\}\pm2\%\); after classical processing, half the time the routines yield \(r=2\) or \(r=4\), giving factors 3 and 5.
- Argument-register state fidelities were \(F=99.9\pm0.3\%\) for order-2 and \(F=98.5\pm0.6\%\) for order-4, with linear entropies \(SL=100\pm1\%\) and \(SL=98.1\pm0.8\%\), respectively.
- Post-modular-exponentiation entangled states showed lower circuit performance: order-2 GHZ fidelity \(F_{\mathrm{GHZ}}=59\pm4\%\), \(SL=62\pm4\%\), witness \(W_{\mathrm{GHZ}}=-9\pm4\%\); order-4 Bell-product fidelity \(F=68\pm3\%\), \(SL=52\pm4\%\), with Bell-state tangles \(41\pm5\%\) and \(33\pm5\%\).
- Process fidelities for the order-4 two-qubit gates were \(F_p=85\%,89\%\), giving product circuit fidelity \(F_p=80\%\), versus an algorithm success rate of \(99.7\%\); order-2 decomposed three-qubit gate process fidelities were \(78\%,90\%\), with only a non-useful bound \(F_p\ge20\%\).
Methods
- Photonic linear-optics implementation with polarization-encoded qubits from parametric downconversion, using measurement-induced nonlinearity and nondeterministic gates with one-third success probability when fully prebiased; runs were flagged by fourfold coincidence events.
- Compiled circuits for \(N=15\): the order-2 circuit was implemented directly, while the order-4 circuit was further compiled to a pair of cnot gates; the paper used quantum state and process tomography, with convex-optimization tomography and Monte-Carlo error estimation.
- Analysis included measured density matrices, fidelities, linear entropies, entanglement witnesses/tangles, process \(\chi\)-matrices, and logical correlations between argument and function registers.
Limitations
- The paper states that current experiments are not scalable, that compiled algorithms do not directly imply scalability, and that direct implementation of the order-4 six-photon circuit is currently infeasible due to low six-photon rates and nondeterministic gates.
- It also states that full tomographic characterization becomes exponentially impractical for larger circuits, that order-2 process tomography would require at least 4096 measurements and was infeasible with their count rates, and that the three-qubit gate error bound is not useful.
- Evident from the text: this is a small-scale, compiled demonstration for \(N=15\), not a full Shor implementation; the measured entangled states partially overlap with ideal states and show environmental decoherence, and the circuit fidelities are much lower than the algorithm success rates.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 25 cited sources checked · 0 supported · 0 flagged
- Findingown data
The authors measured relative nonclassical visibilities V_r of 98±2% and 85±6%.
“We measured relative nonclassical visibilities, V r ≡V meas /V ideal , of 98±2% and 85±6%.”
Quote in the paperSubstantial claim - Findingnone given
For the first time, the authors demonstrate the core processes, coherent control, and resultant entangled states required in a full-scale implementation of Shor's algorithm.
“For the first time we demonstrate the core processes, coherent control, and resultant entangled states that are required in a full-scale implementation of Shor's algorithm.”
Quote in the paperSubstantial claim - Findingown data
The authors implemented a compiled version of Shor's algorithm in a photonic system using single photons and measurement-induced nonlinearity.
“Here we implement a compiled version of Shor's algorithm in a photonic system using single photons and employing the non-linearity induced by measurement.”
- Also stated in: § Abstract · plain
“Here we implement a compiled version of Shor's algorithm, using photonic quantum-logic gates to realise the necessary processes, and verify the resulting entanglement via quantum state and process tomography [17,18].”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
Process fidelities of F_p=85%, 89% were measured for the two-qubit gates of the order-4 circuit.
“we measured process fidelities of F p =85%, 89% for the two-qubit gates of the order-4 circuit.”
Quote in the paperNot a substantial claim - Findingown data
The results in Fig. 5 show a clear correlation between the argument and function registers, 59 to 83% and 67 to 87% for the order-2 and order-4 circuits, respectively.
“The results in Fig. 5 show there is a clear correlation between the argument and function registers, 59 to 83% and 67 to 87% for the order-2 and order-4 circuits, respectively.”
Quote in the paperSubstantial claim
- Findingnone given
The authors have experimentally implemented every stage of a small-scale quantum algorithm.
“We have experimentally implemented every stage of a small-scale quantum algorithm.”
Quote in the paperSubstantial claim - Findingown data
Decomposing the three-qubit gate into a pair of two-qubit gates yields process fidelities F_p=78%, 90%.
“Decomposing the three-qubit gate into a pair of two-qubit gates yields process fidelities F p =78%, 90% (again reflecting differing interferences of independent and dependent photons).”
Quote in the paperNot a substantial claim - Findingreasoning
This process fidelity of 80% is significantly less than the algorithm success rate of 99.7%.
“Clearly this is significantly less than the algorithm success rate of 99.7%.”
Quote in the paperNot a substantial claim - Findingcitation
By assuming that only these gates induce error, the order-4 circuit process fidelity is the product of the individual gate fidelities, F^bcde_p = F^bd_p F^ce_p =80%.
“Consequently, by assuming that only these gates induce error, the order-4 circuit process fidelity is simply the product of the individual gate fidelities [32], F bcde p =F bd p F ce p =80%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32]
Not checked in the free run.
- The authors state this as an assumption: Only the two-qubit gates induce error in the order-4 circuit.
- Findingown data
These indicative values of circuit operation are significantly less than the algorithm success rates.
“Again, these indicative values of circuit operation are significantly less than the algorithm success rates.”
Quote in the paperNot a substantial claim - Premisecitation
Full compilation by evaluating log_C[C^x mod N] in the function-register maintains all features of the algorithm as originally proposed in Ref. [13].
“Note that this full compilation maintains all the features of the algorithm as originally proposed in Ref. [13].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] source
Not checked in the free run.
- Interpretationcitation
These results show near-ideal algorithm performance, far better than expected given the known errors inherent in the logic gates.
“These results show that we have near-ideal algorithm performance, far better than we have any right to expect given the known errors inherent in the logic gates [8,29].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [8] source
Not checked in the free run.
- cites [29]
Not checked in the free run.
- Interpretationreasoning
The performance of a quantum algorithm is not the same as the performance of the underlying quantum circuit.
“Our results highlight that the performance of a quantum algorithm is not the same as performance of the underlying quantum circuit, and stress the importance of developing techniques for characterising quantum algorithms.”
- Also stated in: § FIG. 1: a) · hedged
“This highlights that the algorithm performance is not always an accurate indicator of circuit performance since the algorithm produces mixed states.”
