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Why I am optimistic about the silicon-photonic route to quantum computing
Open accessAbstract
This is a short overview explaining how building a large-scale, silicon-photonic quantum computer has been reduced to the creation of good sources of 3-photon entangled states (and may simplify further). Given such sources, each photon needs to pass through a small, constant, number of components, interfering with at most 2 other spatially nearby photons, and current photonics engineering has already demonstrated the manufacture of thousands of components on two-dimensional semiconductor chips with performance that, once scaled up, allows the creation of tens of thousands of photons entangled in a state universal for quantum computation. At present the fully integrated, silicon-photonic architecture we envisage involves creating the required entangled states by starting with single-photons produced non-deterministically by pumping silicon waveguides (or cavities) combined with on-chip filters and nanowire superconducting detectors to herald that a photon has been produced. These sources are multiplexed into being near-deterministic, and the single photons then passed through an interferometer to non-deterministically produce small entangled states—necessarily multiplexed to near-determinism again. This is followed by a “ballistic” scattering of the small-scale entangled photons through an interferometer such that some photons are detected, leaving the remainder in a large-scale entangled state which is provably universal for quantum computing implemented by single-photon measurements. There are a large number of questions regarding the optimum ways to make and use the final cluster state, dealing with static imperfections, constructing the initial entangled photon sources and so on, that need to be investigated before we can aim for millions of qubits capable of billions of computational time steps. The focus in this article is on the theoretical side of such questions.
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In the citing paper
“an array of 18 SFWM-SPSs in SiO 2 -waveguides [47] (4 SFWM-SPSs in Si-microresonators [48]) can produce heralded single-photons with a 52% (50%) heralding efficiency and 95% (91%) photon indistinguishability from separated SPSs.”
From Integrated photonic quantum technologies (2020) · cites this paper as [48]
In the citing paper
“The first chip-to-chip entanglement distribution [73] ( Fig.3b ), and recently quantum teleportation [48] were demonstrated between two programmable Si-chips, that integrate all necessary components including the entangled photon sources and Bell analyser.”
From Integrated photonic quantum technologies (2020) · cites this paper as [48]
In the citing paper
“Recently, a state-of-the-art Si-photonic quantum device having an array of nearly-optimal FWM-SPSs in microresonators and high-quality reconfigurable circuits was coherently controlled to demonstrate and certificate the genuine multipartite entanglement [48].”
From Integrated photonic quantum technologies (2020) · cites this paper as [48]
In the citing paper
“This technology has seen enormous progress in recent years, [8][9][10][11] and may offer a realistic approach to realizing the complex circuits needed for scalable photonic quantum computing and quantum networks.12”
From Integrated-optics heralded controlled-NOT gate for polarization-encoded qubits (2018) · cites this paper as [12]
In the citing paper
“This is an attractive platform for QIP: it has room temperature operation, the possibility of robust miniaturisation through photonic integrated circuits; in general it harnesses the highly developed optical fibre-related technology for QIP purposes.38”
From Quantum generalisation of feedforward neural networks (2017) · cites this paper as [38]
In the citing paper
“Conventionally phase shifters built upon the electro-optic effect are known to work in the megahertz region and have extremely low loss.38”
From Quantum generalisation of feedforward neural networks (2017) · cites this paper as [38]
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“This circuit can be made more robust and miniaturised using silicon or silica optical waveguides.38”
From Quantum generalisation of feedforward neural networks (2017) · cites this paper as [38]
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Cites
Mastering the game of Go with deep neural networks and tree search
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al. (2016) · Nature · doi:10.1038/nature16961 · Cited by 15,612
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
Raussendorf, R., & Briegel, H. J. (2001) · Physical Review Letters · doi:10.1103/physrevlett.86.5188 · Cited by 4,477
Measurement of subpicosecond time intervals between two photons by interference
Hong, C. K., Ou, Z. Y., & Mandel, L. (1987) · Physical Review Letters · doi:10.1103/physrevlett.59.2044 · Cited by 4,369
Surface codes: Towards practical large-scale quantum computation
Fowler, A. G., Mariantoni, M., Martinis, J. M., & Cleland, A. N. (2012) · Physical Review A · doi:10.1103/physreva.86.032324 · Cited by 3,059 · cited 1×
“For example, in [1], the authors calculate it requires 2×105 matter qubits with a raw error rate of 10−3 (as well as many thousands of gates and measurements etc) to achieve a magic state [2] with stochastic error rate of 3× 10−6.”
