Implementation of quantum imaginary-time evolution method on NISQ devices: Nonlocal approximation

TL;DR

This paper introduces nonlocal approximation techniques, eLA and NLA, and a circuit compression method to significantly reduce quantum circuit depth, enabling practical implementation of quantum imaginary-time evolution on NISQ devices.

Contribution

It develops nonlocal approximation methods and a compression technique that lower circuit depth, facilitating the use of QITE on noisy intermediate-scale quantum hardware.

Findings

eLA and NLA require fewer circuit depths than local approximation.

The methods maintain accuracy while reducing circuit complexity.

The approach mitigates errors from gate operations on NISQ devices.

Abstract

The imaginary-time evolution method is widely known to be efficient for obtaining the ground state in quantum many-body problems on a classical computer. A recently proposed quantum imaginary-time evolution method (QITE) faces problems of deep circuit depth and difficulty in the implementation on noisy intermediate-scale quantum (NISQ) devices. In this study, a nonlocal approximation is developed to tackle this difficulty. We found that by removing the locality condition or local approximation (LA), which was imposed when the imaginary-time evolution operator is converted to a unitary operator, the quantum circuit depth is significantly reduced. We propose two-step approximation methods based on a nonlocality condition: extended LA (eLA) and nonlocal approximation (NLA). To confirm the validity of eLA and NLA, we apply them to the max-cut problem of an unweighted 3-regular graph and a weighted fully connected graph; we comparatively evaluate the performances of LA, eLA, and NLA. The eLA and NLA methods require far fewer circuit depths than LA to maintain the same level of computational accuracy. Further, we developed a ``compression'' method of the quantum circuit for the imaginary-time steps as a method to further reduce the circuit depth in the QITE method. The eLA, NLA, and the compression method introduced in this study allow us to reduce the circuit depth and the accumulation of error caused by the gate operation significantly and pave the way for implementing the QITE method on NISQ devices.