The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
On the role of entanglement in quantum-computational speed-up
Open accessAbstract
For any quantum algorithm operating on pure states, we prove that the presence of multi‐partite entanglement, with a number of parties that increases unboundedly with input size, is necessary if the quantum algorithm is to offer an exponential speed‐up over classical computation. Furthermore, we prove that the algorithm can be efficiently simulated classically to within a prescribed tolerance η even if a suitably small amount of global entanglement is present. We explicitly identify the occurrence of increasing multi‐partite entanglement in Shor's algorithm. Our results do not apply to quantum algorithms operating on mixed states in general and we discuss the suggestion that an exponential computational speed‐up might be possible with mixed states in the total absence of entanglement. Finally, despite the essential role of entanglement for pure‐state algorithms, we argue that it is nevertheless misleading to view entanglement as a key resource for quantum‐computational power.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“It has been demonstrated that if the 'quantum entanglement phenomenon' is not used in the quantum algorithm, then the same algorithm can be worked with classical 0 and 1 bits computer systems without any remarkable change in computational speed.”
From Quantum Computing in the Next-Generation Computational Biology Landscape: From Protein Folding to Molecular Dynamics (2024) · cites this paper as [22]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The 'quantum entanglement phenomenon' is the cornerstone of quantum calculation speed and pieces of literature are available [21, 22].”
From Quantum Computing in the Next-Generation Computational Biology Landscape: From Protein Folding to Molecular Dynamics (2024) · cites this paper as [22]
Experimental — accuracy not yet measuredIn the citing paper
“The existence of entanglement is fundamental for useful quantum computation.”
From The prospects of quantum computing in computational molecular biology (2021) · cites this paper as [45]
In the citing paper
“It has been proved that any quantum algorithm that does not employ entanglement can be enacted in a classical computer with no significant difference in speed [44,45].”
From The prospects of quantum computing in computational molecular biology (2021) · cites this paper as [45]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A fast quantum mechanical algorithm for database search
Grover, L. K. (1996) · Proceedings of the twenty-eighth annual ACM symposium on Theory of computing - STOC '96 · doi:10.1145/237814.237866 · Cited by 8,830
Simulating physics with computers
Feynman, R. P. (1982) · International Journal of Theoretical Physics · doi:10.1007/bf02650179 · Cited by 7,691
Raussendorf, R., & Briegel, H. J. (2001) · Physical Review Letters · doi:10.1103/physrevlett.86.5188 · Cited by 4,477
Quantum Mechanics Helps in Searching for a Needle in a Haystack
Grover, L. K. (1997) · Physical Review Letters · doi:10.1103/physrevlett.79.325 · Cited by 4,306
Rapid solution of problems by quantum computation
Deutsch, D., & Jozsa, R. (1992) · Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences · doi:10.1098/rspa.1992.0167 · Cited by 2,700
Self-citationBhatia, R. (1997) · Graduate texts in mathematics · doi:10.1007/978-1-4612-0653-8 · Cited by 2,334
Volume of the set of separable states
Życzkowski, K., Horodecki, P., Sanpera, A., & Lewenstein, M. (1998) · Physical Review A · doi:10.1103/physreva.58.883 · Cited by 1,411
Power of One Bit of Quantum Information
Knill, E. H., & Laflamme, R. (1998) · Physical Review Letters · doi:10.1103/physrevlett.81.5672 · Cited by 918
Vidal, G., & Tarrach, R. (1999) · Physical Review A · doi:10.1103/physreva.59.141 · Cited by 601
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
Self-citation
Flagged first, then by citations
Research works printed but not linked: 12
- Ambainis A. Schulman L. & Vazirani U. 2000 Proc. 32nd Annual ACM Symp. Theory of Computing. New York: ACM Press.
- Bennett C. H., 1997, SIAM J, Computing, 26, 1510
- Bernstein E., 1997, SIAM J, Computing, 26, 1411
- Braunstein S., 2002, Quant, Informat. Computat., 2, 399
- Deutsch D., 1985, Proc, R. Soc. Lond. A, 400, 96
- Gottesman D. 1997 Stabiliser codes and quantum error correction. PhD thesis California Institute of Technology Pasadena CA.