Quote in the paperSubstantial claim - Also stated in: § FIG. 1: a) · hedged
- Premisecitation
Ref. [13] introduced a compiling technique that exploits properties of the number to be factored, allowing exploration of Shor's algorithm with vastly reduced resources.
“Recognizing this, Ref. [13] introduced a compiling technique which exploits properties of the number to be factored, allowing exploration of Shor's algorithm with a vastly reduced number of resources.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] source
Not checked in the free run.
- Premisecitation
In the only demonstration to date, a compiled set of gate operations were implemented in a liquid NMR architecture.
“In the only demonstration to date, a compiled set of gate operations were implemented in a liquid NMR architecture [14].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] source
Not checked in the free run.
- Interpretationreasoning
Thus the inverse QFT can be omitted in all cases r=2^l.
“Thus the inverse QFT can be omitted in all cases r=2 l .”
Quote in the paperSubstantial claim - Interpretationown data
Their experiments demonstrate the feasibility of executing complex, multiple-gate quantum circuits involving coherent multi-qubit superpositions of data registers.
“Our experiments demonstrate the feasibility of executing complex, multiple-gate quantum circuits involving coherent multi-qubit superpositions of data registers.”
Quote in the paperSubstantial claim - Study design and conductcitation
The authors verify the resulting entanglement via quantum state and process tomography.
“Here we implement a compiled version of Shor's algorithm, using photonic quantum-logic gates to realise the necessary processes, and verify the resulting entanglement via quantum state and process tomography [17,18].”
Quote in the paperSubstantial claim0 of 2 sources checked
- May combine two claims. 22
- Classified as probably not a substantial claim. 7
May combine two claims.
Findingown dataIn the order-4 circuit, output probabilities are 25% to within error, as expected; after classical processing half the time the algorithm finds r=4, again yielding the factors 3 and 5.
“We measure output probabilities of 25% to within error, as expected.After classical processing half the time the algorithm finds r=4, again yielding the factors 3 and 5.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the order-2 circuits, the binary outputs are 00 or 10; failure and success should have equal probabilities, and the authors measure them to be 50% to within error.
“In the order-2 circuits the binary outputs of the algorithm are 00 or 10: the former represents the expected failure mode of this circuit, the latter a successful determination of r=2; failure and success should have equal probabilities, we measure them to be 50% to within error.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe joint state of both registers after modular exponentiation indicates circuit performance; the authors find entangled states that partially overlap with the expected states, indicating some environmental decoherence.
“The joint state of both registers after modular exponentiation indicates circuit performance; we find entangled states that partially overlap with the expected states, Fig. 4, indicating some environmental decoherence.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe order-4 circuit reduces to a pair of cnots, allowing implementation in Fig. 1g.
“Thus the order-4 circuit, Fig. 1e), reduces to a pair of cnots, allowing us to implement the circuit in Fig. 1g).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe authors use a pair of compact optical gates, each operating on a dependent pair of photons, resulting in measured visibilities for both of V_r=98±2%.
“We use a pair of compact optical gates [8,9,10], Fig 2c),e), each operating on a dependent pair of photons, resulting in measured visibilities for both of V r =98±2%.”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Findingnone givenThe authors present two different implementations of the order-finding routine at the heart of Shor's algorithm, characterising the algorithmic and circuit performances.
“We present two different implementations of the order-finding routine at the heart of Shor's algorithm, characterising the algorithmic and circuit performances.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMeasured fidelity with the ideal state, a tensor product of two Bell-states, is F=68±3%; the state is partially-mixed, SL=52±4%, and entangled, with tangles of the component Bell-States of 41±5% and 33±5%.
“Measured fidelity with the ideal state, a tensor product of two Bell-states, is F =68±3%.The state is partially-mixed, SL=52±4%, and entangled, with tangles of the component Bell-States of 41±5% and 33±5%.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationThe authors use a linear-optical architecture where the required nonlinearity is induced by measurement; current experiments are not scalable, but there are clear paths to a fully scalable quantum architecture.
“We use a linear-optical architecture where the required nonlinearity is induced by measurement; current experiments are not scalable, but there are clear paths to a fully scalable quantum architecture [19,20].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
InterpretationcitationDirectly encoding the order-4 finding circuit requires six photons and at least one three-qubit and five two-qubit gates; this is currently infeasible because the best six-photon rate to date is 30 mHz, which would be reduced by six orders of magnitude using non-deterministic gates.
“Directly encoding the order-4 finding circuit, Fig. 1e), requires six photons and at least one three-qubit and five two-qubit gates.This is currently infeasible: the best sixphoton rate to date [12] is 30 mHz, which would be reduced by six orders of magnitude using non-deterministic gates.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] source
Not checked in the free run.
May combine two claims.
Interpretationown dataThus half the time the order-2 algorithm yields r=2, which gives the factors 3 and 5.
“Thus half the time the algorithm yields r=2, which gives the factors, 3 and 5.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationShor's algorithm can factor a k-bit number using 72k^3 elementary quantum gates; factoring 15 requires 4608 gates operating on 21 qubits.
“Shor's algorithm can factor a k-bit number using 72k 3 elementary quantum gates, e.g.factoring the smallest meaningful number, 15, requires 4608 gates operating on 21 qubits [13].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] source
Not checked in the free run.
May combine two claims.
InterpretationcitationThe fidelity of the four-qubit state with the ideal is higher than that of the three-qubit state, chiefly because the latter requires nonclassical interference of photons produced by independent sources, which suffer higher distinguishability, lowering gate performance.
“The fidelity of the four-qubit state with the ideal, Fig. 4b), is higher than that of the three-qubit state, Fig. 4a), chiefly because the latter requires nonclassical interference of photons produced by independent sources, which suffer higher distinguishability, lowering gate performance [29,30,31].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [29]
Not checked in the free run.
- cites [30]
Not checked in the free run.
- cites [31]
Not checked in the free run.
May combine two claims.
PremisecitationIn the liquid NMR demonstration, because the qubits are at all times in a highly mixed state and the dynamics can be fully modelled classically, neither the entanglement nor the coherent control at the core of Shor's algorithm can be implemented or verified.
“However, since the qubits are at all times in a highly mixed state [15], and the dynamics can be fully modelled classically [16], neither the entanglement nor the coherent control at the core of Shor's algorithm can be implemented or verified.”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
PremisereasoningIn all circuits Fig. 1b-g, the consecutive Hadamards in the top qubit of the argument-register cancel, so that this qubit and the gates controlled by it are redundant and need not be implemented experimentally.
