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Quantum simulations of materials on near-term quantum computers

Chemistry

Quantum simulations of materials on near-term quantum computers

H. Ma, M. Govoni, et al.

Explore groundbreaking research by He Ma, Marco Govoni, and Giulia Galli, who introduce a novel quantum embedding theory for understanding strongly-correlated electronic states in molecular and solid systems. Their innovative approach, validated through extensive calculations, paves the way for realistic material simulations using near-term quantum computers.

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~3 min • Beginner • English
Abstract
Quantum computers hold promise to enable efficient simulations of the properties of molecules and materials; however, at present they only permit ab initio calculations of a few atoms, due to a limited number of qubits. In order to harness the power of near-term quantum computers for simulations of larger systems, it is desirable to develop hybrid quantum-classical methods where the quantum computation is restricted to a small portion of the system. This is of particular relevance for molecules and solids where an active region requires a higher level of theoretical accuracy than its environment. Here, we present a quantum embedding theory for the calculation of strongly-correlated electronic states of active regions, with the rest of the system described within density functional theory. We demonstrate the accuracy and effectiveness of the approach by investigating several defect quantum bits in semiconductors that are of great interest for quantum information technologies. We perform calculations on quantum computers and show that they yield results in agreement with those obtained with exact diagonalization on classical architectures, paving the way to simulations of realistic materials on near-term quantum computers.
Publisher
npj Computational Materials
Published On
Jul 02, 2020
Authors
He Ma, Marco Govoni, Giulia Galli
Tags
Quantum Embedding Theory
Strongly-Correlated States
Density Functional Theory
Quantum Information Technologies
Defect Quantum Bits
Quantum Computers
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