- Jozsa R. 1998 The geometric universe (ed. S. Huggett L. Mason K. P. Tod S. T. Tsou & N. Woodhouse) pp. 369-379. Oxford University Press.
- Nielsen M. 2001 Universal quantum computation using only projective measurement quantum memory and preparation of the 0 state. (Available at http://xxx.arXiv.org/abs/quantph/0108020.)
- Nielsen M. & Chuang I. 2000 Quantum computation and quantum information. Cambridge University Press.
- Shor P., 1997, SIAM J, Computing, 26, 1484
- Simon D., 1997, SIAM J, Computing, 26, 1474
- Valiant L. 2001 Proc. 33rd Annual ACM Symp. Theory of Computing. New York: ACM Press.
Cited by
Sorted by citations
Items 201–300 of 837
Simulation of n-qubit quantum systems. I. Quantum registers and quantum gates
Radtke, T., & Fritzsche, S. (2005) · Computer Physics Communications · doi:10.1016/j.cpc.2005.07.006 · Cited by 31
Holographic software for quantum networks
Jaffe, A., Liu, Z., & Wozniakowski, A. (2018) · MPG.PuRe (Max Planck Society) · Cited by 30
Adiabatic Quantum Computing for Multi Object Tracking
Zaech, J.-N., Liniger, A., Danelljan, M., Dai, D., & Gool, L. V. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.00861 · Cited by 34
Xu, X.-M., Cheng, L., Liu, A., Su, S., Wang, H., & Zhang, S. (2015) · Quantum Information Processing · doi:10.1007/s11128-015-1111-0 · Cited by 30
Multipartite entanglement detection for hypergraph states
Ghio, M., Malpetti, D., Rossi, M. A. C., Bruß, D., & Macchiavello, C. (2017) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/aa99c9 · Cited by 32
Quantum entanglement phenomena in photosynthetic light harvesting complexes
Whaley, K. B., Sarovar, M., & Ishizaki, A. (2011) · Procedia Chemistry · doi:10.1016/j.proche.2011.08.021 · Cited by 31
Krisnanda, T., Ghosh, S., Paterek, T., & Liew, T. C. H. (2021) · Neural Networks · doi:10.1016/j.neunet.2021.01.003 · Cited by 32
Towards quantum computational mechanics
Liu, B., Ortíz, M., & Cirak, F. (2024) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2024.117403 · Cited by 34
Ding, Y., & Chong, F. T. (2020) · Synthesis lectures on computer architecture · doi:10.2200/s01014ed1v01y202005cac051 · Cited by 63
Quantum computers: Definition and implementations
Pérez-Delgado, C. A., & Kok, P. (2011) · Physical Review A · doi:10.1103/physreva.83.012303 · Cited by 32
Classical simulation of quantum entanglement using optical transverse modes in multimode waveguides
Fu, J. B., Si, Z., Tang, S., & Deng, J. Q. (2004) · Physical Review A · doi:10.1103/physreva.70.042313 · Cited by 27
Tamascelli, D., Rosenbach, R., & Plenio, M. B. (2015) · Physical Review E · doi:10.1103/physreve.91.063306 · Cited by 27
Can quantum mechanics help distributed computing?