BackgroundA high-speed silicon optical modulator based on a metal–oxide–semiconductor capacitor
Liu, A., Jones, R., Liao, L., Samara-Rubio, D. A., Rubin, D., Cohen, O. M., Nicolaescu, R., & Paniccia, M. J. (2004) · Nature · doi:10.1038/nature02310 · Cited by 1,554
Universal quantum computation with ideal Clifford gates and noisy ancillas
Bravyi, S., & Kitaev, A. (2005) · Physical Review A · doi:10.1103/physreva.71.022316 · Cited by 1,525 · cited 2×
“However, with magic state injection techniques [2] the measurements need only be Pauli-X and Z basis measurements, and the whole tree structure is designed to allow inference of these outcomes counterfactually when a photon is lost.”
BackgroundA review of lithium niobate modulators for fiber-optic communications systems
Wooten, E. L., Kissa, K. M., Yi-Yan, A., Murphy, E. J., Lafaw, D. A., Hallemeier, P. F., Maack, D., Attanasio, D. V., Fritz, D. J., McBrien, G. J., et al. (2000) · IEEE Journal of Selected Topics in Quantum Electronics · doi:10.1109/2944.826874 · Cited by 1,330
Single-chip microprocessor that communicates directly using light
Sun, C., Wade, M. T., Lee, Y., Orcutt, J. S., Alloatti, L., Georgas, M. S., Waterman, A. S., Shainline, J. M., Avizienis, R. R., Lin, S., et al. (2015) · Nature · doi:10.1038/nature16454 · Cited by 1,314
Large-scale nanophotonic phased array
Sun, J., Timurdogan, E., Yaacobi, A., Hosseini, E. S., & Watts, M. R. (2013) · Nature · doi:10.1038/nature11727 · Cited by 1,282
Detecting single infrared photons with 93% system efficiency
Marsili, F., Verma, V. B., Stern, J. A., Harrington, S. D., Lita, A. E., Gerrits, T., Vayshenker, I., Baek, B., Shaw, M. D., Mirin, R. P., et al. (2013) · Nature Photonics · doi:10.1038/nphoton.2013.13 · Cited by 1,200
Silica-on-silicon waveguide quantum circuits
Politi, A., Cryan, M. J., Rarity, J. G., Yu, S., & O'Brien, J. L. (2008) · Science · doi:10.1126/science.1155441 · Cited by 1,084
Randomized benchmarking of quantum gates
Knill, E., Leibfried, D., Reichle, R., Britton, J., Blakestad, R. B., Jost, J. D., Langer, C., Ozeri, R., Seidelin, S., & Wineland, D. J. (2008) · Physical Review A · doi:10.1103/physreva.77.012307 · Cited by 1,019
The computational complexity of linear optics
Aaronson, S., & Arkhipov, A. (2011) · Proceedings of the forty-third annual ACM symposium on Theory of computing · doi:10.1145/1993636.1993682 · Cited by 874
Resource-Efficient Linear Optical Quantum Computation
Browne, D. E., & Rudolph, T. (2005) · Physical Review Letters · doi:10.1103/physrevlett.95.010501 · Cited by 790
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 762
Induced coherence and indistinguishability in optical interference
Zou, X. Y., Wang, L. J., & Mandeļ, L. (1991) · Physical Review Letters · doi:10.1103/physrevlett.67.318 · Cited by 645
Topological fault-tolerance in cluster state quantum computation
Raussendorf, R., Harrington, J., & Goyal, K. (2007) · New Journal of Physics · doi:10.1088/1367-2630/9/6/199 · Cited by 617
All-photonic quantum repeaters
Azuma, K., Tamaki, K., & Lo, H.-K. (2015) · Nature Communications · doi:10.1038/ncomms7787 · Cited by 583 · cited 1×
“It forms the basis of a recent quantum repeater proposal [64].”
