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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]
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“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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- 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)
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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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