Broadbent, A., & Tapp, A. (2008) · ACM SIGACT News · doi:10.1145/1412700.1412717 · Cited by 29
Quantum advantage without entanglement
Kenigsberg, D., Mor, A., & Ratsaby, G. (2006) · Quantum Information and Computation · doi:10.26421/qic6.7-4 · Cited by 27
Reddy, S., Sonker, D., Singh, P., Saxena, K., Singh, S., Chhajed, R., Tiwari, S., Karthik, K. V., Ghosh, S. K., Ray, K., et al. (2018) · Studies in computational intelligence · doi:10.1007/978-981-10-8049-4_1 · Cited by 27
Entanglement of indistinguishable particles: A comparative study
Lourenço, A. C., Debarba, T., & Duzzioni, E. I. (2019) · Physical Review A · doi:10.1103/physreva.99.012341 · Cited by 27
Generation of a Maximally Entangled State Using Collective Optical Pumping
Malinowski, M., Zhang, C., Negnevitsky, V., Rojkov, I., Reiter, F., Nguyen, T. L., Stadler, M., Kienzler, D., Mehta, K. K., & Home, J. (2022) · Physical Review Letters · doi:10.1103/physrevlett.128.080503 · Cited by 26
Quantum entanglement in the Sachdev—Ye—Kitaev model and its generalizations
Zhang, P. (2022) · Frontiers of Physics · doi:10.1007/s11467-022-1162-5 · Cited by 27
Atomic state teleportation: from internal to external degrees of freedom
Rameez‐ul‐Islam, Ikram, M., Ahmed, R., Khosa, A. H., & Saif, F. (2009) · Journal of Modern Optics · doi:10.1080/09500340902767421 · Cited by 27
Nonlocal quantum correlations under amplitude damping decoherence
Pramanik, T., Cho, Y., Han, S.-W., Lee, S., Moon, S., & Kim, Y. (2019) · Physical Review A · doi:10.1103/physreva.100.042311 · Cited by 26
Cappelletti, W., Erbanni, R., & Keller, J. (2020) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce49297.2020.00013 · Cited by 28
Experimental investigation on the geometry of GHZ states
Carvacho, G., Graffitti, F., D’Ambrosio, V., Hiesmayr, B. C., & Sciarrino, F. (2017) · Scientific Reports · doi:10.1038/s41598-017-13124-6 · Cited by 27
Generalized concurrence in boson sampling
Chin, S., & Huh, J. (2018) · Scientific Reports · doi:10.1038/s41598-018-24302-5 · Cited by 28
Characterization of entanglement on superconducting quantum computers of up to 414 qubits
Kam, J. F., Kang, H., Hill, C. D., Mooney, G. J., & Hollenberg, L. C. L. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.033155 · Cited by 32
Strong entanglement causes low gate fidelity in inaccurate one-way quantum computation
Morimae, T. (2010) · Physical Review A · doi:10.1103/physreva.81.060307 · Cited by 25
On the role of dealing with quantum coherence in amplitude amplification
Rastegin, A. E. (2018) · Quantum Information Processing · doi:10.1007/s11128-018-1946-2 · Cited by 25
Operator coherence dynamics in Grover's quantum search algorithm
Pan, M., & Qiu, D. (2019) · Physical Review A · doi:10.1103/physreva.100.012349 · Cited by 26
Comparing quantumness criteria
Martin, J., Micheli, A., & Vennin, V. (2023) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/acc3be · Cited by 32
Entanglement of localized states
Giraud, O., Martin, J., & Georgeot, B. (2007) · Physical Review A · doi:10.1103/physreva.76.042333 · Cited by 26
Detecting nonlocal Cooper pair entanglement by optical Bell inequality violation
Nigg, S. E., Tiwari, R. P., Walter, S., & Schmidt, T. L. (2015) · Physical Review B · doi:10.1103/physrevb.91.094516 · Cited by 24
Relating quantum coherence and correlations with entropy-based measures
Wang, X., Yue, Q.-L., Yu, C., Gao, F., & Qin, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-09332-9 · Cited by 25
Fermionic entanglement in the Lipkin model
