1 citations · 1 across the 2 of their papers we have counts for
6 papers
Experimental implementation of continuous-variable QAOA on a quad-rail lattice cluster state
Shota Yokoyama, Atsushi Sakaguchi, Jun-ichi Yoshikawa +6
We experimentally demonstrate the continuous-variable quantum approximate optimization algorithm (CV-QAOA) for multi-variable problems and multiple QAOA depths using a measurement-…
A full-stack analog optical quantum computing platform with one hundred inputs
Shota Yokoyama, Atsushi Sakaguchi, Warit Asavanant +11
Optical technology is a highly promising platform for quantum computing due to its enormous potential for large-scale, ultrafast computation. However, realizing a programmable and…
Unified formalism and adaptive algorithms for optimal quantum state, detector and process tomography
Shuixin Xiao, Xiangyu Wang, Yuanlong Wang +8
Quantum tomography is a standard technique for characterizing, benchmarking and verifying quantum systems/devices and plays a vital role in advancing quantum technology and underst…
Tracking Quantum Dynamics in an Optical Cavity for Recovering Purity and Squeezing via Quantum State Smoothing
Shota Yokoyama, Kiarn T. Laverick, David McManus +6
Tracking the dynamics of a quantum system is conventionally achieved by monitoring the system continuously in time and filtering the information contained in measurement records vi…
Configuration design of multimode Gaussian operations on continuous-variable quad-rail lattice cluster states
Jun-ichi Yoshikawa, Warit Asavanant, Hironari Nagayoshi +4
Continuous-variable quad-rail lattice cluster states enable flexible quantum circuit design on their two-dimensional structure. However, how to combine basic operations on the quad…
Fast State Stabilization using Deep Reinforcement Learning for Measurement-based Quantum Feedback Control
Chunxiang Song, Yanan Liu, Daoyi Dong +1
The stabilization of quantum states is a fundamental problem for realizing various quantum technologies. Measurement-based-feedback strategies have demonstrated powerful performanc…