The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Efficient Method for Computing the Maximum-Likelihood Quantum State from Measurements with Additive Gaussian Noise
Open accessAbstract
We provide an efficient method for computing the maximum-likelihood mixed quantum state (with density matrix ρ) given a set of measurement outcomes in a complete orthonormal operator basis subject to Gaussian noise. Our method works by first changing basis yielding a candidate density matrix μ which may have nonphysical (negative) eigenvalues, and then finding the nearest physical state under the 2-norm. Our algorithm takes at worst O(d(4)) for the basis change plus O(d(3)) for finding ρ where d is the dimension of the quantum state. In the special case where the measurement basis is strings of Pauli operators, the basis change takes only O(d(3)) as well. The workhorse of the algorithm is a new linear-time method for finding the closest probability distribution (in Euclidean distance) to a set of real numbers summing to one.
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Cites
Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
Sturm, J. F. (1999) · Optimization Methods and Software · doi:10.1080/10556789908805766 · Cited by 7,377
Anderson, E., Bai, Z., Bischof, C., Blackford, L. S., Demmel, J., Dongarra, J., Du Croz, J., Greenbaum, A., Hammarling, S., McKenney, A., et al. (1999) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9780898719604 · Cited by 4,435
Completely positive linear maps on complex matrices
Choi, M.-D. (1975) · Linear Algebra and its Applications · doi:10.1016/0024-3795(75)90075-0 · Cited by 2,659 · cited 1×
“Due to the Choi-Jamiolkowski isomorphism [12, 13] such a map can be represented by a density matrix.”
MethodGaussian elimination is not optimal
Strassen, V. (1969) · Numerische Mathematik · doi:10.1007/bf02165411 · Cited by 2,509
Matrix multiplication via arithmetic progressions
Coppersmith, D., & Winograd, S. (1990) · Journal of Symbolic Computation · doi:10.1016/s0747-7171(08)80013-2 · Cited by 2,248
James, D. F. V., Kwiat, P. G., Munro, W. J., & White, A. G. (2001) · Physical Review A · doi:10.1103/physreva.64.052312 · Cited by 2,176
Linear transformations which preserve trace and positive semidefiniteness of operators
Jamiołkowski, A. (1972) · Reports on Mathematical Physics · doi:10.1016/0034-4877(72)90011-0 · Cited by 1,512
Scalable multiparticle entanglement of trapped ions
Häffner, H., Hänsel, W., Roos, C. F., Benhelm, J., Chek-al-kar, D., Chwalla, M., Körber, T., Rapol, U. D., Riebe, M., Schmidt, P. O., et al. (2005) · Nature · doi:10.1038/nature04279 · Cited by 1,253
Quantum State Tomography via Compressed Sensing
Gross, D., Liu, Y.-K., Flammia, S. T., Becker, S., & Eisert, J. (2010) · Physical Review Letters · doi:10.1103/physrevlett.105.150401 · Cited by 1,093
Prescription for experimental determination of the dynamics of a quantum black box
Chuang, I. L., & Nielsen, M. A. (1997) · Journal of Modern Optics · doi:10.1080/09500349708231894 · Cited by 949
Cited by
Supervised learning with quantum-enhanced feature spaces
Havlíček, V., Córcoles, A. D., Temme, K., Harrow, A. W., Kandala, A., Chow, J. M., & Gambetta, J. M. (2019) · Nature · doi:10.1038/s41586-019-0980-2 · Cited by 2,572
Self-citationCórcoles, A. D., Magesan, E., Srinivasan, S. J., Cross, A. W., Steffen, M., Gambetta, J. M., & Chow, J. M. (2015) · Nature Communications · doi:10.1038/ncomms7979 · Cited by 490
Self-citationScalable Mitigation of Measurement Errors on Quantum Computers
Nation, P. D., Kang, H., Sundaresan, N., & Gambetta, J. M. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.040326 · Cited by 269
Self-citationApplication of fermionic marginal constraints to hybrid quantum algorithms
Rubin, N. C., Babbush, R., & McClean, J. (2018) · New Journal of Physics · doi:10.1088/1367-2630/aab919 · Cited by 152
Quantum synchronization on the IBM Q system
Koppenhöfer, M., Bruder, C., & Roulet, A. (2020) · Physical Review Research · doi:10.1103/physrevresearch.2.023026 · Cited by 81
Metadata
- Authors
- Smolin, J. A., Gambetta, J. M., & Smith, G.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2012-02-17
- Volume
- 108
- Issue
- 7
- Pages
- 070502-070502
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W1623348669
- Cited by
- 276
- References
- 19
- FWCI
- 6.33
- Type
- journal article
- Language
- en
- Open access
- green
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- Smolin, J. A., Gambetta, J. M., & Smith, G. (2012). Efficient Method for Computing the Maximum-Likelihood Quantum State from Measurements with Additive Gaussian Noise. Physical Review Letters. https://doi.org/10.1103/physrevlett.108.070502
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