Readiness of Quantum Optimization Machines for Industrial Applications

Quantum Annealing amid Local Ruggedness and Global Frustration

(2019) James King et al.   JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN

Approximate Model-Based Diagnosis Using Greedy Stochastic Search

(2018) A. Feldman et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Modernizing quantum annealing using local searches

(2017) Nicholas Chancellor   NEW JOURNAL OF PHYSICS

Quantum Annealing via Environment-Mediated Quantum Diffusion

(2017) Vadim N. Smelyanskiy et al.   PHYSICAL REVIEW LETTERS

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

(2017) Marcello Benedetti et al.   Physical Review X

Circuit design for multi-body interactions in superconducting quantum annealing systems with applications to a scalable architecture

(2017) N. Chancellor et al.   npj Quantum Information

Computational multiqubit tunnelling in programmable quantum annealers

(2016) Sergio Boixo et al.   Nature Communications

What is the Computational Value of Finite-Range Tunneling?

(2016) Vasil S. Denchev et al.   Physical Review X

Bayesian network structure learning using quantum annealing

(2015) B. O’Gorman et al.   European Physical Journal-Special Topics

A quantum annealing approach for fault detection and diagnosis of graph-based systems

(2015) A. Perdomo-Ortiz et al.   European Physical Journal-Special Topics

Probing for quantum speedup in spin-glass problems with planted solutions

(2015) Itay Hen et al.   PHYSICAL REVIEW A

Efficient Cluster Algorithm for Spin Glasses in Any Space Dimension

(2015) Zheng Zhu et al.   PHYSICAL REVIEW LETTERS

Quantum versus classical annealing of Ising spin glasses

(2015) B. Heim et al.   SCIENCE

Experimental quantum annealing: case study involving the graph isomorphism problem

(2015) Kenneth M. Zick et al.   Scientific Reports

Seeking Quantum Speedup Through Spin Glasses: The Good, the Bad, and the Ugly

(2015) Helmut G. Katzgraber et al.   Physical Review X

Evidence for quantum annealing with more than one hundred qubits

(2014) Sergio Boixo et al.   Nature Physics

A case study in programming a quantum annealer for hard operational planning problems

(2014) Eleanor G. Rieffel et al.   Quantum Information Processing

Defining and detecting quantum speedup

(2014) T. F. Ronnow et al.   SCIENCE

Glassy Chimeras Could Be Blind to Quantum Speedup: Designing Better Benchmarks for Quantum Annealing Machines

(2014) Helmut G. Katzgraber et al.   Physical Review X

Resource efficient gadgets for compiling adiabatic quantum optimization problems

(2013) Ryan Babbush et al.   ANNALEN DER PHYSIK

Experimental signature of programmable quantum annealing

(2013) Sergio Boixo et al.   Nature Communications

Thermally assisted quantum annealing of a 16-qubit problem

(2013) N G Dickson et al.   Nature Communications

Quantum adiabatic Markovian master equations

(2012) Tameem Albash et al.   NEW JOURNAL OF PHYSICS

Ramsey Numbers and Adiabatic Quantum Computing

(2012) Frank Gaitan et al.   PHYSICAL REVIEW LETTERS

Finding low-energy conformations of lattice protein models by quantum annealing

(2012) Alejandro Perdomo-Ortiz et al.   Scientific Reports

Quantum annealing with manufactured spins

(2011) M. W. Johnson et al.   NATURE

Experimental investigation of an eight-qubit unit cell in a superconducting optimization processor

(2010) R. Harris et al.   PHYSICAL REVIEW B

A study of heuristic guesses for adiabatic quantum computation

(2010) Alejandro Perdomo-Ortiz et al.   Quantum Information Processing

Minor-embedding in adiabatic quantum computation: II. Minor-universal graph design

(2010) Vicky Choi   Quantum Information Processing

Construction of model Hamiltonians for adiabatic quantum computation and its application to finding low-energy conformations of lattice protein models

(2008) Alejandro Perdomo et al.   PHYSICAL REVIEW A

Colloquium: Quantum annealing and analog quantum computation

(2008) Arnab Das et al.   REVIEWS OF MODERN PHYSICS