2 papers
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
Accelerated spin-adapted ground state preparation with non-variational quantum algorithms
Takumi Kobori, Taichi Kosugi, Hirofumi Nishi +2
Various methods have been explored to prepare the spin-adapted ground state, the lowest energy state within the Hilbert space constrained by externally specified values of the tota…