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quant-ph2025
Adaptive Interpolating Quantum Transform: A Quantum-Native Framework for Efficient Transform Learning
Gekko Budiutama, Shunsuke Daimon, Hirofumi Nishi +3
Machine learning on quantum computers has attracted attention for its potential to deliver computational speedups in different tasks. However, deep variational quantum circuits req…
quant-ph2025
Entanglement entropy dynamics of non-Gaussian states in free boson systems: Random sampling approach
Ryui Kaneko, Daichi Kagamihara, Ippei Danshita
We develop a random sampling method for calculating the time evolution of the Rényi entanglement entropy after a quantum quench from an insulating state in free boson systems. Bec…
quant-ph2025
Forecasting long-time dynamics in quantum many-body systems by dynamic mode decomposition
Ryui Kaneko, Masatoshi Imada, Yoshiyuki Kabashima +1
Reliable numerical computation of quantum dynamics is a fundamental challenge when the long-ranged quantum entanglement plays essential roles as in the cases governed by quantum cr…