Poster Session (PSb-139～PSb-166)

[PSb-145] Effective implementation of L0-Regularised Compressed Sensing with Chaotic-Amplitude-Controlled Coherent Ising Machines

*Sudeera Hasaranga Gunathilaka¹, Satoshi Kako², Yoshitaka Inui², Kazushi Mimura^3,1, Masato Okada⁴, Yoshihisa Yamamoto^2,5, Toru Aonishi¹ (1. School of Computing, Tokyo Institute of Technology, Japan., 2. Physics and Informatics Laboratories, NTT Research Inc., USA., 3. Graduate School of Information Sciences, Hiroshima City University, Japan., 4. Graduate School of Frontier Sciences, University of Tokyo, Japan., 5. E. L. Ginzton Laboratory, Stanford University, USA.)

キーワード：Coherent Ising machine, Compressed Sensing, Bayesian inference, Magnetic Resonance Imaging, Combinatorial optimisation