( en | de | ru )

 

Disambiguation of "Okuyama, Takuya"

Author of the publication

copydeleteadd this publication to your clipboard
Accelerator Chip for Ground-state Searches of Ising Model with Asynchronous Random Pulse Distribution.

, , , , , and . Int. J. Netw. Comput., 6 (2): 195-211 (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Takuya Soma

Takuya Suzuki

 

Other publications of authors with the same name

Accelerator Chip for Ground-state Searches of Ising Model with Asynchronous Random Pulse Distribution., , , , , and . Int. J. Netw. Comput., 6 (2): 195-211 (2016)24.3 20k-spin Ising chip for combinational optimization problem with CMOS annealing., , , , , and . ISSCC, page 1-3. IEEE, (2015)Computing architecture to perform approximated simulated annealing for Ising models., , , and . ICRC, page 1-8. IEEE Computer Society, (2016)CMOS Annealing Machine: an In-memory Computing Accelerator to Process Combinatorial Optimization Problems., , , , and . CICC, page 1-8. IEEE, (2019)An Accelerator Chip for Ground-State Searches of the Ising Model with Asynchronous Random Pulse Distribution., , , , , and . CANDAR, page 542-546. IEEE Computer Society, (2015)Improving the Robustness of Epidemic Communication in Scale-Free Networks., , and . BioADIT, volume 3853 of Lecture Notes in Computer Science, page 294-305. Springer, (2006)An Ising Computer Based on Simulated Quantum Annealing by Path Integral Monte Carlo Method., , and . ICRC, page 1-6. IEEE, (2017)FPGA-based Annealing Processor for Ising Model., , , and . CANDAR, page 436-442. IEEE Computer Society, (2016)Multistep Hyperparameter Tuning via Reinforcement Learning for Simulated Annealing., , , , and . CoDIT, page 876-882. IEEE, (2023)QUBO-inspired Molecular Fingerprint for Chemical Property Prediction., , , and . IEEE Big Data, page 2437-2440. IEEE, (2022)