The 70th JSAP Spring Meeting 2023

Presentation information

Oral presentation

11 Superconductivity » 11.5 Junction and circuit fabrication process, digital applications

[16p-D215-1~16] 11.5 Junction and circuit fabrication process, digital applications

Thu. Mar 16, 2023 1:30 PM - 6:00 PM D215 (Building No. 11)

Yoshinao Mizugaki(UEC), Yuki Yamanashi(Yokohama Natl. Univ.), Naoki Takeuchi(AIST)

5:00 PM - 5:15 PM

[16p-D215-13] Stabilization of Boltzmann machines by superconducting circuits

Seigo Ito1, Yuki Yamanashi1,2, Nobuyuki Yoshikawa1,2 (1.Yokohama Nat'l Univ., 2.IAS,Yokohama Nat'l Univ.)

Keywords:Boltzmann machines, Quantum flux parametrons

A Boltzmann machine is an artificial neural network. The output is obtained by stochastic transition of the entire system to an energy stable point. We designed a NOR as a logic gate of the Boltzmann machine using a quantum flux parametron, which is one of superconducting circuits. We used maximum likelihood estimation to optimize the operating point, which is determined by the bias current and mutual inductance supplied to each QFP.