Tullio, M. D., Rossignoli, R., Cerezo, M., & Gigena, N. (2019) · Physical Review A · doi:10.1103/physreva.100.062104 · Cited by 22
Speed limits on correlations in bipartite quantum systems
Pandey, V., Shrimali, D., Mohan, B., Das, S., & Pati, A. K. (2023) · Physical Review A · doi:10.1103/physreva.107.052419 · Cited by 29
Toscano, F., Saboia, A., Avelar, A. T., & Walborn, S. P. (2015) · Physical Review A · doi:10.1103/physreva.92.052316 · Cited by 23
Dynamics of quantum correlations in a quantum dot system with intrinsic decoherence effects
Chaouki, E., Dahbi, Z., & Mansour, M. (2022) · International Journal of Modern Physics B · doi:10.1142/s0217979222501417 · Cited by 22
Preparing valence-bond-solid states on noisy intermediate-scale quantum computers
Murta, B., Cruz, P. M. Q., & Fernández-Rossier, J. (2023) · Physical Review Research · doi:10.1103/physrevresearch.5.013190 · Cited by 23
Simulations of Shor’s algorithm using matrix product states
Wang, D. S., Hill, C. D., & Hollenberg, L. C. L. (2017) · Quantum Information Processing · doi:10.1007/s11128-017-1587-x · Cited by 22
Measurements, quantum discord, and parity in spin-1 systems
Rossignoli, R., Matera, J. M., & Canosa, N. (2012) · Physical Review A · doi:10.1103/physreva.86.022104 · Cited by 22
Entanglement and deterministic quantum computing with one qubit
Boyer, M., Brodutch, A., & Mor, T. (2017) · Physical Review A · doi:10.1103/physreva.95.022330 · Cited by 21
Fermionic entanglement in superconducting systems
Tullio, M. D., Gigena, N., & Rossignoli, R. (2018) · Physical Review A · doi:10.1103/physreva.97.062109 · Cited by 21
Coherence Depletion in Quantum Algorithms
Liu, Y.-C., Shang, J., & Zhang, X. (2019) · Entropy · doi:10.3390/e21030260 · Cited by 21
Multipartite entangled states, symmetric matrices and error-correcting codes
Feng, K., Jin, L., Xing, C., & Yuan, C. (2017) · IEEE Transactions on Information Theory · doi:10.1109/tit.2017.2700866 · Cited by 22
Entanglement classifier in chemical reactions
Li, J., & Kais, S. (2019) · Science Advances · doi:10.1126/sciadv.aax5283 · Cited by 22
Measurement-Based Quantum Correlations for Quantum Information Processing
Khalid, U., Rehman, J. U., & Shin, H. (2020) · Scientific Reports · doi:10.1038/s41598-020-59220-y · Cited by 23
Certainty and Uncertainty in Quantum Information ProcessingPreprint
Rieffel, E. G. (2007) · arXiv (Cornell University) · doi:10.48550/arxiv.quant-ph/0702121 · Cited by 22
An organic jelly made fractal logic gate with an infinite truth table
Ghosh, S. K., Fujita, D., & Bandyopadhyay, A. (2015) · Scientific Reports · doi:10.1038/srep11265 · Cited by 21
Quantum Discord in Nuclear Magnetic Resonance Systems at Room Temperature
Maziero, J., Auccaise, R., Céleri, L. C., Soares-Pinto, D. O., deAzevedo, E. R., Bonagamba, T. J., Sarthour, R. S., Oliveira, I. S., & Serra, R. M. (2013) · Brazilian Journal of Physics · doi:10.1007/s13538-013-0118-1 · Cited by 23
Practical measurement-device-independent entanglement quantification
Rosset, D., Martin, A., Verbanis, E., Lim, C. C. W., & Thew, R. (2018) · Physical Review A · doi:10.1103/physreva.98.052332 · Cited by 21
Entanglement and Entropic Uncertainty of Two Two‐Level Atoms
Zidan, N., Bakry, H., & Rahman, A. U. (2022) · Annalen der Physik · doi:10.1002/andp.202100555 · Cited by 21
Generating entanglement with linear optics
Stanisic, S., Linden, N., Montanaro, A., & Turner, P. S. (2017) · Physical Review A · doi:10.1103/physreva.96.043861 · Cited by 27
Self-citationQuantum entanglement involved in Grover’s and Shor’s algorithms: the four-qubit case
