L0 regularization-based compressed sensing with quantum–classical hybrid approach
L0-regularization-based compressed sensing (L0-RBCS) has the potential to outperform L1-
regularization-based compressed sensing (L1-RBCS), but the optimization in L0-RBCS is …
regularization-based compressed sensing (L1-RBCS), but the optimization in L0-RBCS is …
Effect of Coupling Discretization on Coherent-Ising-Machine-Implemented Hopfield Model
The coherent Ising machine (CIM) is being developed for solving combinatorial optimization
problems scalably at high speed. The actual equipment of the measurement-feedback type …
problems scalably at high speed. The actual equipment of the measurement-feedback type …
Trip Planning Based on subQUBO Annealing
The trip planning problem (TPP) can be formulated as a combinatorial optimization problem
that searches for the best route to visit a series of landmarks and hotels. Meanwhile, Ising …
that searches for the best route to visit a series of landmarks and hotels. Meanwhile, Ising …
[HTML][HTML] Statistical mechanics of CDMA multiuser detector implemented in coherent Ising machine
The scalability and computational ability of the coherent Ising machine (CIM) have made it
attract attention as one of the most effective Ising computing architectures for solving large …
attract attention as one of the most effective Ising computing architectures for solving large …
Analysis of the hopfield model with discrete coupling
R Sasaki, T Aonishi - Journal of the Physical Society of Japan, 2021 - journals.jps.jp
Growing demand for high-speed Ising-computing-specific hardware has prompted a need
for determining how the accuracy depends on a hardware implementation with physically …
for determining how the accuracy depends on a hardware implementation with physically …
[HTML][HTML] Critical memory capacity of Hopfield model implemented in coherent Ising machine
The coherent Ising machine (CIM) has attracted attention as one of the most effective Ising
computing architectures for solving large-scale optimization problems because of its …
computing architectures for solving large-scale optimization problems because of its …
Distributions of steady states in a network of degenerate optical parametric oscillators in solving combinatorial optimization problems
R Miyazaki, M Ohzeki - Physical Review A, 2018 - APS
We investigate a network of degenerate optical parametric oscillators (DOPOs) as a model
of the coherent Ising machine, an architecture for solving Ising problems. The network …
of the coherent Ising machine, an architecture for solving Ising problems. The network …
[PDF][PDF] Realization and Evaluation of Measurement Feedback Coherent Ising Machines for Combinatorial Optimization Problems
Y Haribara - U. Tokyo dissertation, 2017 - repository.dl.itc.u-tokyo.ac.jp
The growth of computer performance substantiated our sophisticated society with a
tremendous amount of data and numerical optimizations everywhere. Combinatorial …
tremendous amount of data and numerical optimizations everywhere. Combinatorial …
Steady state distributions of network of degenerate optical parametric oscillators in solving combinatorial optimization problems
R Miyazaki, M Ohzeki - arXiv preprint arXiv:1808.10643, 2018 - arxiv.org
We investigate network of degenerate optical parametric oscillators (DOPOs) as a model of
the coherent Ising machine, an architecture for solving Ising problems. The network …
the coherent Ising machine, an architecture for solving Ising problems. The network …