Bulletin of the American Physical Society
APS March Meeting 2024
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session BB03: V: Quantum Error Correction, Error Mitigtion, and Machine Learning
11:30 AM–1:18 PM,
Monday, March 4, 2024
Room: Virtual Room 03
Sponsoring
Units:
DQI GDS
Chair: Amin Hosseinkhani, IQM Quantum Computers; Benjamin Lienhard, Princeton University
Abstract: BB03.00005 : Noise-Robust Error Mitigation*
12:18 PM–12:30 PM
Presenter:
Amin Hosseinkhani
(IQM Quantum Computers)
Authors:
Amin Hosseinkhani
(IQM Quantum Computers)
Alessio Calzona
(IQM Quantum Computers)
Tianhan Liu
(IQM Quantum Computers)
Adrian Auer
(IQM Quantum Computers)
Inés de Vega
(IQM Quantum Computers)
In this study, we introduce a novel noise-agnostic and learning-based error mitigation technique. We introduce a certain cost function that guides us towards mitigating the effects of the noise prior to fitting the noisy data. This, in turn, is expected to reduce the bias error. Our findings demonstrate the efficacy of this technique through a series of case studies, showcasing its ability to nearly eliminate the impact of noise on the expectation value while maintaining a manageable sampling overhead.
*We would like to acknowledge the support from the German Federal Ministry of Education and Research (BMBF) under QSolid (grant No. 13N16161).
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