Jaffali, H., & Holweck, F. (2019) · Quantum Information Processing · doi:10.1007/s11128-019-2249-y · Cited by 29
The quadratic speedup in Grover's search algorithm from the entanglement perspective
Rungta, P. (2009) · Physics Letters A · doi:10.1016/j.physleta.2009.05.064 · Cited by 21
Entanglement and Subsystems, Entanglement beyond Subsystems, and All ThatPreprint
Viola, L., & Barnum, H. (2007) · arXiv (Cornell University) · doi:10.48550/arxiv.quant-ph/0701124 · Cited by 24
Activating hidden teleportation power: Theory and experiment
Li, J.-Y., Fang, X., Zhang, T., Tabia, G. N. M., Lu, H., & Liang, Y.-C. (2021) · Physical Review Research · doi:10.1103/physrevresearch.3.023045 · Cited by 22
Quantum k-uniform states for heterogeneous systems from irredundant mixed orthogonal arrays
Pang, S., Zhang, X., Fei, S.-M., & Zheng, Z.-J. (2021) · Quantum Information Processing · doi:10.1007/s11128-021-03040-0 · Cited by 21
Classification of four-qubit entangled states via machine learning
Vintskevich, S., Bao, N., NOMEROTSKI, A., Stankus, P. W., & Grigoriev, D. A. (2023) · Physical Review A · doi:10.1103/physreva.107.032421 · Cited by 23
Transition role of entangled data in quantum machine learning
Wang, X., Du, Y., Tu, Z., Luo, Y., Yuan, X., & Tao, D. (2024) · Nature Communications · doi:10.1038/s41467-024-47983-1 · Cited by 30
Bell nonlocality and entanglement in e + e − → Y Y ¯ at BESIII
Wu, S., Qian, C., Wang, Q., & Zhou, X. (2024) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.110.054012 · Cited by 43
Commuting quantum circuits: efficiently classical simulations versus hardness results
Ni, X., & den Nest, M. V. (2013) · Quantum Information and Computation · doi:10.26421/qic13.1-2-5 · Cited by 28
Optimizing the signal-to-noise ratio of biphoton distribution measurements
Reichert, M. C., Defienne, H., & Fleischer, J. W. (2018) · Physical Review A · doi:10.1103/physreva.98.013841 · Cited by 20
Studies on the Role of Entanglement in Mixed-state Quantum ComputationPreprint
Datta, A. (2008) · arXiv (Cornell University) · doi:10.48550/arxiv.0807.4490 · Cited by 47
Practical Verification of Quantum Properties in Quantum-Approximate-Optimization Runs
Alam, M. S., Wudarski, F., Reagor, M. J., Sud, J., Grabbe, S. R., Wang, Z., Hodson, M. J., Lott, P. A., Rieffel, E. G., & Venturelli, D. (2022) · Physical Review Applied · doi:10.1103/physrevapplied.17.024026 · Cited by 19
Quantivine: A Visualization Approach for Large-scale Quantum Circuit Representation and Analysis
Wen, Z., Liu, Y., Tan, S., Chen, J., Zhu, M., Han, D., Yin, J., Xu, M., & Chen, W. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3327148 · Cited by 25
SPIN SQUEEZING AND ENTANGLEMENT VIA FINITE-DIMENSIONAL DISCRETE PHASE-SPACE DESCRIPTION
Marchiolli, M. A., Galetti, D., & Debarba, T. (2013) · International Journal of Quantum Information · doi:10.1142/s0219749913300015 · Cited by 19
On the Significance of the Gottesman–Knill Theorem
Cuffaro, M. E. (2015) · The British Journal for the Philosophy of Science · doi:10.1093/bjps/axv016 · Cited by 19
Quantum correlations and least disturbing local measurements
Rossignoli, R., Canosa, N., & Ciliberti, L. (2011) · Physical Review A · doi:10.1103/physreva.84.052329 · Cited by 19
Dynamics of entanglement between two harmonic modes in stable and unstable regimes
Rebón, L., Canosa, N., & Rossignoli, R. (2014) · Physical Review A · doi:10.1103/physreva.89.042312 · Cited by 19
Classical emulation of a quantum computer
