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

4 citations

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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

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…

quant-ph2024★ 4 cited

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

Hirofumi Nishi, Yuki Takei, Taichi Kosugi +4

In this study, we employed a quantum computer to solve a low-energy effective Hamiltonian for spin defects in diamond (so-called NV centre) and wurtzite-type aluminium nitride, whi…