Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
139 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Provably Efficient Quantum Thermal State Preparation via Local Driving (2505.22816v1)

Published 28 May 2025 in quant-ph, cond-mat.other, cond-mat.stat-mech, math-ph, and math.MP

Abstract: Preparing the thermal density matrix $\rho_{\beta}\propto e{-\beta H}$ corresponding to a given Hamiltonian $H$ is a task of central interest across quantum many-body physics, and is particularly salient when attempting to study it with quantum computers. Although solved {in principle} by recent constructions of efficiently simulable Lindblad master equations -- that provably have $\rho_{\beta}$ as a steady state [C.-F. Chen {\it et al}, arXiv:2311.09207] -- their implementation requires large-scale quantum computational resources and is hence challenging {in practice} on current or even near-term quantum devices. Here, we propose a scheme for approximately preparing quantum thermal states that only requires the [repeated] implementation of three readily available ingredients: (a) analog simulation of $H$; (b) strictly local but time-dependent couplings to ancilla qubits; and (c) reset of the ancillas. We give rigorous performance guarantees independent of detailed physical knowledge of $H$ beyond its locality.

Summary

We haven't generated a summary for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com