PHI

When basic research presses against boundaries of existing bodies of knowledge, new multi-disciplinary fields of study and breakthrough applications can arise as a result. That appears to be happening in an area of quantum computing associated with the Coherent Ising Machine (CIM). While it takes an expert to follow this research in detail, business leaders

By NTT Staff Our PHI Lab is focused on solving the most difficult computational problems ever conceived. To do so, they are employing a novel computing system called a Coherent Ising Machine (CIM). Three years ago, PHI Lab Director Yoshihisa Yamamoto and seven colleagues introduced the basic concept of the CIM and its quantum feature

By NTT Research Staff Through a joint research agreement with the Physics and Informatics (PHI) Lab, a professor of theoretical physics at the University of Notre Dame’s Department of Physics will explore the limits of analog computing, investigate solutions for computationally “hard” problems that approach those limits, explore improved performance of Coherent Ising Machines (CIMs)

It’s not too early to begin thinking about quantum computing use cases, as NTT President and CEO Kazuhiro Gomi suggests in his most recent article in Forbes. The first task is to consider the different approaches. One involves the use of quantum gates, and one particular quantum-gate approach uses the approximate optimization algorithm (QAOA). And

By NTT Staff It makes sense that someone with a Ph.D. in Applied Physics would feel at home in the Physics & Informatics (PHI) Lab. What distinguishes one of the research scientists in the PHI Lab, Dr. Hidenori Tanaka, is his keen interest for biological and artificial neural networks. Just as investigative journalists are told

By NTT Research PHI Lab In December 2019, we welcomed to the Physics and Informatics (PHI) Lab Dr. Hidenori Tanaka, who had previously been a post-doctoral fellow and visiting scholar at Stanford University. While there, he became the lead author for a paper presented at NeurIPS 2019, a leading computational neuroscience conference. This paper was