Dr. Colin P. Williams, Director of Strategy & Business Development at D-Wave Systems, Inc. explains how D-Wave’s adiabatic quantum computers are perfectly suited for carrying out machine learning and how quantum computers can rapidly accelerate progress in the field.
On May 11, 2011, D-Wave Systems announced D-Wave One, described as “the world’s first commercially available quantum computer”, operating on a 128-qubit chipset using quantum annealing (a general method for finding the global minimum of a function by a process using quantum fluctuations) to solve optimization problems. In May 2013, a collaboration between NASA, Google and the Universities Space Research Association launched a Quantum Artificial Intelligence Lab based on the D-Wave Two 512-qubit quantum computer that would be used for research into machine learning, among other fields of study.
On August 20, 2015, D-Wave Systems announced the general availability of the D-Wave 2X system, a 1000+ qubit quantum computer. This was followed by an announcement on September 28, 2015 that it had been installed at the Quantum Artificial Intelligence Lab at NASA Ames Research Center.
Earlier the year D-Wave released the D-Wave 2000Q and Qbsolv. Qbsolv is open-source software that solves QUBO problems on both company’s quantum processors and on classic hardware.
Dr. Collins talk was published on July 24th, 2017