The122th KARC Colloquium

The122th KARC Colloquium was ended. Thank you for the participation.

Date&Time	14:00-15:00 (Fri), November 20th, 2015
Place	Conference Room, 2F of Research Building 1, KARC, NICT
Lecturer	"New era of machine learning and computing technique promoted by quantum annealing"
Speaker	Dr. Shu Tanaka, Waseda Institute for Advanced Study
Abstract	Quantum annealing is new computing technique proposed theoretically by Kadowaki and Nishimori in 1998, which is a way expected to solve the combinatorial optimization problem effectively. The combinatorial optimization problem is intrinsic in various fields such as chemistry, traffic, communication, electrical circuit, but it is really difficult to obtain an optimized solution, and thus a new computing technique is highly demanded for solving this problem. We study the quantum annealing from 2009, and consider the availability of quantum annealing for cluster analysis. The cluster analysis is a method of a machine learning, which is a way to classify huge data based on their implicit meaning. We found that the quantum annealing is more effective than conventional simulated annealing by quantum Monte Carlo simulation. The talk consists of two part; first part is an introduction of basic of quantum annealing basics and "d-wave" commercial system based on superconducting technology. Second part is our study on cluster analysis by using the quantum annealing.
Language	Japanese
Admission	Free
Organizer	Hirotaka Terai, Research Maneger, Nano ICT Laboratory ,Advanced ICT Research Institute, NICT