ArticleScientific reports2020
Electronic structure with direct diagonalization on a D-wave quantum annealer.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Mapping of fermionic lattice models for Ising solvers.Scientific reports · 2026Article
- How to experimentally evaluate the adiabatic condition for quantum annealing.Scientific reports · 2024Article
- Implementation of the Projective Quantum Eigensolver on a Quantum Computer.The journal of physical chemistry. A · 2024Article
- Molecular dynamics on quantum annealers.Scientific reports · 2022Article
- Controlled precision QUBO-based algorithm to compute eigenvectors of symmetric matrices.PloS one · 2022Article
- Sampling electronic structure quadratic unconstrained binary optimization problems (QUBOs) with Ocean and Mukai solvers.PloS one · 2022Article
- Computing molecular excited states on a D-Wave quantum annealer.Scientific reports · 2021Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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