36 citations · 100 across the 9 of their papers we have counts for
9 papers
Hybrid Optimization Method Using Simulated-Annealing-Based Ising Machine and Quantum Annealer
Shuta Kikuchi, Nozomu Togawa, Shu Tanaka
Ising machines have the potential to realize fast and highly accurate solvers for combinatorial optimization problems. They are classified based on their internal algorithms. Examp…
Dynamical process of a bit-width reduced Ising model with simulated annealing
Shuta Kikuchi, Nozomu Togawa, Shu Tanaka
Ising machines have attracted attention as efficient solvers for combinatorial optimization problems, which are formulated as ground-state (lowest-energy) search problems of the Is…
ISAAQ: Ising Machine Assisted Quantum Compiler
Soshun Naito, Yoshihiko Hasegawa, Yoshiki Matsuda +1
It is imperative to compile quantum circuits for Noisy Intermediate-Scale Quantum (NISQ) devices because of the limited connectivity of physical qubits and the high error rates of…
Towards optimization of photonic-crystal surface-emitting lasers via quantum annealing
Takuya Inoue, Yuya Seki, Shu Tanaka +3
Photonic-crystal surface-emitting lasers (PCSELs), which utilize a two-dimensional (2D) optical resonance inside a photonic crystal for lasing, feature various outstanding function…
Black-box optimization for integer-variable problems using Ising machines and factorization machines
Yuya Seki, Ryo Tamura, Shu Tanaka
Black-box optimization has potential in numerous applications such as hyperparameter optimization in machine learning and optimization in design of experiments. Ising machines are…
Quantum-Classical Computational Molecular Design of Deuterated High-Efficiency OLED Emitters
Qi Gao, Gavin O. Jones, Michihiko Sugawara +5
This study describes a hybrid quantum-classical computational approach for designing synthesizable deuterated emitters possessing desirable emission quantum efficiencies (Q…
PyQUBO: Python Library for Mapping Combinatorial Optimization Problems to QUBO Form
Mashiyat Zaman, Kotaro Tanahashi, Shu Tanaka
We present PyQUBO, an open-source, Python library for constructing quadratic unconstrained binary optimizations (QUBOs) from the objective functions and the constraints of optimiza…
Guiding Principle for Minor-Embedding in Simulated-Annealing-Based Ising Machines
Tatsuhiko Shirai, Shu Tanaka, Nozomu Togawa
We propose a novel type of minor-embedding (ME) in simulated-annealing-based Ising machines. The Ising machines can solve combinatorial optimization problems. Many combinatorial op…
Exact bounds for dynamical critical exponents of transverse-field Ising chains with a correlated disorder
Tatsuhiko Shirai, Shu Tanaka
This study investigates the dynamical critical exponent of disordered Ising chains under transverse fields to examine the effect of a correlated disorder on quantum phase transitio…