Bridging Quantum Chemistry and MaxCut: Classical Performance Guarantees and Quantum Algorithms for the Hartree-Fock Method
Alexis Ralli, Tim Weaving, Peter V. Coveney, Peter J. Love

TL;DR
This paper introduces Hartree-Fock-inspired algorithms reformulated as QUBO and MaxCut problems, providing performance guarantees and demonstrating improved stability and potential quantum algorithm applications in quantum chemistry.
Contribution
It develops a novel reformulation of Hartree-Fock SCF algorithms as QUBO and MaxCut problems, enabling performance guarantees and integration with quantum algorithms.
Findings
QUBO-SCF and MaxCut-SCF are more stable than traditional methods.
Demonstrated scalability to systems with up to 220 qubits.
Proposed hybrid quantum-classical algorithms for quantum chemistry.
Abstract
In quantum chemistry, self-consistent field (SCF) algorithms define a nonlinear optimization problem, with both continuous and discrete components. In this work, we derive Hartree-Fock-inspired SCF algorithms that can be exactly written as a sequence of Quadratic Unconstrained Spin/Binary Optimization problems (QUSO/QUBO). We reformulate the optimization problem as a series of MaxCut graph problems, which can be efficiently solved using semi-definite programming techniques. This procedure provides performance guarantees at each SCF step, irrespective of the complexity of the optimization landscape. We numerically demonstrate the QUBO-SCF and MaxCut-SCF methods by studying the hydroxide anion OH- and molecular Nitrogen N2. The largest problem addressed in this study involves a system comprised of 220 qubits (equivalently, spin-orbitals). Our results show that QUBO-SCF and MaxCut-SCF…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Spectroscopy and Quantum Chemical Studies · Advanced Chemical Physics Studies
