A modal backflow NQS with selected-configuration evaluation and VSCF pretraining delivers spectroscopically accurate zero-point energies and vibrational transitions across anharmonic regimes for artificial and ab initio Hamiltonians.
Cybenko, Approximation by superpositions of a sigmoidal function, Math
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QKAN is a quantum algorithmic framework using block-encodings and QSVT to implement wide-and-shallow networks for quantum learning and compositional state preparation.
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Modal Backflow Neural Quantum States for Anharmonic Vibrational Calculations
A modal backflow NQS with selected-configuration evaluation and VSCF pretraining delivers spectroscopically accurate zero-point energies and vibrational transitions across anharmonic regimes for artificial and ab initio Hamiltonians.
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QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation
QKAN is a quantum algorithmic framework using block-encodings and QSVT to implement wide-and-shallow networks for quantum learning and compositional state preparation.