BackgroundExperimental entanglement purification of arbitrary unknown states
Pan, J.-W., Gasparoni, S., Ursin, R., Weihs, G., & Zeilinger, A. (2003) · Nature · doi:10.1038/nature01623 · Cited by 516
On-chip quantum interference between silicon photon-pair sources
Silverstone, J. W., Bonneau, D., Ohira, K., Suzuki, N., Yoshida, H., Iizuka, N., Ezaki, M., Natarajan, C. M., Tanner, M. G., Hadfield, R. H., et al. (2014) · Nature Photonics · doi:10.1038/nphoton.2013.339 · Cited by 504
Superconducting nanowire photon-number-resolving detector at telecommunication wavelengths
Divochiy, A., Marsili, F., Bitauld, D., Gaggero, A., Leoni, R., Mattioli, F., Korneev, A., Seleznev, V., Kaurova, N., Minaeva, O., et al. (2008) · Nature Photonics · doi:10.1038/nphoton.2008.51 · Cited by 406
A fault-tolerant one-way quantum computer
Raussendorf, R., Harrington, J., & Goyal, K. (2006) · Annals of Physics · doi:10.1016/j.aop.2006.01.012 · Cited by 397
Generation of correlated photons in nanoscale silicon waveguides
Sharping, J. E., Lee, K. F., Foster, M. A., Turner, A. C., Schmidt, B. S., Lipson, M. F., Gaeta, A. L., & Kumar, P. (2006) · Optics Express · doi:10.1364/oe.14.012388 · Cited by 375
Silverstone, J. W., Bonneau, D., O’Brien, J. L., & Thompson, M. G. (2016) · IEEE Journal of Selected Topics in Quantum Electronics · doi:10.1109/jstqe.2016.2573218 · Cited by 360
Proposal for Pulsed On-Demand Sources of Photonic Cluster State Strings
Lindner, N. H., & Rudolph, T. (2009) · Physical Review Letters · doi:10.1103/physrevlett.103.113602 · Cited by 355
Self-citationTowards high-speed optical quantum memories
Reim, K. F., Nunn, J., Lorenz, V. O., Sussman, B., Lee, K. C., Langford, N. K., Jaksch, D., & Walmsley, I. A. (2010) · Nature Photonics · doi:10.1038/nphoton.2010.30 · Cited by 351
On-chip detection of non-classical light by scalable integration of single-photon detectors
Najafi, F., Mower, J., Harris, N. C., Bellei, F., Dane, A., Lee, C., Hu, X., Kharel, P., Marsili, F., Assefa, S., et al. (2015) · Nature Communications · doi:10.1038/ncomms6873 · Cited by 330
Tailoring single-photon and multiphoton probabilities of a single-photon on-demand source
Migdall, A. L., Branning, D. A., & Castelletto, S. (2002) · Physical Review A · doi:10.1103/physreva.66.053805 · Cited by 306
Integrated spatial multiplexing of heralded single-photon sources
Collins, M. J., Xiong, C., Rey, I. H., Vo, T. D., He, J., Shahnia, S., Reardon, C., Krauss, T. F., Steel, M. J., Clark, A. S., et al. (2013) · Nature Communications · doi:10.1038/ncomms3582 · Cited by 270
Micrometer-scale integrated silicon source of time-energy entangled photons
Grassani, D., Azzini, S., Liscidini, M., Galli, M., Strain, M. J., Sorel, M., Sipe, J. E., & Bajoni, D. (2015) · Optica · doi:10.1364/optica.2.000088 · Cited by 258
Novel Schemes for Measurement-Based Quantum Computation
Gross, D., & Eisert, J. (2007) · Physical Review Letters · doi:10.1103/physrevlett.98.220503 · Cited by 255
Nickerson, N., Fitzsimons, J. F., & Benjamin, S. C. (2014) · Physical Review X · doi:10.1103/physrevx.4.041041 · Cited by 249
Varnava, M., Browne, D. E., & Rudolph, T. (2008) · Physical Review Letters · doi:10.1103/physrevlett.100.060502 · Cited by 248
Self-citationNickerson, N., Li, Y., & Benjamin, S. C. (2013) · Nature Communications · doi:10.1038/ncomms2773 · Cited by 238
Ultra-low-loss optical delay line on a silicon chip
Lee, H., Chen, T., Li, J., Painter, O. J., & Vahala, K. J. (2012) · Nature Communications · doi:10.1038/ncomms1876 · Cited by 237
Arbitrarily complete bell-state measurement using only linear optical elements
Grice, W. P. (2011) · Physical Review A · doi:10.1103/physreva.84.042331 · Cited by 218
From Three-Photon Greenberger-Horne-Zeilinger States to Ballistic Universal Quantum Computation