Cour, B. R. L., Ostrove, C. I., Ott, G. E., Starkey, M. J., & Wilson, G. R. (2016) · International Journal of Quantum Information · doi:10.1142/s0219749916400049 · Cited by 19
Entangled photon-added coherent states
Domínguez-Serna, F. A., Mendieta-Jiménez, F. J., & Rojas, F. (2016) · Quantum Information Processing · doi:10.1007/s11128-016-1325-9 · Cited by 19
Quantum circuits synthesis using Householder transformations
de Brugière, T. G., Baboulin, M., Valiron, B., & Allouche, C. (2019) · Computer Physics Communications · doi:10.1016/j.cpc.2019.107001 · Cited by 22
Distributed Arithmetic on a Quantum Multicomputer
Meter, R. V., Nemoto, K., Munro, W. J., & Itoh, K. M. (2006) · Proceedings - International Symposium on Computer Architecture/Proceedings · doi:10.1109/isca.2006.19 · Cited by 20
Degree of quantum correlation required to speed up a computation
Kay, A. (2015) · Physical Review A · doi:10.1103/physreva.92.062329 · Cited by 18
Multipartite entanglement states of higher uniformity
Pang, S., Xiao, Z., Du, J., & Wang, T. (2020) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/abc9a4 · Cited by 18
Discord and information deficit in the XX chain
Ciliberti, L., Canosa, N., & Rossignoli, R. (2013) · Physical Review A · doi:10.1103/physreva.88.012119 · Cited by 18
Rodriguez-Blanco, A., Bermudez, A., Müller, M., & Shähandeh, F. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.020304 · Cited by 21
The Deutsch–Jozsa problem: de-quantisation and entanglement
Abbott, A. A. (2011) · Natural Computing · doi:10.1007/s11047-011-9276-7 · Cited by 18
Solving search problems by strongly simulating quantum circuits
Johnson, T. H., Biamonte, J., Clark, S. R. L., & Jaksch, D. (2013) · Scientific Reports · doi:10.1038/srep01235 · Cited by 17
Measurement-Based Quantum Computation and Undecidable Logic
Van den Nest, M., & Briegel, H. J. (2008) · Foundations of Physics · doi:10.1007/s10701-008-9212-6 · Cited by 17
Correlation-Pattern-Based Continuous Variable Entanglement Detection through Neural Networks
Gao, X., Isoard, M., Sun, F.-X., Lopetegui, C. E., Xiang, Y., Parigi, V., He, Q., & Walschaers, M. (2024) · Physical Review Letters · doi:10.1103/physrevlett.132.220202 · Cited by 22
Complete complementarity relations in tree level QED processes
Blasone, M., Siena, S. D., Lambiase, G., Matrella, C., & Micciola, B. (2025) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.111.016007 · Cited by 26
Power of one bit of quantum information in quantum metrology
Cable, H. V., Gu, M., & Modi, K. K. (2016) · Physical Review A · doi:10.1103/physreva.93.040304 · Cited by 17
Coherence makes quantum systems ‘magical’
Mukhopadhyay, C., Sazim, S., & Pati, A. K. (2018) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/aac8e8 · Cited by 17
Nonlocal uncertainty and its implications in quantum mechanics at ultramicroscopic scales
El‐Nabulsi, R. A. (2018) · Quantum Studies Mathematics and Foundations · doi:10.1007/s40509-018-0170-1 · Cited by 17
Relevance of Near-Term Quantum Computing in the Cloud: A Humanities Perspective
Barzen, J., Leymann, F., Falkenthal, M., Vietz, D., Weder, B., & Wild, K. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-72369-9_2 · Cited by 18
Global multipartite entanglement dynamics in Grover’s search algorithm
Pan, M., Qiu, D., & Zheng, S. (2017) · Quantum Information Processing · doi:10.1007/s11128-017-1661-4 · Cited by 17
Advancements in Applications of Quantum Entanglement
Yu, Y. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2012/1/012113 · Cited by 18
