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quant-ph2023★ 85 cited
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Yuri Alexeev, Maximilian Amsler, Paul Baity +124
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…
quant-ph2023★ 5 cited
Quantum-enhanced quantum Monte Carlo: an industrial view
Maximilian Amsler, Peter Deglmann, Matthias Degroote +10
In this work, we test a recently developed method to enhance classical auxiliary-field quantum Monte Carlo (AFQMC) calculations with quantum computers against examples from chemist…