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We propose an estimation method for quantum measurement tomography (QMT) based on semidefinite programming (SDP), and discuss how it may be employed to detect experimental imperfections, such as shot noise and/or faulty preparation of the input states on near-term quantum computers.
P. Busch and P. J. Lahti, The determination of the past and the future of a physical system in quantum mechanics, Found. Phys. 19
1989
Earlier work this paper cites.
A. Luis and L. L. Sánchez-Soto, Complete characterization of arbitrary quantum measurement processes, Phys. Rev. Lett. 83
1999
Earlier work this paper cites.
J. Fiurášek, Maximum-likelihood estimation of quantum measurement, Phys. Rev. A 64
2001
Earlier work this paper cites.
S. Boyd and L. Vandenberghe, Convex Optimization (Cambridge University Press, 2004)
2004
Earlier work this paper cites.
G. M. D’Ariano, L. Maccone, and P. Lo Presti, Quantum calibration of measurement instrumentation, Phys. Rev. Lett. 93
2004
Earlier work this paper cites.
Z. Hradil, J. Řeháček, J. Fiurášek, and M. Ježek, 3 maximum-likelihood methods in quantum mechanics, in Quantum state estimation (Springer, 2004) pp. 59–112
2004
Earlier work this paper cites.
R. Kosut, I. A. Walmsley, and H. Rabitz, Optimal experiment design for quantum state and process tomography and hamiltonian parameter estimation, preprint arXiv:quant-ph/0411093 (2004)
2004
Earlier work this paper cites.
L. M. Artiles, R. D. Gill, and M. I. Guti, An invitation to quantum tomography, J. R. Statist. Soc. B 67
2005
Earlier work this paper cites.
S. T. Flammia, A. Silberfarb, and C. M. Caves, Minimal informationally complete measurements for pure states, Found. Phys. 35
2005
Earlier work this paper cites.
H. B. Coldenstrodt-Ronge, J. S. Lundeen, K. L. Pregnell, A. Feito, B. J. Smith, W. Mauerer, C. Silberhorn, J. Eisert, M. B. Plenio, and I. A. Walmsley, A proposed testbed for detector tomography, J. Mod. Opt. 56
2009
Earlier work this paper cites.
J. S. Lundeen, A. Feito, H. Coldenstrodt-Ronge, K. L. Pregnell, C. Silberhorn, T. C. Ralph, J. Eisert, M. B. Plenio, and I. A. Walmsley, Tomography of quantum detectors, Nature Physics 5
2009
Earlier work this paper cites.
A. Feito, J. S. Lundeen, H. Coldenstrodt-Ronge, J. Eisert, M. B. Plenio, and I. A. Walmsley, Measuring measurement: Theory and practice, New. J. Phys. 11
2009
Earlier work this paper cites.
M. Ozols, How to generate a random unitary matrix (2009)
2009
Earlier work this paper cites.
M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information: 10th Anniversary Edition (Cambridge University Press, 2010)
2010
Earlier work this paper cites.
T. O. Maciel, A. T. Cesário, and R. O. Vianna, Variational quantum tomography with incomplete information by means of semidefinite programs, Int. J. Mod. Phys. C 22
2011
Earlier work this paper cites.
D. Mogilevtsev, J. Řeháček, and Z. Hradil, Self-calibration for self-consistent tomography, New. J. Phys. 14
2012
Earlier work this paper cites.
H. Wolkowicz, R. Saigal, and L. Vandenberghe, Handbook of semidefinite programming: theory, algorithms, and applications (Springer New York, 2012)
2012
Earlier work this paper cites.
J. Johansson, P. Nation, and F. Nori, Qutip: An open-source python framework for the dynamics of open quantum systems, Comp. Phys. Commun. 183
2012
Earlier work this paper cites.
J. A. Smolin, J. M. Gambetta, and G. Smith, Efficient method for computing the maximum-likelihood quantum state from measurements with additive gaussian noise, Phys. Rev. Lett. 108
2012
Earlier work this paper cites.
D. Mogilevtsev, A. Ignatenko, A. Maloshtan, B. Stoklasa, J. Řeháček, and Z. Hradil, Data pattern tomography: reconstruction with an unknown apparatus, New. J. Phys. 15
2013
Earlier work this paper cites.
S. T. Merkel, J. M. Gambetta, J. A. Smolin, S. Poletto, A. D. Córcoles, B. R. Johnson, C. A. Ryan, and M. Steffen, Self-consistent quantum process tomography, Phys. Rev. A 87
2013
Cited alongside, same era.
2013
Cited alongside, same era.
D. S. Gonçalves, C. Lavor, M. A. Gomes-Ruggiero, A. T. Cesário, R. O. Vianna, and T. O. Maciel, Quantum state tomography with incomplete data: Maximum entropy and variational quantum tomography, Phys. Rev. A 87
2013
Cited alongside, same era.
C. Stark, Self-consistent tomography of the state-measurement gram matrix, Phys. Rev. A 89
2014
Cited alongside, same era.