Algebraic and group structure for bipartite anisotropic Ising model on a non-local basis
Delgado, F. (2015) · International Journal of Quantum Information · doi:10.1142/s0219749915500550 · Cited by 17
Computational power of matchgates with supplementary resources
Hebenstreit, M., Jozsa, R., Kraus, B., & Strelchuk, S. (2020) · Physical Review A · doi:10.1103/physreva.102.052604 · Cited by 18
Self-citationCzerwiński, A. (2022) · Quantum Information Processing · doi:10.1007/s11128-022-03682-8 · Cited by 16
Sharma, S. S., & Sharma, N. K. (2010) · Physical Review A · doi:10.1103/physreva.82.012340 · Cited by 16
Classical simulability and the significance of modular exponentiation in Shor’s algorithm
Yoran, N., & Short, A. J. (2007) · Physical Review A · doi:10.1103/physreva.76.060302 · Cited by 16
Uniform decoherence effect on localizable entanglement in random multiqubit pure states
Banerjee, R., Pal, A. K., & Sen, A. (2020) · Physical Review A · doi:10.1103/physreva.101.042339 · Cited by 18
Knill-Laflamme-Milburn Linear Optics Quantum Computation as a Measurement-Based Computation
Popescu, S. (2007) · Physical Review Letters · doi:10.1103/physrevlett.99.250501 · Cited by 19
Spectral properties versus magic generation in T -doped random Clifford circuits
Szombathy, D., Valli, A., Moca, C. P., Asbóth, J. K., Farkas, L., Rakovszky, T., & Zaránd, G. (2025) · Physical Review Research · doi:10.1103/557f-6tpb · Cited by 15
Chaouki, E., & Mansour, M. (2023) · Applied Physics B · doi:10.1007/s00340-023-08058-z · Cited by 15
Quantum Computing: Principles and Applications
Feng, G., Lu, D., Li, J., Xin, T., & Zeng, B. (2023) · SPIN · doi:10.1142/s2010324723300013 · Cited by 18
Quantum Computing Through the Lens of Control: A Tutorial Introduction
Berberich, J., & Fink, D. (2024) · IEEE Control Systems · doi:10.1109/mcs.2024.3466448 · Cited by 22
Upper bounds on fault tolerance thresholds of noisy Clifford-based quantum computers
Plenio, M. B., & Virmani, S. (2010) · OPen Access Repositorium der Universität Ulm (OPARU) (Ulm University) · doi:10.18725/oparu-46600 · Cited by 15
Measurement-Device-Independent Entanglement Detection for Continuous-Variable Systems
Abiuso, P., Bäuml, S., Cavalcanti, D., & Acín, A. (2021) · Physical Review Letters · doi:10.1103/physrevlett.126.190502 · Cited by 15
Blanco, A., Bermúdez, A., Müller, M., & Shähandeh, F. (2021) · RWTH Publications (RWTH Aachen) · Cited by 15
Metadata
- Authors
- Jozsa, R., & Linden, N.
- Affiliations
- University of Bristol (GB)
- ORCID
- Jozsa, Richard
- Venue
- Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences
- Publisher
- The Royal Society
- Published
- 2003-08-08
- Volume
- 459
- Issue
- 2036
- Pages
- 2011-2032
- ISSN
- 1364-5021 (ISSN-L)
- 1471-2946
- OpenAlex
- W2163036762
- Cited by
- 839
- References
- 18
- Citations by year
- 2026: 30 · 2025: 71 · 2024: 55 · 2023: 61 · 2022: 56 · 2021: 48 · 2020: 46 · 2019: 33 · 2018: 40 · 2017: 33 · 2016: 33 · 2015: 40 · 2014: 36 · 2013: 45 · 2012: 20
- FWCI
- 20.16
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Explore Bristol Research (submittedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- Cambridge University Engineering Department Publications Database (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
- Keywords
- quantum entanglement, multipartite entanglement, global entanglement, Shor's algorithm, classical simulation of quantum algorithms, exponential speedup, mixed states
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.
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