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Thursday, February 07, 2019
12:30 PM - 1:30 PM
T-DO Conference Room (03-123-121)

Quantum Lunch

Quantum Neural Network - Coherent Ising Machine, XY Machine and Recurrent Neural Network

Yoshihisa Yamamoto
Japan Science and Technology Agency

In this talk, we will present the basic concept, operational principle and observed performance of a novel computing machine based on the network of degenerate optical parametric oscillators. The developed machine has 2048 spins with all-to-all connections and is now available as a cloud system via internet.

There are at least three quantum computing models proposed today: unitary quantum computation, adiabatic quantum computation and dissipative quantum computation. Table I compares the two quantum computational models. A gate model quantum computer implements the unitary quantum computation model and is expected to solve problems with hidden periodicity or specific structure efficiently, while a quantum neural network,including coherent Ising machine (CIM), implements the dissipative quantum computation model and is expected to solve combinatorial optimization problems. Table II compares the two types of CIMs, optical delay line coupling machine and measurement feedback coupling machine. We will discuss these experimental machines and the performance comparison against modern digital computers and algorithms.

Host: Yigit Subasi