Quantum annealing is a quantum computing approach widely used for optimization and
probabilistic sampling problems. It is an alternative approach designed due to the limitations …

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

We report on an analog computing system with coupled non-linear oscillators which is
capable of solving complex combinatorial optimization problems using the weighted Ising …

Quantum tunnelling is a phenomenon in which a quantum state traverses energy barriers
higher than the energy of the state itself. Quantum tunnelling has been hypothesized as an …

I describe how real quantum annealers may be used to perform local (in state space)
searches around specified states, rather than the global searches traditionally implemented …

Recently the question of whether the D-Wave processors exhibit large-scale quantum
behavior or can be described by a classical model has attracted significant interest. In this …

Abstract Machine learning (ML) is the most promising subset of artificial intelligence.
Quantum computing is prevalent for fast problem-solving approaches. The complex …

The performance of open-system quantum annealing is adversely affected by thermal
excitations out of the ground state. While the presence of energy gaps between the ground …

Quantum annealing is a proposed combinatorial optimization technique meant to exploit
quantum mechanical effects such as tunneling and entanglement. Real-world quantum …

We present a general error-correcting scheme for quantum annealing that allows for the
encoding of a logical qubit into an arbitrarily large number of physical qubits. Given any Ising …