Investigating Device and Trotter Error Resilience of Quantum Zeno Monte Carlo with Large-Scale NISQ Simulation
ORAL
Abstract
In this work, we investigate the device and Trotter error resilience of the Quantum Zeno Monte Carlo (QZMC) method, applying it to large-scale NISQ (Noisy Intermediate-Scale Quantum) simulations. QZMC, a classical-quantum hybrid algorithm, demonstrates significant robustness against both device noise and Trotter errors, making it well-suited for both the current NISQ era and the rapidly developing early fault-tolerant quantum computing era. We establish the method’s resilience through both mathematical analysis and numerical experiments. Finally, we apply QZMC to large-scale NISQ simulations, showcasing its ability to compute Hamiltonian eigenstate properties with reduced quantum circuit depth and high accuracy, even in the presence of the device noise and trotter errors. These results highlight QZMC’s potential as a powerful tool for advancing quantum simulations on near-term quantum devices.
*This research was supported by Quantum Simulator Development Project for Materials Innovation through the National Research Foundation of Korea (NRF) funded by the Korean government (Ministry of Science and ICT(MSIT))(No. NRF-2023M3K5A1094813). SC and MH were supported by KIAS Individual Grants (CG090601, CG091301) at the Korea Institute for Advanced Study. We acknowledge the use of IBM Quantum services for this work and to advanced services provided by the IBM Quantum Researchers Program. And we also used resources of the Center for Advanced Computation at Korea Institute for Advanced Study and the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231.
