3 papers
quant-ph2025
Quantum Amplitude-Amplification Eigensolver: A State-Learning-Assisted Approach beyond Energy-Gradient-Based Heuristics
Kyunghyun Baek, Seungjin Lee, Joonsuk Huh +4
Ground-state estimation lies at the heart of a broad range of quantum simulations. Most near-term approaches are cast as variational energy minimization and thus inherit the challe…
quant-ph2025
Quantum state transfer of superposed multi-photon states via phonon-induced dynamic resonance in an optomechanical system
Xuanloc Leu, Xuan-Hoai Thi Nguyen, Jinhyoung Lee
We propose a method to transfer macroscopically superposed states between two optical cavities mediated by a mechanical oscillator, which works in a nonlinear regime of optomechani…
quant-ph2024
A variational quantum algorithm by Bayesian Inference with von Mises-Fisher distribution
Trung Huynh, Gwangil An, Minsu Kim +2
The variational quantum eigensolver algorithm has gained attentions due to its capability of locating the ground state and ground energy of a Hamiltonian, which is a fundamental ta…