The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Superconducting Circuits for Quantum Information: An Outlook
Abstract
The performance of superconducting qubits has improved by several orders of magnitude in the past decade. These circuits benefit from the robustness of superconductivity and the Josephson effect, and at present they have not encountered any hard physical limits. However, building an error-corrected information processor with many such qubits will require solving specific architecture problems that constitute a new field of research. For the first time, physicists will have to master quantum error correction to design and operate complex active systems that are dissipative in nature, yet remain coherent indefinitely. We offer a view on some directions for the field and speculate on its future.
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Cites
Quantum Computation and Quantum Information
Nielsen, M. A., Chuang, I., & Grover, L. K. (2002) · American Journal of Physics · doi:10.1119/1.1463744 · Cited by 21,895
Kimble, H. J. (2008) · Nature · doi:10.1038/nature07127 · Cited by 6,023
Scheme for reducing decoherence in quantum computer memory
Shor, P. W. (1995) · Physical Review A · doi:10.1103/physreva.52.r2493 · Cited by 4,479
Strong coupling of a single photon to a superconducting qubit using circuit quantum electrodynamics
Wallraff, A., Schuster, D. I., Blais, A., Frunzio, L., Huang, R. S., Majer, J., Kumar, S., Girvin, S. M., & Schoelkopf, R. J. (2004) · Nature · doi:10.1038/nature02851 · Cited by 3,796
Self-citationCharge-insensitive qubit design derived from the Cooper pair box
Koch, J., Yu, T. M., Gambetta, J., Houck, A. A., Schuster, D. I., Majer, J., Blais, A., Devoret, M. H., Girvin, S. M., & Schoelkopf, R. J. (2007) · Physical Review A · doi:10.1103/physreva.76.042319 · Cited by 3,351
Self-citationLloyd, S. (1996) · Science · doi:10.1126/science.273.5278.1073 · Cited by 3,088
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
Coherent control of macroscopic quantum states in a single-Cooper-pair box
Nakamura, Y., Pashkin, Y. A., & Tsai, J. S. (1999) · Nature · doi:10.1038/19718 · Cited by 2,380
Clarke, J., & Wilhelm, F. K. (2008) · Nature · doi:10.1038/nature07128 · Cited by 2,076
Haroche, S., & Raimond, J.-M. (2006) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198509141.001.0001 · Cited by 1,702
Cited by
Quantum supremacy using a programmable superconducting processor
Arute, F., Arya, K., Babbush, R., Bacon, D., Bardin, J. C., Barends, R., Biswas, R., Boixo, S., Brandao, F. G. S. L., Buell, D. A., et al. (2019) · Nature · doi:10.1038/s41586-019-1666-5 · Cited by 7,720
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
Quantum Chemistry in the Age of Quantum Computing
Cao, Y., Romero, J., Olson, J. P., Degroote, M., Johnson, P. D., Kieferová, M., Kivlichan, I. D., Menke, T., Peropadre, B., Sawaya, N. P. D., et al. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00803 · Cited by 1,560
Superconducting Qubits: Current State of Play
Kjaergaard, M., Schwartz, M. E., Braumüller, J., Krantz, P., Wang, J. I.-J., Gustavsson, S., & Oliver, W. D. (2020) · Annual Review of Condensed Matter Physics · doi:10.1146/annurev-conmatphys-031119-050605 · Cited by 1,544
Quantum convolutional neural networks
Cong, I., Choi, S., & Lukin, M. D. (2019) · Nature Physics · doi:10.1038/s41567-019-0648-8 · Cited by 1,517
Metadata
- Authors
- Devoret, M. H., & Schoelkopf, R. J.
- Venue
- Science
- Published
- 2013-03-08
- Volume
- 339
- Issue
- 6124
- Pages
- 1169-1174
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2066500891
- Cited by
- 2,114
- References
- 67
- FWCI
- 157.55
- Type
- journal article
- Language
- en
- Open access
- closed
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