“For all the circuits Fig. 1b)-g), the consecutive Hadamards in the top qubit of the argument-register cancel each other out (since h 2 =i): consequently both this qubit, and the gate(s) controlled by it, are redundant and need not be implemented experimentally.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationOrder-finding routines are a specific case of phase-estimation routines, which in turn underpin a wide variety of quantum algorithms, such as those in quantum chemistry.
“Order-finding routines are a specific case of phase-estimation routines, which in turn underpin a wide variety of quantum algorithms, such as those in quantum chemistry [34].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34]
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationA bound can be obtained by chaining the gate errors, F_p ≥20%; this is not a useful bound, compared with the fidelity between an ideal cz and doing nothing at all of F_p=25%.
“However, a bound can be obtained by chaining the gate errors, F p ≥20% [33].This is not a useful bound, c.f. the fidelity between an ideal cz and doing nothing at all of F p =25%!”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33]
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe authors use convex optimisation tomography to estimate errors via Monte-Carlo simulation.
“We use convex optimisation tomography [26] to estimate errors via Monte-Carlo simulation [6].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisereasoningApplication of Hadamard gates in the inverse QFT resets the |k> qubits to 0, inhibiting any gates controlled by them.
“Application of Hadamard gates in the inverse QFT reset the |k qubits to 0, inhibiting any gates controlled by them”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningThe |k> qubits do not become entangled to the function-register whereas the |a> qubits are maximally-entangled to it; after tracing out the function-register, the |a> qubits are in a maximally-mixed state and any further gates acting on them are redundant.
“The |k qubits do not become entangled to the function-register whereas the |a qubits are maximally-entangled to it-consequently after tracing out the function-register, the |a qubits are in a maximally-mixed state and any further gates acting on them are redundant.”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningAfter modular exponentiation, for any two values x and y that differ by an integer k number of orders, C^y mod N = C^x mod N, and the state becomes a sum over k and a of |k2^l+a>|C^a mod N>.
“After modular exponentiation, the circuit state is 2 n -1 x=0 |x |C x modN : for any two values x and y that differ by an integer, k number of orders, i.e. y-x=k 2 l , C y modN =C x modN , and the state after modular exponentiation becomes 2 n-l -1 k=0 2 l -1 a=0 |k2 l +a |C a modN .”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningThe remaining argument-register qubits are maximally-entangled to the function-register; since the function-register output is not measured, these argument qubits are maximally-mixed, and the subsequent gates in the inverse QFT are therefore also redundant.
“The remaining argumentregister qubits are maximally-entangled to the functionregister.Since the function-register output is not measured, these argument qubits are maximally-mixed, and the subsequent gates in the inverse QFT are therefore also redundant.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenFor larger circuits, full tomographic characterisation becomes exponentially impractical.
“For larger circuits, full tomographic characterisation becomes exponentially impractical.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningThe inverse QFT in Ref. [14] was unnecessary; this is true for any order-2^l circuit.
“Thus the inverse QFT in Ref. [14] was unnecessary: indeed, it is straightforward to show this is true for any order-2 l circuit.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisereasoningThe final step of the inverse QFT is to swap the first and last qubits of the argument register, which can be done after measurement.
“The final step of the inverse QFT is to swap the first and last qubits of the argument register which can be done after measurement.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
Only the two-qubit gates induce error in the order-4 circuit.
“by assuming that only these gates induce error”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A compiled version of Shor's algorithm has been demonstrated using four photonic qubits by Lu et al. (2007) and Lanyon et al. (2007).
“Recently, a compiled version of Shor's algorithm has been demonstrated using four photonic qubits by Lu et al. (2007) and Lanyon et al. (2007).”
From Multiphoton entanglement and interferometry (2012) · cites this paper as Lanyon et al. (2007)
Recently there has been substantial progress in investigations of other possible candidates for AQS, such as photonic systems, photonic and polariton systems, and artificial lattices in solid state systems.
“Recently there has also been substantial progress in investigations of other possible candidates for AQS, such as photonic systems [31, 32, 34-36], photonic and polariton systems [33, 38-42], artificial lattices in solid state systems [44].”
From Can one trust quantum simulators? (2012) · cites this paper as [31]
Cites
A scheme for efficient quantum computation with linear optics
Knill, E., Laflamme, R., & Milburn, G. J. (2001) · Nature · doi:10.1038/35051009 · Cited by 5,880 · see citing works
James, D. F. V., Kwiat, P. G., Munro, W. J., & White, A. G. (2001) · Physical Review A · doi:10.1103/physreva.64.052312 · Cited by 2,176 · see citing works
Self-citationExperimental realization of Shor's quantum factoring algorithm using nuclear magnetic resonance
