most citedEncoded probabilistic imaginary-time evolution on a trapped-ion quantum computer for ground and excited states of spin qubits

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physics.chem-ph2025★ 2 cited

Towards Improved Quantum Machine Learning for Molecular Force Fields

Yannick Couzinié, Shunsuke Daimon, Hirofumi Nishi +3

This study explores the use of equivariant quantum neural networks (QNN) for generating molecular force fields, focusing on the rMD17 dataset. We consider a QNN architecture based…