timothee leleu

Project Associate Professor | International Research Center for Neurointelligence, The University of Tokyo

Synopsis of Timothee Leleu’s upcoming presentation at the NTT Research Upgrade 2021 Summit on September 20-21, 2021. To register for the NTT Research Upgrade 2021 Summit, click here.


A fast, scalable, and reconfigurable simulation platform for the coherent Ising machine
The University of Tokyo’s International Research Center for Neurointelligence (IRCN) and NTT Research have started this year a joint research agreement to develop new numerical tools and a simulator for the coherent Ising machine (CIM).


In this talk, I will give an overview of the current state of the CIM’s digital electronics simulator in terms of computational principle, algorithms and candidate hardware and plans for building a simulation platform that is fast, scalable, and reconfigurable. I will explain the complementary role of machine learning and AI accelerators in developing an ecosystem of algorithms for real-world applications.


The CIM simulator will test novel analog or quantum computation of the physical CIM and serve as a point of comparison for its computational capabilities.

Dr. Leleu studies the mechanisms of neural computation from the applied mathematics perspective, constructing theoretical models, and applying them to solve real-world problems. Primarily interested in the combinatorial aspects of neural computation, his particular focus is the analysis of neuronal activity for the inference of network structure and using artificial neural networks for solving combinatorial optimization problems. His multi-disciplinary research likewise pursues the development of specialized hardware (either in electronics or photonics).