Experimental demonstration of optimized quantum process tomography on the IBM quantum experience

DOI10.1142/S0219749920400043zbMath1486.81025OpenAlexW3092055190MaRDI QIDQ5037895

Krishna Shende, Akshay Gaikwad, Kavita Dorai

Publication date: 4 March 2022

Published in: International Journal of Quantum Information (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219749920400043

zbMATH Keywords

constrained convex optimizationquantum process tomographyIBM quantum processor

Mathematics Subject Classification ID

Applications of commutative algebra (e.g., to statistics, control theory, optimization, etc.) (13P25) Quantum algorithms and complexity in the theory of computing (68Q12) Quantum gates (81P65) Computational stability and error-correcting codes for quantum computation and communication processing (81P73) Quantum state tomography, quantum state discrimination (81P18) Quantum channels, fidelity (81P47)

Related Items (1)

NMR quantum information processing: Indian contributions and perspectives

Uses Software

• YALMIP
• Robotics

Cites Work

• States, effects, and operations. Fundamental notions of quantum theory. Lectures in mathematical physics at the University of Texas at Austin. Ed. by A. Böhm, J. D. Dollard and W. H. Wootters
• Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones

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