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Electronic structure with direct diagonalization on a D-wave quantum annealer

Chemistry

Electronic structure with direct diagonalization on a D-wave quantum annealer

A. Teplukhin, B. K. Kendrick, et al.

Discover the groundbreaking work of Alexander Teplukhin, Brian K. Kendrick, Sergei Tretiak, and Pavel A. Dub as they harness the power of the Quantum Annealer Eigensolver algorithm to tackle complex molecular electronic Hamiltonian problems using a D-Wave 2000Q quantum annealer. Their innovative approach not only reveals ground and excited electronic states in small molecular systems but also sets the stage for advancements in electronic structure methods. Explore their promising results that pave the way for further optimization solutions!

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~3 min • Beginner • English
Abstract
Quantum chemistry is regarded to be one of the first disciplines that will be revolutionized by quantum computing. Although universal quantum computers of practical scale may be years away, various approaches are currently being pursued to solve quantum chemistry problems on near-term gate-based quantum computers and quantum annealers by developing the appropriate algorithm and software base. This work implements the general Quantum Annealer Eigensolver (QAE) algorithm to solve the molecular electronic Hamiltonian eigenvalue-eigenvector problem on a D-Wave 2000Q quantum annealer. The approach is based on the matrix formulation, efficiently uses qubit resources based on a power-of-two encoding scheme and is hardware-dominant relying on only one classically optimized parameter. We demonstrate the use of D-Wave hardware for obtaining ground and excited electronic states across a variety of small molecular systems. The approach can be adapted for use by a vast majority of electronic structure methods currently implemented in conventional quantum-chemical packages. The results of this work will encourage further development of software such as qbsolv which has promising applications in emerging quantum information processing hardware and has expectation to address large and complex optimization problems intractable for classical computers.
Publisher
Scientific Reports
Published On
Nov 27, 2020
Authors
Alexander Teplukhin, Brian K. Kendrick, Sergei Tretiak, Pavel A. Dub
Tags
Quantum Annealer
Eigensolver
Hamiltonian
molecular systems
quantum computing
ground states
optimization
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