Vandersypen, L. M. K., Steffen, M., Breyta, G., Yannoni, C. S., Sherwood, M. H., & Chuang, I. L. (2001) · Nature · doi:10.1038/414883a · Cited by 1,738 · see citing works
Simulated Quantum Computation of Molecular Energies
Aspuru-Guzik, A., Dutoi, A. D., Love, P. J., & Head-Gordon, M. (2005) · Science · doi:10.1126/science.1113479 · Cited by 1,418 · see citing works
Experimental one-way quantum computing
Walther, P., Resch, K. J., Rudolph, T., Schenck, E., Weinfurter, H., Vedral, V., Aspelmeyer, M., & Zeilinger, A. (2005) · Nature · doi:10.1038/nature03347 · Cited by 1,273 · see citing works
Experimental demonstration of a robust, high-fidelity geometric two ion-qubit phase gate
Leibfried, D., DeMarco, B., Meyer, V., Lucas, D., Barrett, M., Britton, J., Itano, W. M., Jelenković, B., Langer, C., Rosenband, T., et al. (2003) · Nature · doi:10.1038/nature01492 · Cited by 1,083 · see citing works
Demonstration of an all-optical quantum controlled-NOT gate
O'Brien, J. L., Pryde, G. J., White, A. G., Ralph, T. C., & Branning, D. (2003) · Nature · doi:10.1038/nature02054 · Cited by 992 · see citing works
Self-citationRealization of the Cirac–Zoller controlled-NOT quantum gate
Schmidt-Kaler, F., Häffner, H., Riebe, M., Gulde, S., Lancaster, G. P. T., Deuschle, T., Becher, C., Roos, C. F., Eschner, J., & Blatt, R. (2003) · Nature · doi:10.1038/nature01494 · Cited by 875 · see citing works
Complete Characterization of a Quantum Process: The Two-Bit Quantum Gate
Poyatos, J. F., Cirac, J. I., & Zoller, P. (1997) · Physical Review Letters · doi:10.1103/physrevlett.78.390 · Cited by 694 · see citing works
Experimental entanglement of six photons in graph states
Lu, C.-Y., Zhou, X.-Q., Gühne, O., Gao, W.-B., Zhang, J., Yuan, Z.-S., Goebel, A., Yang, T., & Pan, J.-W. (2007) · Nature Physics · doi:10.1038/nphys507 · Cited by 683 · see citing works
Distance measures to compare real and ideal quantum processes
Gilchrist, A., Langford, N. K., & Nielsen, M. A. (2005) · Physical Review A · doi:10.1103/physreva.71.062310 · Cited by 642 · see citing works
Self-citationOptical Quantum Computation Using Cluster States
Nielsen, M. A. (2004) · Physical Review Letters · doi:10.1103/physrevlett.93.040503 · Cited by 614 · see citing works
Separability of Very Noisy Mixed States and Implications for NMR Quantum Computing
Braunstein, S. L., Caves, C. M., Jozsa, R., Linden, N., Popescu, S., & Schack, R. (1999) · Physical Review Letters · doi:10.1103/physrevlett.83.1054 · Cited by 566 · see citing works
Measurement of the Entanglement of Two Superconducting Qubits via State Tomography
Steffen, M., Ansmann, M., Bialczak, R. C., Katz, N. Y., Lucero, E. A., McDermott, R., Neeley, M., Weig, E. M., Cleland, A. N., & Martinis, J. M. (2006) · Science · doi:10.1126/science.1130886 · Cited by 542 · see citing works
Experimental Detection of Multipartite Entanglement using Witness Operators
Bourennane, M., Eibl, M., Kurtsiefer, C., Gaertner, S., Weinfurter, H., Gühne, O., Hyllus, P., Bruß, D., Lewenstein, M., & Sanpera, A. (2004) · Physical Review Letters · doi:10.1103/physrevlett.92.087902 · Cited by 522 · see citing works
Quantum Process Tomography of a Controlled-NOT Gate
O'Brien, J. L., Pryde, G. J., Gilchrist, A., James, D. F. V., Langford, N. K., Ralph, T. C., & White, A. G. (2004) · Physical Review Letters · doi:10.1103/physrevlett.93.080502 · Cited by 499 · see citing works
Self-citationSemiclassical Fourier Transform for Quantum Computation
Griffiths, R. B., & Niu, C.-S. (1996) · Physical Review Letters · doi:10.1103/physrevlett.76.3228 · Cited by 431 · see citing works
High-speed linear optics quantum computing using active feed-forward
Prevedel, R., Walther, P., Tiefenbacher, F., Böhi, P., Kaltenbaek, R., Jennewein, T., & Zeilinger, A. (2007) · Nature · doi:10.1038/nature05346 · Cited by 373 · see citing works
Linear Optics Controlled-Phase Gate Made Simple
Kiesel, N., Schmid, C., Weber, U., Ursin, R., & Weinfurter, H. (2005) · Physical Review Letters · doi:10.1103/physrevlett.95.210505 · Cited by 296 · see citing works
Efficient networks for quantum factoring
Beckman, D., Chari, A. N., Devabhaktuni, S., & Preskill, J. (1996) · Physical Review A · doi:10.1103/physreva.54.1034 · Cited by 268 · see citing works
Demonstration of a Simple Entangling Optical Gate and Its Use in Bell-State Analysis
Langford, N. K., Weinhold, T. J., Prevedel, R., Resch, K. J., Gilchrist, A., O’Brien, J. L., Pryde, G. J., & White, A. G. (2005) · Physical Review Letters · doi:10.1103/physrevlett.95.210504 · Cited by 262 · see citing works
Self-citationDemonstration of an Optical Quantum Controlled-NOT Gate without Path Interference
Okamoto, R., Hofmann, H. F., Takeuchi, S., & Sasaki, K. (2005) · Physical Review Letters · doi:10.1103/physrevlett.95.210506 · Cited by 251 · see citing works
Experimental Interference of Independent Photons
Kaltenbaek, R., Blauensteiner, B., Żukowski, M., Aspelmeyer, M., & Zeilinger, A. (2006) · Physical Review Letters · doi:10.1103/physrevlett.96.240502 · Cited by 215 · see citing works
White, A. G., Gilchrist, A., Pryde, G. J., O’Brien, J. L., Bremner, M. J., & Langford, N. K. (2007) · Journal of the Optical Society of America B · doi:10.1364/josab.24.000172 · Cited by 134 · see citing works
Self-citationNon-classical interference between independent sources
Rarity, J. G., Tapster, P. R., & Loudon, R. (2005) · Journal of Optics B Quantum and Semiclassical Optics · doi:10.1088/1464-4266/7/7/007 · Cited by 122 · see citing works
Local Realistic Model for the Dynamics of Bulk-Ensemble NMR Information Processing
Menicucci, N. C., & Caves, C. M. (2002) · Physical Review Letters · doi:10.1103/physrevlett.88.167901 · Cited by 43 · see citing works
Scaling of multiple postselected quantum gates in optics
Ralph, T. C. (2004) · Physical Review A · doi:10.1103/physreva.70.012312 · Cited by 21 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- P. Shor, 1994, Proc. 35th Ann. Symp. Found. Comp. Sci.
