Unitary imaginary time evolution and ground state preparation using multi-copy protocols

TL;DR

This paper presents deterministic multi-copy quantum protocols that approximate imaginary-time evolution for efficient ground state preparation, combining theoretical analysis and numerical validation with practical implementation insights.

Contribution

Introduction of novel multi-copy unitary protocols for imaginary-time evolution, including two circuit architectures and strategies to enhance convergence and measurement efficiency.

Findings

Polynomial-depth convergence in tree architecture

Comparable accuracy with polynomial width in hedge architecture

Post-selection accelerates convergence in practical scenarios

Abstract

Efficient low-energy state preparation is a key objective in quantum computation and quantum simulation. Quantum imaginary-time evolution replaces real-time dynamics with imaginary-time dynamics, exponentially suppressing higher-energy eigenstates. We introduce deterministic unitary protocols that approximate imaginary-time evolution for ground-state preparation. The protocols require multiple copies of the system, real-time evolution under the system Hamiltonian, and controlled-SWAP operations (or more general SWAP-generated unitaries). We analyze two concrete circuit families: a tree architecture with provable polynomial-in-depth convergence but rapidly growing width, and a compact "hedge" architecture that achieves comparable accuracy with only polynomial width in a heuristic construction supported by numerics. We provide numerical evidence that mid-circuit post-selection can accelerate convergence with practical success probabilities. Separately, we demonstrate that circuit volume can be traded for the shot complexity of post-circuit observable estimation in the ground-state preparation setting. We outline concrete implementation of platform-specific routes, where multi-copy registers and SWAP-mediated couplings are natural, thereby illustrating how these hybrid analog-digital circuits can complement existing state-preparation methods in the near term.