Quantum Computing for Phonon Scattering Effects on Thermal Conductivity

TL;DR

This paper explores using NISQ quantum computers and error mitigation to simulate phonon scattering effects on thermal conductivity, aiming to overcome classical computational limitations in complex phonon systems.

Contribution

It introduces a quantum simulation framework employing VQE for phonon interactions, including system mapping, customized ansatz, and noise mitigation strategies for thermal conductivity calculations.

Findings

Quantum simulations can model multi-phonon scattering effects.

Error mitigation improves simulation accuracy under noise.

Framework demonstrates potential for NISQ-era thermal conductivity studies.

Abstract

Recent investigations have demonstrated that multi-phonon scattering processes substantially influence the thermal conductivity of materials, posing significant computational challenges for classical simulations as the complexity of phonon modes escalates. This study examines the potential of quantum simulations to address these challenges, utilizing Noisy Intermediate Scale Quantum era (NISQ) quantum computational capabilities and quantum error mitigation techniques to optimize thermal conductivity calculations. Employing the Variational Quantum Eigensolver (VQE) algorithm, we simulate phonon-phonon contributions based on the Boltzmann Transport Equation (BTE). Our methodology involves mapping multi-phonon scattering systems to fermionic spin operators, necessitating the creation of a customized ansatz to balance circuit accuracy and depth. We construct the system within Fock space using bosonic operators and transform the Hamiltonian into the sum of Pauli operators suitable for quantum computation. By addressing the impact of depolarization and non-unitary noise effects, we benchmark the noise influence and implement error mitigation strategies to develop a more efficient model for quantum simulations in the NISQ era.