Optimization, sampling and machine learning are topics of broad interest that have inspired
significant developments and new approaches in quantum computing. One such approach …

Over the past several decades, quantum information science has emerged to seek answers
to the question: can we gain some advantage by storing, transmitting and processing …

Experiments on disordered alloys,–suggest that spin glasses can be brought into low-
energy states faster by annealing quantum fluctuations than by conventional thermal …

Quantum annealing (QA) has been proposed as a quantum enhanced optimization heuristic
exploiting tunneling. Here, we demonstrate how finite-range tunneling can provide …

Understanding magnetic phases in quantum mechanical systems is one of the essential
goals in condensed matter physics, and the advent of prototype quantum simulation …

Quantum technology is maturing to the point where quantum devices, such as quantum
communication systems, quantum random number generators and quantum simulators may …

Many interesting but practically intractable problems can be reduced to that of finding the
ground state of a system of interacting spins; however, finding such a ground state remains …

We have developed a quantum annealing processor, based on an array of tunable coupled
rf-SQUID flux qubits, fabricated in a superconducting integrated circuit process …

Adiabatic quantum computation (AQC) is an alternative to the better-known gate model of
quantum computation. The two models are polynomially equivalent, but otherwise quite …

Entanglement lies at the core of quantum algorithms designed to solve problems that are
intractable by classical approaches. One such algorithm, quantum annealing (QA), provides …