281 citations · 1.2k across the 17 of their papers we have counts for
17 papers
Entanglement in a quantum annealing processor
T. Lanting, A. J. Przybysz, A. Yu. Smirnov +23
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 a…
Finding low-energy conformations of lattice protein models by quantum annealing
Alejandro Perdomo-Ortiz, Neil Dickson, Marshall Drew-Brook +2
Lattice protein folding models are a cornerstone of computational biophysics. Although these models are a coarse grained representation, they provide useful insight into the energy…
Investigating the Performance of an Adiabatic Quantum Optimization Processor
Kamran Karimi, Neil G. Dickson, Firas Hamze +6
Adiabatic quantum optimization offers a new method for solving hard optimization problems. In this paper we calculate median adiabatic times (in seconds) determined by the minimum…
Observation of Co-tunneling in Pairs of Coupled Flux Qubits
T. Lanting, R. Harris, J. Johansson +17
We report measurements of macroscopic resonant tunneling between the two lowest energy states of a pair of magnetically coupled rf-SQUID flux qubits. This technique provides a dire…
Experimental Investigation of an Eight Qubit Unit Cell in a Superconducting Optimization Processor
R. Harris, M. W. Johnson, T. Lanting +23
A superconducting chip containing a regular array of flux qubits, tunable interqubit inductive couplers, an XY-addressable readout system, on-chip programmable magnetic memory, and…
Training a Large Scale Classifier with the Quantum Adiabatic Algorithm
Hartmut Neven, Vasil S. Denchev, Geordie Rose +1
In a previous publication we proposed discrete global optimization as a method to train a strong binary classifier constructed as a thresholded sum over weak classifiers. Our motiv…