Jeremy P. Hilton

TL;DR: This programmable artificial spin network bridges the gap between the theoretical study of ideal isolated spin networks and the experimental investigation of bulk magnetic samples, and may provide a practical physical means to implement a quantum algorithm, possibly allowing more-effective approaches to solving certain classes of hard combinatorial optimization problems.

TL;DR: In this article, a quantum annealing processor based on an array of tunable coupled rf-SQUID flux qubits, fabricated in a superconducting integrated circuit process, is presented.

TL;DR: In this paper, a quantum annealing processor based on an array of tunably coupled rf-SQUID flux qubits, fabricated in a superconducting integrated circuit process, is presented.

TL;DR: A large-scale programmable quantum simulation is described, using a D-Wave quantum processor to simulate a two-dimensional magnetic lattice in the vicinity of a topological phase transition.

TL;DR: In this article, a series of architecturally scalable quantum annealing (QA) processors consisting of networks of manufactured interacting spins (qubits) were built and the energy eigen spectrum of two-and eight-qubit systems within one such processor was measured.