The DOI matches its Crossref record; 295 of the 295 references it cites were found in a registry or an index.
Quantum computers
Open accessAbstract
Over the past several decades, quantum information science has emerged to seek answers to the question: can we gain some advantage by storing, transmitting and processing information encoded in systems that exhibit unique quantum properties? Today it is understood that the answer is yes, and many research groups around the world are working towards the highly ambitious technological goal of building a quantum computer, which would dramatically improve computational power for particular tasks. A number of physical systems, spanning much of modern physics, are being developed for quantum computation. However, it remains unclear which technology, if any, will ultimately prove successful. Here we describe the latest developments for each of the leading approaches and explain the major challenges for the future.
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“We should point out here that the results presented here give faster gates than any results for the maximum speed of Toffoli gates in the literature [2,3].”
From Speed limits for quantum gates in multiqubit systems (2012) · cites this paper as [2]
In the citing paper
“Photons naturally fit this quantum revolution [5] as an effective system to process information: they propagate fast, do not interact with the environment and can be easily manipulated.”
From Photonic quantum information processing: a review (2019) · cites this paper as [5]
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Citations
Cites
Quantum computation and quantum information
Law, J. (2001) · ACM SIGSOFT Software Engineering Notes · doi:10.1145/505482.505499 · Cited by 20,450
An algorithm for the machine calculation of complex Fourier series
Cooley, J. W., & Tukey, J. W. (1965) · Mathematics of Computation · doi:10.1090/s0025-5718-1965-0178586-1 · Cited by 13,154
Algorithms for quantum computation: discrete logarithms and factoring
Shor, P. W. (2002) · Proceedings 35th Annual Symposium on Foundations of Computer Science · doi:10.1109/sfcs.1994.365700 · Cited by 8,713
Non-Abelian anyons and topological quantum computation
Nayak, C., Simon, S. H., Stern, A., Freedman, M., & Das Sarma, S. (2008) · Reviews of Modern Physics · doi:10.1103/revmodphys.80.1083 · Cited by 6,861
Quantum computation with quantum dots
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Effects of Diffusion on Free Precession in Nuclear Magnetic Resonance Experiments
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Resonance Absorption by Nuclear Magnetic Moments in a Solid
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Modified Spin-Echo Method for Measuring Nuclear Relaxation Times
Meiboom, S., & Gill, D. (1958) · Review of Scientific Instruments · doi:10.1063/1.1716296 · Cited by 6,001
Quantum phase transition from a superfluid to a Mott insulator in a gas of ultracold atoms
Greiner, M., Mandel, O., Esslinger, T., Hänsch, T. W., & Bloch, I. (2002) · Nature · doi:10.1038/415039a · Cited by 5,935
A scheme for efficient quantum computation with linear optics
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Self-citation
Research works printed but not linked: 1
- Tyryshkin, A. M. & Lyon, S. A. Data presented at the Silicon Qubit Workshop, 24–25 August (University of California, Berkeley; sponsored by Lawrence Berkeley National Laboratory and Sandia National Laboratory, 2009)
Cited by
Sorted by citations
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
Georgescu, I. M., Ashhab, S., & Nori, F. (2014) · Reviews of Modern Physics · doi:10.1103/revmodphys.86.153 · Cited by 2,932
Probing many-body dynamics on a 51-atom quantum simulator
Bernien, H., Schwartz, S., Keesling, A., Levine, H., Omran, A., Pichler, H., Choi, S., Zibrov, A. S., Endres, M., Greiner, M., et al. (2017) · Nature · doi:10.1038/nature24622 · Cited by 2,460
A quantum engineer's guide to superconducting qubits
Krantz, P., Kjærgaard, M., Yan, F., Orlando, T. P., Gustavsson, S., & Oliver, W. D. (2019) · Applied Physics Reviews · doi:10.1063/1.5089550 · Cited by 2,321
Quantum computational chemistry
McArdle, S., Endo, S., Aspuru-Guzik, A., Benjamin, S. C., & Yuan, X. (2020) · Reviews of Modern Physics · doi:10.1103/revmodphys.92.015003 · Cited by 1,621
Metadata
- Authors
- Ladd, T. D., Jelezko, F., Laflamme, R., Nakamura, Y., Monroe, C., & O’Brien, J. L.
- Affiliations
- Stanford University (US)
- University of Stuttgart (DE)
- University of Waterloo (CA)
- NEC (Japan) (JP)
- National Institute of Standards and Technology (US)
- University of Bristol (GB)
- Corresponding author
- O’Brien, J. L.
- Venue
- Nature
- Published
- 2010-03
- Volume
- 464
- Issue
- 7285
- Pages
- 45-53
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3037853801
- Cited by
- 3,592
- References
- 286
- Citations by year
- 2026: 170 · 2025: 278 · 2024: 344 · 2023: 263 · 2022: 243 · 2021: 263 · 2020: 234 · 2019: 230 · 2018: 187 · 2017: 214 · 2016: 224 · 2015: 190 · 2014: 210 · 2013: 195 · 2012: 156
- FWCI
- 178.74
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- arXiv (Cornell University) (publishedVersion)
- PubMed (publishedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Engineering and Physical Sciences Research Council (EP/F010524/1, EP/F008023/1)
- 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 › Condensed Matter Physics › Quantum and electron transport phenomena
- Keywords
- quantum computing hardware, qubits, quantum information processing, quantum memory, quantum communication
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