Simulation of adiabatic quantum computing for molecular ground states
Vladimir Kremenetski, Carlos Mejuto-Zaera, Stephen J. Cotton, Norm M., Tubman

TL;DR
This paper introduces a novel classical simulation method for adiabatic quantum state preparation in molecular systems, demonstrating potential speedups and analyzing factors affecting the efficiency of quantum ASP.
Contribution
It presents an adaptive sampling CI approach for simulating ASP with high accuracy and modest resources, and explores strategies to accelerate ASP on quantum hardware.
Findings
Classical simulation of ASP is feasible with negligible error using ASCI.
Starting with a CASCI wavefunction can significantly speed up ASP.
Non-linear interpolation between Hamiltonians does not improve ASP speed.
Abstract
Quantum computation promises to provide substantial speedups in many practical applications with a particularly exciting one being the simulation of quantum many-body systems. Adiabatic state preparation (ASP) is one way that quantum computers could recreate and simulate the ground state of a physical system. In this paper we explore a novel approach for classically simulating the time dynamics of ASP with high accuracy, and with only modest computational resources via an adaptive sampling configuration interaction (ASCI) scheme for truncating the Hilbert space to only the most important determinants. We verify that this truncation introduces negligible error, and use this new approach to simulate ASP for sets of small molecular systems and Hubbard models. Further, we examine two approaches to speeding up ASP when performed on quantum hardware: (i) using the complete active space…
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