Cited by
Sorted by citations
Ladd, T. D., Jelezko, F., Laflamme, R., Nakamura, Y., Monroe, C., & O’Brien, J. L. (2010) · Nature · doi:10.1038/nature08812 · Cited by 3,592 · see citing works
O'Brien, J. L., Furusawa, A., & Vučković, J. (2009) · Nature Photonics · doi:10.1038/nphoton.2009.229 · Cited by 2,388 · see citing works
Multiphoton entanglement and interferometry
Pan, J.-W., Chen, Z.-B., Lu, C.-Y., Weinfurter, H., Zeilinger, A., & Żukowski, M. (2012) · Reviews of Modern Physics · doi:10.1103/revmodphys.84.777 · Cited by 1,410 · see citing works
The Variational Quantum Eigensolver: A review of methods and best practices
Tilly, J., Chen, H., Cao, S., Picozzi, D., Setia, K., Li, Y., Grant, E., Wossnig, L., Rungger, I., Booth, G. H., et al. (2022) · Physics Reports · doi:10.1016/j.physrep.2022.08.003 · Cited by 1,031 · see citing works
Boson Sampling on a Photonic Chip
Spring, J. B., Metcalf, B. J., Humphreys, P. C., Kolthammer, W. S., Jin, X.-M., Barbieri, M., Datta, A., Thomas-Peter, N., Langford, N. K., Kundys, D., et al. (2013) · Science · doi:10.1126/science.1231692 · Cited by 837 · see citing works
Self-citationTowards quantum chemistry on a quantum computer
Lanyon, B. P., Whitfield, J. D., Gillett, G. G., Goggin, M. E., Almeida, M. P., Kassal, I., Biamonte, J. D., Mohseni, M., Powell, B. J., Barbieri, M., et al. (2010) · Nature Chemistry · doi:10.1038/nchem.483 · Cited by 796 · see citing works
Self-citationSimplifying quantum logic using higher-dimensional Hilbert spaces
Lanyon, B. P., Barbieri, M., de Almeida, M. P., Jennewein, T. D., Ralph, T. C., Resch, K. J., Pryde, G. J., O’Brien, J. L., Gilchrist, A., & White, A. G. (2008) · Nature Physics · doi:10.1038/nphys1150 · Cited by 739 · see citing works
Self-citationPhotonic quantum information processing: a concise review
Slussarenko, S., & Pryde, G. J. (2019) · Applied Physics Reviews · doi:10.1063/1.5115814 · Cited by 644 · see citing works
Realization of a scalable Shor algorithm
Monz, T., Nigg, D., Martinez, E. A., Brandl, M. F., Schindler, P., Rines, R., Wang, S. X., Chuang, I. L., & Blatt, R. (2016) · Science · doi:10.1126/science.aad9480 · Cited by 486 · see citing works
Chen, M., Menicucci, N. C., & Pfister, O. (2014) · Physical Review Letters · doi:10.1103/physrevlett.112.120505 · Cited by 473 · see citing works
Shor’s Quantum Factoring Algorithm on a Photonic Chip
Politi, A., Matthews, J. C. F., & O'Brien, J. L. (2009) · Science · doi:10.1126/science.1173731 · Cited by 477 · see citing works
Operating Quantum States in Single Magnetic Molecules: Implementation of Grover’s Quantum Algorithm
Godfrin, C., Ferhat, A., Ballou, R., Klyatskaya, S. V., Ruben, M., Wernsdorfer, W., & Balestro, F. (2017) · Physical Review Letters · doi:10.1103/physrevlett.119.187702 · Cited by 354 · see citing works
Experimental realization of Shor's quantum factoring algorithm using qubit recycling
Martín-López, E., Laing, A., Lawson, T., Alvarez, R., Zhou, X.-Q., & O'Brien, J. L. (2012) · Nature Photonics · doi:10.1038/nphoton.2012.259 · Cited by 349 · see citing works
Experimental demonstration of a hyper-entangled ten-qubit Schrödinger cat state
Gao, W.-B., Lu, C.-Y., Yao, X.-C., Xu, P., Gühne, O., Goebel, A., Chen, Y.-A., Peng, C.-Z., Chen, Z.-B., & Pan, J.-W. (2010) · Nature Physics · doi:10.1038/nphys1603 · Cited by 348 · see citing works
Computing prime factors with a Josephson phase qubit quantum processor
Lucero, E., Barends, R., Chen, Y., Kelly, J., Mariantoni, M., Megrant, A., O’Malley, P., Sank, D., Vainsencher, A., Wenner, J., et al. (2012) · Nature Physics · doi:10.1038/nphys2385 · Cited by 311 · see citing works
Can one trust quantum simulators?
Hauke, P., Cucchietti, F. M., Tagliacozzo, L., Deutsch, I., & Lewenstein, M. (2012) · Reports on Progress in Physics · doi:10.1088/0034-4885/75/8/082401 · Cited by 315 · see citing works
Parametric down-conversion photon-pair source on a nanophotonic chip
Guo, X., Zou, C., Schuck, C., Jung, H., Cheng, R., & Tang, H. X. (2016) · Light Science & Applications · doi:10.1038/lsa.2016.249 · Cited by 305 · see citing works
Dietrich, C. P., Fiore, A., Thompson, M. G., Kamp, M., & Höfling, S. (2016) · Laser & Photonics Review · doi:10.1002/lpor.201500321 · Cited by 266 · see citing works
On the genesis and evolution of Integrated Quantum Optics
Tanzilli, S., Martin, A., Kaiser, F., de Micheli, M., Alibart, O., & Ostrowsky, D. B. (2011) · Laser & Photonics Review · doi:10.1002/lpor.201100010 · Cited by 251 · see citing works
Quantum computing for healthcare: a review
Ur Rasool, R., Ahmad, H. F., Rafique, W., Qayyum, A., Qadir, J., & Anwar, Z. (2023) · Future Internet · doi:10.3390/fi15030094 · Cited by 242 · see citing works
Toward large-scale fault-tolerant universal photonic quantum computing
Takeda, S., & Furusawa, A. (2019) · APL Photonics · doi:10.1063/1.5100160 · Cited by 234 · see citing works
Entanglement-Based Machine Learning on a Quantum Computer
Cai, X., Wu, D., Su, Z.-E., Chen, M.-C., Wang, X., Li, L., Liu, N.-L., Lu, C., & Pan, J.-W. (2015) · Physical Review Letters · doi:10.1103/physrevlett.114.110504 · Cited by 205 · see citing works
Experimental generation of an eight-photon Greenberger–Horne–Zeilinger state
Huang, Y., Liu, B., Peng, L., Li, Y.-H., Li, L., Li, C., & Guo, G. (2011) · Nature Communications · doi:10.1038/ncomms1556 · Cited by 193 · see citing works
Experimental Bayesian Quantum Phase Estimation on a Silicon Photonic Chip
Paesani, S., Gentile, A. A., Santagati, R., Wang, J., Wiebe, N., Tew, D. P., O’Brien, J. L., & Thompson, M. G. (2017) · Physical Review Letters · doi:10.1103/physrevlett.118.100503 · Cited by 178 · see citing works
Quantum Factorization of 143 on a Dipolar-Coupling Nuclear Magnetic Resonance System
Xu, N., Zhu, J., Lu, D., Zhou, X., Peng, X., & Du, J. (2012) · Physical Review Letters · doi:10.1103/physrevlett.108.130501 · Cited by 182 · see citing works