C. Jackson and S. J. van Enk, Detecting correlated errors in state-preparation-and-measurement tomography, Phys. Rev. A 92
Y. Kim, Y. S. Teo, D. Ahn, D.-G. Im, Y.-W. Cho, G. Leuchs, L. L. Sánchez-Soto, H. Jeong, and Y.-H. Kim, Universal compressive characterization of quantum dynamics, Phys. Rev. Lett. 124
2020
Later among the works it cites.
F. B. Maciejewski, F. Baccari, Z. Zimborás, and M. Oszmaniec, Modeling and mitigation of cross-talk effects in readout noise with applications to the quantum approximate optimization algorithm, Quantum 5
2021
Later among the works it cites.
S. Bravyi, S. Sheldon, A. Kandala, D. C. Mckay, and J. M. Gambetta, Mitigating measurement errors in multiqubit experiments, Phys. Rev. A 103
2021
Later among the works it cites.
P. D. Nation, H. Kang, N. Sundaresan, and J. M. Gambetta, Scalable mitigation of measurement errors on quantum computers, PRX Quantum 2
2021
Later among the works it cites.
M. L. Dahlhauser and T. S. Humble, Modeling noisy quantum circuits using experimental characterization, Phys. Rev. A 103
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2015
Cited alongside, same era.
S. Diamond and S. Boyd, CVXPY: A Python-embedded modeling language for convex optimization, J. Mach. Learn. Res. 17
2016
Cited alongside, same era.
J. J. Wallman and J. Emerson, Noise tailoring for scalable quantum computation via randomized compiling, Phys. Rev. A 94
2016
Cited alongside, same era.
A. F. McCormick, S. J. van Enk, and M. Beck, Experimental demonstration of loop state-preparation-and-measurement tomography, Phys. Rev. A 95
2017
Cited alongside, same era.
L. Motka, M. Paúr, J. Řeháček, Z. Hradil, and L. L. Sánchez-Soto, Efficient tomography with unknown detectors, Quantum Sci. Technol. 2
2017
Cited alongside, same era.
2018
Cited alongside, same era.
J. Watrous, The Theory of Quantum Information (Cambridge University Press, 2018)
2018
Cited alongside, same era.
A. Agrawal, R. Verschueren, S. Diamond, and S. Boyd, A rewriting system for convex optimization problems, J. Control. Decis. 5
2018
Cited alongside, same era.
2021
Later among the works it cites.
G. García-Pérez, M. A. C. Rossi, B. Sokolov, F. Tacchino, P. K. Barkoutsos, G. Mazzola, I. Tavernelli, and S. Maniscalco, Learning to measure: Adaptive informationally complete generalized measurements for quantum algorithms, PRX Quantum 2
2021
Later among the works it cites.
H.-Y. Huang, R. Kueng, and J. Preskill, Efficient estimation of pauli observables by derandomization, Phys. Rev. Lett. 127
2021
Later among the works it cites.
A. Stephens, J. M. Cutshall, T. McPhee, and M. Beck, Self-consistent state and measurement tomography with fewer measurements, Phys. Rev. A 104
2021
Later among the works it cites.
J. Lin, J. J. Wallman, I. Hincks, and R. Laflamme, Independent state and measurement characterization for quantum computers, Phys. Rev. Research 3
2021
Later among the works it cites.
2021
Later among the works it cites.
E. Nielsen, J. K. Gamble, K. Rudinger, T. Scholten, K. Young, and R. Blume-Kohout, Gate set tomography, Quantum 5
2021
Later among the works it cites.
Y. Wang, S. Yokoyama, D. Dong, I. R. Petersen, E. H. Huntington, and H. Yonezawa, Two-stage estimation for quantum detector tomography: Error analysis, numerical and experimental results, IEEE Trans. Inf. Theory 67
2021
Later among the works it cites.
S. Xiao, Y. Wang, D. Dong, and J. Zhang, Optimal quantum detector tomography via linear regression estimation, in Proceedings of the 60th IEEE Conference on Decision and Control (2021) pp. 4140–4145
2021
Later among the works it cites.
Y. S. Teo and L. L. Sánchez-Soto, Modern compressive tomography for quantum information science, Int. J. Quantum Info. 19
2021
Later among the works it cites.
L. Funcke, T. Hartung, K. Jansen, S. Kühn, P. Stornati, and X. Wang, Measurement error mitigation in quantum computers through classical bit-flip correction, Phys. Rev. A 105
2022
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2022
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C. Hadfield, S. Bravyi, R. Raymond, and A. Mezzacapo, Measurements of quantum hamiltonians with locally-biased classical shadows, Commun. Math. Phys. 391
2022
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H. Landa, D. Meirom, N. Kanazawa, M. Fitzpatrick, and C. J. Wood, Experimental bayesian estimation of quantum state preparation, measurement, and gate errors in multiqubit devices, Phys. Rev. Research 4
2022
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P. Skrzypczyk and D. Cavalcanti, Semidefinite Programming in Quantum Information Science (IOP Publishing, 2023)
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