The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Algorithmic cooling and scalable NMR quantum computers
Open accessAbstract
We present here algorithmic cooling (via polarization heat bath)—a powerful method for obtaining a large number of highly polarized spins in liquid nuclear-spin systems at finite temperature. Given that spin-half states represent (quantum) bits, algorithmic cooling cleans dirty bits beyond the Shannon's bound on data compression, by using a set of rapidly thermal-relaxing bits. Such auxiliary bits could be implemented by using spins that rapidly get into thermal equilibrium with the environment, e.g., electron spins. Interestingly, the interaction with the environment, usually a most undesired interaction, is used here to our benefit, allowing a cooling mechanism. Cooling spins to a very low temperature without cooling the environment could lead to a breakthrough in NMR experiments, and our “spin-refrigerating” method suggests that this is possible. The scaling of NMR ensemble computers is currently one of the main obstacles to building larger-scale quantum computing devices, and our spin-refrigerating method suggests that this problem can be resolved.
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Citations
Cites
Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer
Shor, P. W. (1997) · SIAM Journal on Computing · doi:10.1137/s0097539795293172 · Cited by 8,472
Bulk Spin-Resonance Quantum Computation
Gershenfeld, N. A., & Chuang, I. L. (1997) · Science · doi:10.1126/science.275.5298.350 · Cited by 1,528
Ensemble quantum computing by NMR spectroscopy
Cory, D. G., Fahmy, A. F., & Havel, T. F. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.5.1634 · Cited by 964
An algorithmic benchmark for quantum information processing
Knill, E., Laflamme, R., Martinez, R., & Tseng, C.-H. (2000) · Nature · doi:10.1038/35006012 · Cited by 290
Research works printed but not linked: 11
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Cited by
Quantum trajectories and open many-body quantum systems
Daley, A. J. (2014) · Advances in Physics · doi:10.1080/00018732.2014.933502 · Cited by 853
Equivalence of Quantum Heat Machines, and Quantum-Thermodynamic Signatures
Uzdin, R., Levy, A., & Kosloff, R. (2015) · Physical Review X · doi:10.1103/physrevx.5.031044 · Cited by 412
Enhancing quantum control by bootstrapping a quantum processor of 12 qubits
Lu, D., Li, K., Li, J., Katiyar, H., Park, A. J., Feng, G., Xin, T., Li, H., Long, G., Brodutch, A., et al. (2017) · npj Quantum Information · doi:10.1038/s41534-017-0045-z · Cited by 80
“ca gorithmic cooling in ensemble quantum computing [11, 12], magic state preparation in fault-tolerant quantum computing [13] and encoding in quantum key distribution [14], all rely on steering states regardless of the propagator.”
Background
Metadata
- Authors
- Boykin, P. O., Mor, T., Roychowdhury, V., Vatan, F., & Vrijen, R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2002-03-19
- Volume
- 99
- Issue
- 6
- Pages
- 3388-3393
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1993717653
- Cited by
- 195
- References
- 4
- FWCI
- 5.69
- Type
- journal article
- Language
- en
- Open access
- green
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- Boykin, P. O., Mor, T., Roychowdhury, V., Vatan, F., & Vrijen, R. (2002). Algorithmic cooling and scalable NMR quantum computers. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.241641898
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
