2022
DOI: 10.1098/rsta.2021.0414
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Simulations of frustrated Ising Hamiltonians using quantum approximate optimization

Abstract: Novel magnetic materials are important for future technological advances. Theoretical and numerical calculations of ground-state properties are essential in understanding these materials, however, computational complexity limits conventional methods for studying these states. Here we investigate an alternative approach to preparing materials ground states using the quantum approximate optimization algorithm (QAOA) on near-term quantum computers. We study classical Ising spin models on unit cells of square, Sha… Show more

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Cited by 8 publications
(1 citation statement)
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“…The paper entitled ‘Optimization with photonic wave based annealers’ [ 27 ] by Prabhakar et al develops two different types of photonic Ising machines and compares the performances with a state-of-the-art classical solver and a quantum annealer on two combinatorial optimization problems. The paper entitled ‘Simulations of frustrated Ising Hamiltonians using quantum approximate optimization’ [ 28 ] by Lotshaw et al investigates the properties of the ground state of frustrated magnetic materials using QAOA, a quantum computer-based optimization algorithm. In the paper by Dridi et al .…”
Section: Spin Dynamics Topological and Optical Properties Etc In Quan...mentioning
confidence: 99%
“…The paper entitled ‘Optimization with photonic wave based annealers’ [ 27 ] by Prabhakar et al develops two different types of photonic Ising machines and compares the performances with a state-of-the-art classical solver and a quantum annealer on two combinatorial optimization problems. The paper entitled ‘Simulations of frustrated Ising Hamiltonians using quantum approximate optimization’ [ 28 ] by Lotshaw et al investigates the properties of the ground state of frustrated magnetic materials using QAOA, a quantum computer-based optimization algorithm. In the paper by Dridi et al .…”
Section: Spin Dynamics Topological and Optical Properties Etc In Quan...mentioning
confidence: 99%