Temporally unstructured quantum computation
Shepherd, D. J., & Bremner, M. J. (2009) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.2008.0443 · Cited by 170 · see citing works
Quantum Adiabatic Algorithm for Factorization and Its Experimental Implementation
Peng, X., Liao, Z., Xu, N., Qin, G., Zhou, X., Suter, D., & Du, J. (2008) · Physical Review Letters · doi:10.1103/physrevlett.101.220405 · Cited by 175 · see citing works
Quantum Annealing for Prime Factorization
Jiang, S., Britt, K. A., McCaskey, A., Humble, T. S., & Kais, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-36058-z · Cited by 179 · see citing works
Adding control to arbitrary unknown quantum operations
Zhou, X.-Q., Ralph, T. C., Kalasuwan, P., Zhang, M., Peruzzo, A., Lanyon, B. P., & O'Brien, J. L. (2011) · Nature Communications · doi:10.1038/ncomms1392 · Cited by 173 · see citing works
Self-citationExperimental Quantum Computing to Solve Systems of Linear Equations
Cai, X.-D., Weedbrook, C., Su, Z.-E., Chen, M.-C., Gu, M., Zhu, M.-J., Li, L., Liu, N.-L., Lu, C.-Y., & Pan, J.-W. (2013) · Physical Review Letters · doi:10.1103/physrevlett.110.230501 · Cited by 173 · see citing works
Heralded generation of entangled photon pairs
Barz, S., Cronenberg, G., Zeilinger, A., & Walther, P. (2010) · Nature Photonics · doi:10.1038/nphoton.2010.156 · Cited by 169 · see citing works
Multiphoton quantum interference in a multiport integrated photonic device
Metcalf, B. J., Thomas-Peter, N. L., Spring, J. B., Kundys, D. O., Broome, M. A., Humphreys, P. C., Jin, X., Barbieri, M., Kolthammer, W. S., Gates, J. C., et al. (2013) · Nature Communications · doi:10.1038/ncomms2349 · Cited by 161 · see citing works
Self-citationNunn, J., Wright, L. J., Söller, C., Zhang, L., Walmsley, I. A., & Smith, B. J. (2013) · Optics Express · doi:10.1364/oe.21.015959 · Cited by 165 · see citing works
Statistical assertions for validating patterns and finding bugs in quantum programs
Huang, Y., & Martonosi, M. (2019) · Proceedings - International Symposium on Computer Architecture/Proceedings · doi:10.1145/3307650.3322213 · Cited by 169 · see citing works
Patel, R. B., Ho, J., Ferreyrol, F., Ralph, T. C., & Pryde, G. J. (2016) · Science Advances · doi:10.1126/sciadv.1501531 · Cited by 157 · see citing works
Entanglement of bosonic modes through an engineered exchange interaction
Gao, Y. Y., Lester, B., Chou, K. S., Frunzio, L., Devoret, M., Jiang, L., Girvin, S. M., & Schoelkopf, R. J. (2019) · Nature · doi:10.1038/s41586-019-0970-4 · Cited by 142 · see citing works
Phase-controlled integrated photonic quantum circuits
Smith, B. J., Kundys, D. O., Thomas-Peter, N. L., Smith, P. G. R., & Walmsley, I. A. (2009) · Optics Express · doi:10.1364/oe.17.013516 · Cited by 138 · see citing works
Oversimplifying quantum factoring
Smolin, J. A., Smith, G., & Vargo, A. (2013) · Nature · doi:10.1038/nature12290 · Cited by 125 · see citing works
Bapst, V., Foini, L., Krząkała, F., Semerjian, G., & Zamponi, F. (2012) · Physics Reports · doi:10.1016/j.physrep.2012.10.002 · Cited by 127 · see citing works
Quantum Walks for Computer Scientists
Venegas-Andraca, S. E. (2008) · Synthesis lectures on quantum computing · doi:10.1007/978-3-031-02511-2 · Cited by 123 · see citing works
Quantum algorithm for obtaining the energy spectrum of molecular systems
Wang, H., Kais, S., Aspuru-Guzik, A., & Hoffmann, M. R. (2008) · Physical Chemistry Chemical Physics · doi:10.1039/b804804e · Cited by 109 · see citing works
An Efficient Quantum Computing technique for cracking RSA using Shor’s Algorithm
Bhatia, V., & Ramkumar, K. R. (2020) · International Conference on Computing, Communication and Automation · doi:10.1109/iccca49541.2020.9250806 · Cited by 111 · see citing works
Direct characterization of linear-optical networks
Rahimi-Keshari, S., Broome, M. A., Fickler, R., Fedrizzi, A., Ralph, T. C., & White, A. G. (2013) · Optics Express · doi:10.1364/oe.21.013450 · Cited by 109 · see citing works
Self-citationBapst, V., Foini, L., Krząkała, F., Semerjian, G., & Zamponi, F. (2012) · HAL · Cited by 124 · see citing works
Experimental Blind Quantum Computing for a Classical Client
Huang, H.-L., Zhao, Q., Ma, X., Liu, C., Su, Z.-E., Wang, X., Li, L., Liu, N.-L., Sanders, B. C., Lu, C., et al. (2017) · Physical Review Letters · doi:10.1103/physrevlett.119.050503 · Cited by 98 · see citing works
Integrated waveguide circuits for optical quantum computing
Thompson, M. G., Politi, A., Matthews, J. C. F., & O’Brien, J. L. (2011) · IET Circuits Devices & Systems · doi:10.1049/iet-cds.2010.0108 · Cited by 89 · see citing works
Krischek, R., Wieczorek, W., Ozawa, A., Kiesel, N., Michelberger, P., Udem, T., & Weinfurter, H. (2009) · Nature Photonics · doi:10.1038/nphoton.2009.286 · Cited by 87 · see citing works
Gauss Sum Factorization with Cold Atoms
Gilowski, M., Wendrich, T., Müller, T., Jentsch, C., Ertmer, W. A., Rasel, E. M., & Schleich, W. P. (2008) · Physical Review Letters · doi:10.1103/physrevlett.100.030201 · Cited by 80 · see citing works
Constant-optimized quantum circuits for modular multiplication and exponentiationPreprint
Markov, I. L., & Saeedi, M. (2012) · arXiv (Cornell University) · doi:10.5555/2230996.2230997 · Cited by 80 · see citing works
Ralph, T. C., & Pryde, G. J. (2009) · Progress in optics · doi:10.1016/s0079-6638(10)05409-0 · Cited by 79 · see citing works
Experimental quantum coding against qubit loss error
Lu, C., Gao, W., Zhang, J., Zhou, X., Yang, T., & Pan, J.-W. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800740105 · Cited by 75 · see citing works
Experimental study of Shor's factoring algorithm using the IBM Q Experience
Amico, M., Saleem, Z. H., & Kumph, M. (2019) · Physical Review A · doi:10.1103/physreva.100.012305 · Cited by 74 · see citing works