Gimeno-Segovia, M., Shadbolt, P., Browne, D. E., & Rudolph, T. (2015) · Physical Review Letters · doi:10.1103/physrevlett.115.020502 · Cited by 217
Self-citationMultimode quantum interference of photons in multiport integrated devices
Peruzzo, A., Laing, A., Politi, A., Rudolph, T., & O'Brien, J. L. (2011) · Nature Communications · doi:10.1038/ncomms1228 · Cited by 212
Self-citationLoss Tolerance in One-Way Quantum Computation via Counterfactual Error Correction
Varnava, M., Browne, D. E., & Rudolph, T. (2006) · Physical Review Letters · doi:10.1103/physrevlett.97.120501 · Cited by 203
Self-citation3/4 -Efficient Bell Measurement with Passive Linear Optics and Unentangled Ancillae
Ewert, F., & van Loock, P. (2014) · Physical Review Letters · doi:10.1103/physrevlett.113.140403 · Cited by 195
Enhanced Fault-Tolerant Quantum Computing in d -Level Systems
Campbell, E. T. (2014) · Physical Review Letters · doi:10.1103/physrevlett.113.230501 · Cited by 191
Material platforms for integrated quantum photonics
Bogdanov, S., Shalaginov, M. Y., Boltasseva, A., & Shalaev, V. M. (2017) · Optical Materials Express · doi:10.1364/ome.7.000111 · Cited by 176
Thresholds for Topological Codes in the Presence of Loss
Stace, T. M., Barrett, S. D., & Doherty, A. C. (2009) · Physical Review Letters · doi:10.1103/physrevlett.102.200501 · Cited by 173
Ultralow-loss, high-density SOI optical waveguide routing for macrochip interconnects
Li, G., Yao, J., Thacker, H. D., Mekis, A., Zheng, X., Shubin, I. N., Luo, Y., Lee, J.-H., Raj, K., Cunningham, J. E., et al. (2012) · Optics Express · doi:10.1364/oe.20.012035 · Cited by 171
Akhlaghi, M. K., Schelew, E., & Young, J. F. (2015) · Nature Communications · doi:10.1038/ncomms9233 · Cited by 166
Fault Tolerant Quantum Computation with Very High Threshold for Loss Errors
Barrett, S. D., & Stace, T. M. (2010) · Physical Review Letters · doi:10.1103/physrevlett.105.200502 · Cited by 165
Complete Characterization of Quantum-Optical Processes
Lobino, M., Korystov, D., Kupchak, C., Figueroa, E. V., Sanders, B. C., & Lvovsky, A. I. (2008) · Science · doi:10.1126/science.1162086 · Cited by 152
Active temporal multiplexing of indistinguishable heralded single photons
Xiong, C., Zhang, X., Liu, Z., Collins, M. J., Mahendra, A., Helt, L. G., Steel, M. J., Choi, D., Chae, C.-J., Leong, P. H. W., et al. (2016) · Nature Communications · doi:10.1038/ncomms10853 · Cited by 143
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Schrauwen, J., Thourhout, D. V., & Baets, R. (2008) · Optics Express · doi:10.1364/oe.16.003738 · Cited by 137
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Suzuki, K., Cong, G., Tanizawa, K., Kim, S.-H., Ikeda, K., Namiki, S., & Kawashima, H. (2015) · Optics Express · doi:10.1364/oe.23.009086 · Cited by 121
Percolation, Renormalization, and Quantum Computing with Nondeterministic Gates
Kieling, K., Rudolph, T., & Eisert, J. (2007) · Physical Review Letters · doi:10.1103/physrevlett.99.130501 · Cited by 121
Self-citationResource Costs for Fault-Tolerant Linear Optical Quantum Computing
Li, Y., Humphreys, P. C., Mendoza, G. J., & Benjamin, S. C. (2015) · Physical Review X · doi:10.1103/physrevx.5.041007 · Cited by 120
Integrated Source of Spectrally Filtered Correlated Photons for Large-Scale Quantum Photonic Systems
Harris, N. C., Grassani, D., Simbula, A., Pant, M., Galli, M., Baehr-Jones, T., Hochberg, M., Englund, D., Bajoni, D., & Galland, C. (2014) · Physical Review X · doi:10.1103/physrevx.4.041047 · Cited by 115
Constructions and Noise Threshold of Hyperbolic Surface Codes
Breuckmann, N. P., & Terhal, B. M. (2016) · IEEE Transactions on Information Theory · doi:10.1109/tit.2016.2555700 · Cited by 114
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 113
