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Bogoliubov-Born-Green-Kirkwood-Yvon hierarchy for quantum error mitigation
Theo Saporiti, Oleg Kaikov, Vasily Sazonov, Mohamed Tamaazousti

Bogoliubov-Born-Green-Kirkwood-Yvon hierarchy for quantum error mitigation

Science & Mathematics Published 2025 Verification Pending

Overview & Synopsis

Mitigation of quantum errors is critical for current NISQ devices. In the present work, we address this task by treating the execution of quantum algorithms as the time evolution of an idealized physical system. We use knowledge of its physics to assist the mitigation of the quantum noise produced on the real device. In particular, the time evolution of the idealized system obeys a corresponding Bogoliubov-Born-Green-Kirkwood-Yvon (BBGKY) hierarchy of equations. This is the basis for the novel error mitigation scheme that we propose. Specifically, we employ a subset of the BBGKY hierarchy as supplementary constraints in the zero-noise extrapolation (ZNE) method for error mitigation. We ensure that the computational cost of the scheme scales polynomially with the system size. We test our method on digital quantum simulations of the lattice Schwinger model under noise levels mimicking realistic quantum hardware. We demonstrate that our scheme systematically improves the error mitigation for the measurements of the particle number and the charge within this system. Relative to ZNE, we obtain an average reduction of the error by (18.2 ± 0.5)% and (52.8 ± 6.3)% for the respective above observables. We propose further applications of the BBGKY hierarchy for quantum error mitigation.

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Document Information

Document Title Bogoliubov-Born-Green-Kirkwood-Yvon hierarchy for quantum error mitigation
Author / Organization Theo Saporiti, Oleg Kaikov, Vasily Sazonov, Mohamed Tamaazousti
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2025
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-166728
Original Source Link Visit Source Page on hal.science »