Indistinguishable Entangled Photons Generated by a Light-Emitting Diode
Stevenson, R. M., Salter, C. L., Nilsson, J., Bennett, A. J., Ward, M. B., Farrer, I. A., Ritchie, D. A., & Shields, A. J. (2012) · Physical Review Letters · doi:10.1103/physrevlett.108.040503 · Cited by 75 · see citing works
Quantum algorithm for obtaining the energy spectrum of molecular systems
Wang, H., Kais, S., Aspuru‐Guzik, A., & Hoffmann, M. R. (2008) · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · Cited by 75 · see citing works
Nuclear magnetic resonance for quantum computing: Techniques and recent achievements
Xin, T., Wang, B.-X., Li, K., Kong, X., Wei, S.-J., Wang, T., Ruan, D., & Long, G. (2018) · Chinese Physics B · doi:10.1088/1674-1056/27/2/020308 · Cited by 73 · see citing works
Quantum Algorithm Design: Techniques and Applications
Shao, C., Yang, L., & Li, H. (2019) · Journal of Systems Science and Complexity · doi:10.1007/s11424-019-9008-0 · Cited by 73 · see citing works
Benchmarking quantum computers
Proctor, T. J., Young, K. C., Baczewski, A., & Blume-Kohout, R. (2025) · Nature Reviews Physics · doi:10.1038/s42254-024-00796-z · Cited by 78 · see citing works
Five Measurement Bases Determine Pure Quantum States on Any Dimension
Goyeneche, D., Cañas, G., Etcheverry, S., Gómez, E. S., XAVIER, G. B., Lima, G., & Delgado, A. (2015) · Physical Review Letters · doi:10.1103/physrevlett.115.090401 · Cited by 71 · see citing works
Demonstration of Shor’s factoring algorithm for N $$=$$ 21 on IBM quantum processors
Skosana, U., & Tame, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-95973-w · Cited by 67 · see citing works
Prime factorization algorithm based on parameter optimization of Ising model
Wang, B., Hu, F., Yao, H., & Wang, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-62802-5 · Cited by 69 · see citing works
Observation of ten-photon entanglement using thin BiB_3O_6 crystals
Chen, L.-K., Li, Z.-D., Yao, X.-C., Huang, M., Li, W., Lu, H., Yuan, X., Zhang, Y.-B., Jiang, X., Peng, C.-Z., et al. (2017) · Optica · doi:10.1364/optica.4.000077 · Cited by 65 · see citing works
Quantum Walks for Computer Scientists
Venegas-Andraca, S. E. (2008) · Synthesis lectures on quantum computing · doi:10.2200/s00144ed1v01y200808qmc001 · Cited by 66 · see citing works
A benchmark test of boson sampling on Tianhe-2 supercomputer
Wu, J., Liu, Y., Zhang, B., Jin, X., Wang, Y., Wang, H., & Yang, X. (2018) · National Science Review · doi:10.1093/nsr/nwy079 · Cited by 60 · see citing works
Nonlocal photonic quantum gates over 7.0 km
Liu, X., Hu, X.-M., Zhu, T.-X., Zhang, C., Xiao, Y., Miao, J.-L., Ou, Z.-W., Li, P.-Y., Liu, B., Zhou, Z., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-52912-3 · Cited by 59 · see citing works
Calculating unknown eigenvalues with a quantum algorithm
Zhou, X., Kalasuwan, P., Ralph, T. C., & O’Brien, J. L. (2013) · Nature Photonics · doi:10.1038/nphoton.2012.360 · Cited by 57 · see citing works
Barz, S. (2015) · Journal of Physics B Atomic Molecular and Optical Physics · doi:10.1088/0953-4075/48/8/083001 · Cited by 51 · see citing works
From Spintronic Memristors to Quantum Computing
Qin, J., Sun, B. T., Zhou, G., Guo, T., Chen, Y., Ke, C., Mao, S., Chen, X., Shao, J., & Zhao, Y. X. (2023) · ACS Materials Letters · doi:10.1021/acsmaterialslett.3c00088 · Cited by 49 · see citing works
Quantum interferometers: Principles and applications
Jin, R., Zeng, Z.-Q., You, C., & Yuan, C. (2024) · Progress in Quantum Electronics · doi:10.1016/j.pquantelec.2024.100519 · Cited by 45 · see citing works
Single-photon emission of InAs/InP quantum dashes at 1.55 μm and temperatures up to 80 K
Dusanowski, Ł., Syperek, M., Misiewicz, J., Somers, A., Höfling, S., Kamp, M., Reithmaier, J. P., & Sek, G. (2016) · Applied Physics Letters · doi:10.1063/1.4947448 · Cited by 44 · see citing works
Demonstration of topological data analysis on a quantum processor
Huang, H.-L., Wang, X., Rohde, P. P., Luo, Y.-H., Zhao, Y., Liu, C., Li, L., Liu, N.-L., Lu, C., & Pan, J.-W. (2018) · Optica · doi:10.1364/optica.5.000193 · Cited by 47 · see citing works
A proposed testbed for detector tomography
Coldenstrodt-Ronge, H. B., Lundeen, J. S., Pregnell, K. L., Feito, Á., Smith, B. J., Mauerer, W., Silberhorn, C., Eisert, J., Plenio, M. B., & Walmsley, I. A. (2008) · Journal of Modern Optics · doi:10.1080/09500340802304929 · Cited by 42 · see citing works
Xu, K., Xie, T., Li, Z., Xu, X., Wang, M., Ye, X., Kong, F., Geng, J., Duan, C., Shi, F., et al. (2017) · Physical Review Letters · doi:10.1103/physrevlett.118.130504 · Cited by 41 · see citing works
Optimising Matrix Product State Simulations of Shor's Algorithm
Dang, A., Hill, C. D., & Hollenberg, L. C. L. (2019) · Quantum · doi:10.22331/q-2019-01-25-116 · Cited by 38 · see citing works
QDB: From Quantum Algorithms Towards Correct Quantum ProgramsPreprint
Huang, Y., & Martonosi, M. (2018) · arXiv (Cornell University) · doi:10.4230/oasics.plateau.2018.4 · Cited by 38 · see citing works
Gavoille, C., Kosowski, A., & Markiewicz, M. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04355-0_26 · Cited by 36 · see citing works
Jin, R., Zhang, J., Shimizu, R., Matsuda, N., Mitsumori, Y., Kosaka, H., & Edamatsu, K. (2011) · Physical Review A · doi:10.1103/physreva.83.031805 · Cited by 37 · see citing works
Adiabatic quantum computing with spin qubits hosted by molecules
Yamamoto, S., Nakazawa, S., Sugisaki, K., Sato, K., Toyota, K., Shiomi, D., & Takui, T. (2014) · Physical Chemistry Chemical Physics · doi:10.1039/c4cp04744c · Cited by 37 · see citing works
Fast quantum algorithm for protein structure prediction in hydrophobic-hydrophilic model
Wong, R., & Chang, W.-L. (2022) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2022.03.011 · Cited by 35 · see citing works
Faster quantum number factoring via circuit synthesis
