The Fujitsu Digital Annealer is designed to solve fully connected quadratic unconstrained
binary optimization (QUBO) problems. It is implemented on application-specific CMOS …

Quantum machine learning promises to revolutionize traditional machine learning by
efficiently addressing hard tasks for classical computation. While claims of quantum speed …

Recent advance on quantum devices realizes an artificial quantum spin system known as
the D-Wave 2000Q, which implements the Ising model with tunable transverse field. In this …

Quantum annealing is a generic solver for optimization problems that uses fictitious quantum
fluctuation. The most groundbreaking progress in the research field of quantum annealing is …

Computing plays a significant role in power system analytics. As mathematical challenges
increase and data become the epicenter of modern decision making, substantial progress …

For e-commerce websites, deciding the manner in which items are listed on webpages is an
important issue because it can dramatically affect item sales. One of the simplest strategies …

The intelligent transportation system (ITS) integrates a variety of advanced science and
technology to support and monitor road traffic systems and accelerate the urbanization …

Abstract Restricted Boltzmann machines (RBMs) constitute a class of neural networks for
unsupervised learning with applications ranging from pattern classification to quantum state …

Quantum annealing was originally proposed as an approach for solving combinatorial
optimization problems using quantum effects. D-Wave Systems has released a production …

Quantum computing is a transformative technology with the potential to enhance operations
in the space industry through the acceleration of optimization and machine learning …