Photonic-crystal surface-emitting lasers
High-performance lasers are important to realize a range of applications including smart
mobility and smart manufacturing, for example, through their uses in key technologies such …
mobility and smart manufacturing, for example, through their uses in key technologies such …
Novel real number representations in ising machines and performance evaluation: Combinatorial random number sum and constant division
Quantum annealing machines are next-generation computers for solving combinatorial
optimization problems. Although physical simulations are one of the most promising …
optimization problems. Although physical simulations are one of the most promising …
Determination of stable proton configurations by black-box optimization using an Ising machine
Stable proton configurations in solid-state materials are a prerequisite for the theoretical
microscopic investigation of solid-state proton-conductive materials. However, a large …
microscopic investigation of solid-state proton-conductive materials. However, a large …
Dynamical process of a bit-width reduced Ising model with simulated annealing
Ising machines have attracted attention as efficient solvers for combinatorial optimization
problems, which are formulated as ground-state (lowest-energy) search problems of the …
problems, which are formulated as ground-state (lowest-energy) search problems of the …
Investigation of the growth rate on optical and crystal quality of InGaAs/AlGaAs multi-quantum wells and InGaAs single layer grown by molecular beam epitaxy (MBE)
L Shang, S Liu, S Ma, B Qiu, Z Yang, H Feng… - Materials Science in …, 2025 - Elsevier
The impact of growth rate on the optical and crystal quality of InGaAs/AlGaAs multi-quantum
wells (MQWs) and InGaAs single layer grown by molecular beam epitaxy (MBE) is studied …
wells (MQWs) and InGaAs single layer grown by molecular beam epitaxy (MBE) is studied …
Hybrid Optimization Method Using Simulated-Annealing-Based Ising Machine and Quantum Annealer
Ising machines have been developed as fast and highly accurate solvers for combinatorial
optimization problems. They are classified based on their internal algorithms, with examples …
optimization problems. They are classified based on their internal algorithms, with examples …
Optimization of Core–Shell Nanoparticles Using a Combination of Machine Learning and Ising Machine
M Urushihara, M Karube, K Yamaguchi… - Advanced Photonics …, 2023 - Wiley Online Library
Machine‐learning‐based optimization techniques are widely used for designing complex
materials. However, an efficient search for the complex systems, where a combinatorial …
materials. However, an efficient search for the complex systems, where a combinatorial …
Design of double-lattice GaN-PCSEL based on triangular and circular holes
Q Liu, M Meng, S Ma, M Feng - Optics Express, 2023 - opg.optica.org
We have theoretically designed a double-lattice photonic crystal surface-emitting laser
(PCSEL) based on triangular and circular holes. In the design, porous-GaN which has the …
(PCSEL) based on triangular and circular holes. In the design, porous-GaN which has the …
Performance of Domain-Wall Encoding in a Digital Ising Machine
To tackle combinatorial optimization problems on an Ising machine, the objective function
and constraints have to be mapped onto a quadratic unconstrained binary optimization …
and constraints have to be mapped onto a quadratic unconstrained binary optimization …