Markov, I. L., & Saeedi, M. (2013) · Physical Review A · doi:10.1103/physreva.87.012310 · Cited by 34 · see citing works
Fast equivalence-checking for quantum circuits
Yamashita, S., & Markov, I. L. (2010) · International Symposium on Nanoscale Architectures · doi:10.5555/1835957.1835965 · Cited by 33 · see citing works
Thomas-Peter, N. L., Langford, N. K., Datta, A., Zhang, L., Smith, B. J., Spring, J. B., Metcalf, B. J., Coldenstrodt-Ronge, H. B., Hu, M., Nunn, J., et al. (2011) · New Journal of Physics · doi:10.1088/1367-2630/13/5/055024 · Cited by 32 · see citing works
Self-citationQuantum Speedup for Protein Structure Prediction
Wong, R., & Chang, W.-L. (2021) · IEEE Transactions on NanoBioscience · doi:10.1109/tnb.2021.3065051 · Cited by 35 · see citing works
Analysis of the likelihood of quantum computing proliferation
Rosch-Grace, D., & Straub, J. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.101880 · Cited by 35 · see citing works
Large-Scale Simulation of Shor’s Quantum Factoring Algorithm
Willsch, D., Willsch, M., Jin, F., Raedt, H. A. D., & Michielsen, K. F. L. (2023) · Mathematics · doi:10.3390/math11194222 · Cited by 34 · see citing works
Scalable photonic quantum technologies
Wang, H., Ralph, T. C., Renema, J. J., Lu, C., & Pan, J.-W. (2025) · Nature Materials · doi:10.1038/s41563-025-02306-7 · Cited by 33 · see citing works
Geller, M. R., Martinis, J. M., Sornborger, A. T., Stancil, P. C., Pritchett, E., You, H., & Galiautdinov, A. (2015) · Physical Review A · doi:10.1103/physreva.91.062309 · Cited by 31 · see citing works
Factoring numbers with a single interferogram
Tamma, V., Zhang, H., He, X., Garuccio, A., Schleich, W. P., & Shih, Y. H. (2011) · Physical Review A · doi:10.1103/physreva.83.020304 · Cited by 26 · see citing works
Simulating Correlations of Structured Spontaneously Down‐Converted Photon Pairs
Trajtenberg‐Mills, S., Karnieli, A., Voloch‐Bloch, N., Megidish, E., Eisenberg, H. S., & Arie, A. (2020) · Laser & Photonics Review · doi:10.1002/lpor.201900321 · Cited by 27 · see citing works
Digitized adiabatic quantum factorization
Hegade, N. N., Paul, K., Albarrán-Arriagada, F., Chen, X., & Solano, E. (2021) · Physical Review A · doi:10.1103/physreva.104.l050403 · Cited by 26 · see citing works
Quantum gate operations using atomic qubits through cavity input-output process
Song, J., Xia, Y., & Song, H. S. (2009) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/87/50005 · Cited by 25 · see citing works
Rasmussen, S. E., & Zinner, N. T. (2020) · Physical Review Research · doi:10.1103/physrevresearch.2.033097 · Cited by 25 · see citing works
Factoring 51 and 85 with 8 qubits
Geller, M. R., & Zhou, Z. (2013) · Scientific Reports · doi:10.1038/srep03023 · Cited by 25 · see citing works
Duan, Z.-C., Li, J.-P., Qin, J., Yu, Y., Huo, Y.-H., Höfling, S., Lu, C., Liu, N.-L., Chen, K., & Pan, J.-W. (2020) · Optics Express · doi:10.1364/oe.390209 · Cited by 25 · see citing works
NMR implementation of factoring large numbers with Gauß sums: Suppression of ghost factors
Peng, X., & Suter, D. (2008) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/84/40006 · Cited by 23 · see citing works
Scaling laws for Shor's algorithm with a banded quantum Fourier transform
Nam, Y., & Blümel, R. (2013) · Physical Review A · doi:10.1103/physreva.87.032333 · Cited by 23 · see citing works
Quantum optics and frontiers of physics: the third quantum revolution
Celi, A., Sanpera, A., Ahufinger, V., & Lewenstein, M. (2016) · Physica Scripta · doi:10.1088/1402-4896/92/1/013003 · Cited by 23 · see citing works
Linear optical CNOT gate with orbital angular momentum and polarization
Lopes, J. H., Soares, W. C., Bernardo, B. D. L., Caetano, D. P., & Canabarro, A. (2019) · Quantum Information Processing · doi:10.1007/s11128-019-2369-4 · Cited by 23 · see citing works
Factorization of numbers with Gauss sums: I. Mathematical background
Wölk, S., Merkel, W., Schleich, W. P., Averbukh, I. S., & Girard, B. (2011) · New Journal of Physics · doi:10.1088/1367-2630/13/10/103007 · Cited by 23 · see citing works
Experimental realization of SWAP operation on hyper-encoded qubits
Stárek, R., Miková, M., Straka, I., Dušek, M., Ježek, M., Fiurášek, J., & Mičuda, M. (2018) · Optics Express · doi:10.1364/oe.26.008443 · Cited by 22 · see citing works
Quantum fast hitting on glued trees mapped on a photonic chip
Shi, Z.-Y., Tang, H. L., Feng, Z., Wang, Y., Li, Z., Gao, J., Chang, Y.-J., Wang, T.-Y., Dou, J.-P., Zhang, Z.-Y., et al. (2020) · Optica · doi:10.1364/optica.388451 · Cited by 20 · see citing works
- Authors
- Lanyon, B. P., Weinhold, T. J., Langford, N. K., Barbieri, M., James, D. F. V., Gilchrist, A., & White, A. G.
- Affiliations
- The University of Queensland (AU)
- University of Toronto (CA)
- ORCID
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2007-12-19
- Volume
- 99
- Issue
- 25
- Pages
- 250505-250505
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W1783862658
- Semantic Scholar
- 7699daaa2beac5d1aecea718fd4c5a433e639b4a
- Cited by
- 327
- References
- 27
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 23 · 2023: 26 · 2022: 19 · 2021: 18 · 2020: 13 · 2019: 20 · 2018: 16 · 2017: 11 · 2016: 10 · 2015: 17 · 2014: 14 · 2013: 22 · 2012: 21
- FWCI
- 22.88
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Physical Review Letters (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Iris (Roma Tre University) (submittedVersion)
- Griffith Research Online (submittedVersion)
- arXiv (Cornell University)
- Funders
- Australian Research Council
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
- Keywords
- Shor's algorithm, quantum factoring, photonic quantum computing, quantum entanglement, coherent control, quantum circuit compilation, scalable quantum computing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review