Foliated Quantum Error-Correcting Codes
Bolt, A., Duclos-Cianci, G., Poulin, D., & Stace, T. M. (2016) · Physical Review Letters · doi:10.1103/physrevlett.117.070501 · Cited by 108
Chip-based array of near-identical, pure, heralded single-photon sources
Spring, J. B., Mennea, P. L., Metcalf, B. J., Humphreys, P. C., Gates, J. C., Rogers, H. L., Söller, C., Smith, B. J., Kolthammer, W. S., Smith, P. G. R., et al. (2017) · Optica · doi:10.1364/optica.4.000090 · Cited by 105
High-fidelity quantum state evolution in imperfect photonic integrated circuits
Mower, J., Harris, N. C., Steinbrecher, G. R., Lahini, Y., & Englund, D. R. (2015) · Physical Review A · doi:10.1103/physreva.92.032322 · Cited by 99
High-fidelity operation of quantum photonic circuits
Laing, A., Peruzzo, A., Politi, A., Verde, M. R., Halder, M., Ralph, T. C., Thompson, M. G., & O’Brien, J. L. (2010) · Applied Physics Letters · doi:10.1063/1.3497087 · Cited by 92
Efficient generation of single and entangled photons on a silicon photonic integrated chip
Mower, J., & Englund, D. R. (2011) · Physical Review A · doi:10.1103/physreva.84.052326 · Cited by 90
Integrated Source of Spectrally Filtered Correlated Photons for Large-Scale Quantum Photonic Systems
Grassani, D., Simbula, A., Pant, M., Galli, M., Baehr-Jones, T. W., Hochberg, M. J., Bajoni, D., Galland, C., Harris, N. C., & Englund, D. R. (2014) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 85
Percolation thresholds for photonic quantum computing
Pant, M., Towsley, D., Englund, D. R., & Guha, S. (2019) · Nature Communications · doi:10.1038/s41467-019-08948-x · Cited by 83
Waveguide photon-number-resolving detectors for quantum photonic integrated circuits
Sahin, D., Gaggero, A., Zhou, Z., Jahanmirinejad, S., Mattioli, F., Leoni, R., Beetz, J., Lermer, M., Kamp, M., Höfling, S., et al. (2013) · Applied Physics Letters · doi:10.1063/1.4820842 · Cited by 79
Gentry, C. M., Shainline, J. M., Wade, M. T., Stevens, M. J., Dyer, S. D., Zeng, X., Pavanello, F., Gerrits, T., Nam, S. W., Mirin, R. P., et al. (2015) · Optica · doi:10.1364/optica.2.001065 · Cited by 67
Symmetry protection of measurement-based quantum computation in ground states
Else, D. V., Bartlett, S. D., & Doherty, A. C. (2012) · New Journal of Physics · doi:10.1088/1367-2630/14/11/113016 · Cited by 63
Zhang, Q., Bao, X., Lu, C., Zhou, X., Yang, T., Rudolph, T., & Pan, J.-W. (2008) · Physical Review A · doi:10.1103/physreva.77.062316 · Cited by 61
Self-citationUltra-Efficient CMOS Fiber-to-Chip Grating Couplers
Notaroš, J., Pavanello, F., Wade, M. T., Gentry, C. M., Atabaki, A. H., Alloatti, L., Ram, R. J., & Popović, M. A. (2016) · Optical Fiber Communication Conference · doi:10.1364/ofc.2016.m2i.5 · Cited by 60
Multilayer 3-D photonics in silicon
Koonath, P., & Jalali, B. (2007) · Optics Express · doi:10.1364/oe.15.012686 · Cited by 58
Electric-field-driven nano-oxidation trimming of silicon microrings and interferometers
Shen, Y., Divliansky, I. B., Basov, D., & Mookherjea, S. (2011) · Optics Letters · doi:10.1364/ol.36.002668 · Cited by 58
Bruck, R., Mills, B., Troia, B., Thomson, D. J., Gardes, F. Y., Hu, Y., Mashanovich, G. Z., Passaro, V. M. N., Reed, G. T., & Muskens, O. L. (2014) · Nature Photonics · doi:10.1038/nphoton.2014.274 · Cited by 56
Perfect set-and-forget alignment of silicon photonic resonators and interferometers
Shen, Y., Divliansky, I. B., Basov, D. N., & Mookherjea, S. (2011) · Optical Fiber Communication Conference · doi:10.1364/ofc.2011.pdpc3 · Cited by 48
Bachman, D., Chen, Z., Fedosejevs, R., Tsui, Y. Y., & Van, V. (2013) · Optics Express · doi:10.1364/oe.21.011048 · Cited by 46
Relative multiplexing for minimising switching in linear-optical quantum computing
