TY - JOUR
T1 - Toward reliability in the NISQ era
T2 - Robust interval guarantee for quantum measurements on approximate states
AU - Weber, Maurice
AU - Anand, Abhinav
AU - Cervera-Lierta, Alba
AU - Kottmann, Jakob S.
AU - Kyaw, Thi Ha
AU - Li, Bo
AU - Aspuru-Guzik, Alán
AU - Zhang, Ce
AU - Zhao, Zhikuan
N1 - The authors are grateful to Joseph Fitzsimons (Horizon Quantum Computing) and Nana Liu (Shanghai Jiao Tong University) for inspiring discussions on the topic of robustness of NISQ algorithms. A.A.-G. acknowledges the generous support from Google, Inc., in the form of a Google Focused Award. This work is partly supported by the U.S. Department of Energy under Award No. DESC0019374 and the U.S. Office of Naval Research (Grant No. ONS506661). A.A.-G. also acknowledges support from the Canada Industrial Research Chairs Program and the Canada 150 Research Chairs Program. A.A.-G. acknowledges generous support from Anders G. Fr\u00F6seth and Sony Research. C.Z. and the DS3Lab gratefully acknowledge the support from the Swiss National Science Foundation (Projects No. 200021_184628 and No. 197485), Innosuisse/SNF BRIDGE Discovery (Project No. 40B2-0_187132), European Union Horizon 2020 Research and Innovation Programme (DAPHNE, Grant No. 957407), Botnar Research Centre for Child Health, Swiss Data Science Center, Alibaba, Cisco, eBay, Google Focused Research Awards, Kuaishou, Inc., Oracle Labs, Zurich Insurance, and the Department of Computer Science at ETH Zurich.
PY - 2022/7
Y1 - 2022/7
N2 - Near-term quantum computation holds potential across multiple application domains. However, imperfect preparation and evolution of states due to algorithmic and experimental shortcomings, characteristic in the near-term implementation, would typically result in measurement outcomes deviating from the ideal setting. It is thus crucial for any near-term application to quantify and bound these output errors. We address this need by deriving robustness intervals which are guaranteed to contain the output in the ideal setting. The first type of interval is based on formulating robustness bounds as semidefinite programs, and uses only the first moment and the fidelity to the ideal state. Furthermore, we consider higher statistical moments of the observable and generalize bounds for pure states based on the non-negativity of Gram matrices to mixed states, thus enabling their applicability in the NISQ era where noisy scenarios are prevalent. Finally, we demonstrate our results in the context of the variational quantum eigensolver (VQE) on noisy and noiseless simulations.
AB - Near-term quantum computation holds potential across multiple application domains. However, imperfect preparation and evolution of states due to algorithmic and experimental shortcomings, characteristic in the near-term implementation, would typically result in measurement outcomes deviating from the ideal setting. It is thus crucial for any near-term application to quantify and bound these output errors. We address this need by deriving robustness intervals which are guaranteed to contain the output in the ideal setting. The first type of interval is based on formulating robustness bounds as semidefinite programs, and uses only the first moment and the fidelity to the ideal state. Furthermore, we consider higher statistical moments of the observable and generalize bounds for pure states based on the non-negativity of Gram matrices to mixed states, thus enabling their applicability in the NISQ era where noisy scenarios are prevalent. Finally, we demonstrate our results in the context of the variational quantum eigensolver (VQE) on noisy and noiseless simulations.
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U2 - 10.1103/PhysRevResearch.4.033217
DO - 10.1103/PhysRevResearch.4.033217
M3 - Article
AN - SCOPUS:85138853860
SN - 2643-1564
VL - 4
JO - Physical Review Research
JF - Physical Review Research
IS - 3
M1 - 033217
ER -