Gimeno-Segovia, M., Cable, H. V., Mendoza, G. J., Shadbolt, P., Silverstone, J. W., Carolan, J., Thompson, M. G., O’Brien, J. L., & Rudolph, T. (2017) · New Journal of Physics · doi:10.1088/1367-2630/aa7095 · Cited by 43
Self-citation50×50 Digital Silicon Photonic Switches with MEMS-Actuated Adiabatic Couplers
Seok, T. J., Quack, N., Han, S., & Wu, M. C. (2015) · Optical Fiber Communication Conference · doi:10.1364/ofc.2015.m2b.4 · Cited by 40
Error models for mode mismatch in linear optics quantum computing
Rohde, P. P., & Ralph, T. C. (2006) · Physical Review A · doi:10.1103/physreva.73.062312 · Cited by 38
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Tillmann, M., Schmidt, C., & Walther, P. J. (2016) · Journal of Optics · doi:10.1088/2040-8978/18/11/114002 · Cited by 31
Quantum error correction of systematic errors using a quantum search framework
Reichardt, B. W., & Grover, L. K. (2005) · Physical Review A · doi:10.1103/physreva.72.042326 · Cited by 30
All-optical switching of photonic entanglement
Hall, M., Altepeter, J. B., & Kumar, P. (2011) · New Journal of Physics · doi:10.1088/1367-2630/13/10/105004 · Cited by 29
Tomography of a multimode quantum black box
Fedorov, I. A., Fedorov, A. K., Kurochkin, Y., & Lvovsky, A. I. (2015) · New Journal of Physics · doi:10.1088/1367-2630/17/4/043063 · Cited by 25
Zaidi, H., Dawson, C., van Loock, P., & Rudolph, T. (2015) · Physical Review A · doi:10.1103/physreva.91.042301 · Cited by 25
Self-citationLoss tolerant linear optical quantum memory by measurement-based quantum computing
Varnava, M., Browne, D. E., & Rudolph, T. (2007) · New Journal of Physics · doi:10.1088/1367-2630/9/6/203 · Cited by 25
Self-citationTransitions in the computational power of thermal states for measurement-based quantum computation
Barrett, S. D., Bartlett, S. D., Doherty, A. C., Jennings, D. H., & Rudolph, T. (2009) · Physical Review A · doi:10.1103/physreva.80.062328 · Cited by 22
Self-citationOn-Demand Single Photon Emission based on Quantum Feedback Control of a Microcavity
Heuck, M., Pant, M., & Englund, D. (2016) · Conference on Lasers and Electro-Optics · doi:10.1364/cleo_qels.2016.ftu4c.7 · Cited by 1
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- 2010, Optical Quantum Information Processing
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An optical neural chip for implementing complex-valued neural network
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Photonic quantum information processing: a concise review
Slussarenko, S., & Pryde, G. J. (2019) · Applied Physics Reviews · doi:10.1063/1.5115814 · Cited by 644
“320 In summary, in the span of less than two decades, photonic quantum information science has matured immensely.”
Background
Metadata
- Authors
- Rudolph, T.
- Affiliations
- Imperial College London (GB)
- Corresponding author
- Rudolph, Terry
- ORCID
- Rudolph, Terry
- Venue
- APL Photonics
- Publisher
- AIP Publishing
- Published
- 2017-03-01
- Volume
- 2
- Issue
- 3
- ISSN
- 2378-0967 (ISSN-L)
- OpenAlex
- W2502799522
- Cited by
- 350
- References
- 85
- Citations by year
- 2026: 20 · 2025: 29 · 2024: 44 · 2023: 50 · 2022: 42 · 2021: 42 · 2020: 43 · 2019: 40 · 2018: 30 · 2017: 9
- FWCI
- 19.90
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- APL Photonics (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- arXiv (Cornell University)
- Funders
- Engineering and Physical Sciences Research Council (EP/L024020/1)
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Photonic and Optical Devices
- Keywords
- silicon photonics, quantum computing, cluster states, three-photon entanglement, entangled photon sources, heralded single-photon source, silicon waveguides, interferometer, universal quantum computation, integrated photonics
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