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With the advent of large-scale quantum annealing devices, several challenges have emerged.
On the computational complexity of ising spin glass models
Barahona, F · 1982
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Quantum annealing in the transverse ising model
Kadowaki, T. & Nishimori, H · 1998
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A quantum adiabatic evolution algorithm applied to random instances of an NP-Complete problem
Farhi, E. et al · 2001
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Minor-embedding in adiabatic quantum computation: I. the parameter setting problem
Choi, V · 2008
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Experimental investigation of an eight-qubit unit cell in a superconducting optimization processor
Harris, R. et al · 2010
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Quantum annealing with manufactured spins
Johnson, M. W. et al · 2011
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Minor-embedding in adiabatic quantum computation: II. minor-universal graph design
Choi, V · 2011
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Finding low-energy conformations of lattice protein models by quantum annealing
Perdomo-Ortiz, A., Dickson, N., Drew-Brook, M., Rose, G. & Aspuru-Guzik, A · 2012
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Ramsey numbers and adiabatic quantum computing
Gaitan, F. & Clark, L · 2012
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Experimental signature of programmable quantum annealing
Boixo, S., Albash, T., Spedalieri, F. M., Chancellor, N. & Lidar, D. A · 2013
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Architectural considerations in the design of a superconducting quantum annealing processor
Bunyk, P. et al · 2014
Cited alongside, same era.
Defining and detecting quantum speedup
Rønnow, T. F. et al · 2014
Cited alongside, same era.
Error-corrected quantum annealing with hundreds of qubits
Pudenz, K. L., Albash, T. & Lidar, D. A · 2014
Cited alongside, same era.
Evidence for quantum annealing with more than one hundred qubits
Boixo, S. et al · 2014
Cited alongside, same era.
Comment on ”distinguishing classical and quantum models for the d-wave device”
Shin, S. W., Smith, G., Smolin, J. A. & Vazirani, U · 2014
Cited alongside, same era.
Glassy chimeras could be blind to quantum speedup: Designing better benchmarks for quantum annealing machines
Personal communication with T. Lanting. K. Pudenz, and S. Adachi. (2014)
2014
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A quantum annealing approach for fault detection and diagnosis of graph-based systems
Perdomo-Ortiz, A., Fluegemann, J., Narasimhan, S., Biswas, R. & Smelyanskiy, V.N · 2015
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A case study in programming a quantum annealer for hard operational planning problems
Rieffel, E. G. et al · 2015
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Bayesian network structure learning using quantum annealing
O’Gorman, B., Babbush, R., Perdomo-Ortiz, A., Aspuru-Guzik, A. & Smelyanskiy, V · 2015
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Computational role of multiqubit tunneling in a quantum annealer
Boixo, S. et al · 2015
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Reexamining classical and quantum models for the d-wave one processor
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Katzgraber, H. G., Hamze, F. & Andrist, R. S · 2014
Cited alongside, same era.
Quantum optimization of fully-connected spin glasses
Venturelli, D. et al · 2014
Cited alongside, same era.
Algorithm engineering for a quantum annealing platform
King, A. D. & McGeoch, C. C · 2014
Cited alongside, same era.
Construction of Energy Functions for Lattice Heteropolymer Models: Efficient Encodings for Constraint Satisfaction Programming and Quantum Annealing , 201–244 (John Wiley Sons, Inc., 2014)
Babbush, R., Perdomo-Ortiz, A., O’Gorman, B., Macready, W. & Aspuru-Guzik, A · 2014
Cited alongside, same era.
A practical heuristic for finding graph minors
Cai, J., Macready, B. & Roy, A · 2014
Cited alongside, same era.
Albash, T., R√∏nnow, T.F., Troyer, M. & Lidar, D.A · 2015
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Unraveling quantum annealers using classical hardness
Martin-Mayor, V. & Hen, I · 2015
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Probing for quantum speedup in spin glass problems with planted solutions
Hen, I. et al · 2015
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Performance of a quantum annealer on range-limited constraint satisfaction problems
King, A. D · 2015
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Determination of correctable persistent biases in quantum annealers
Perdomo-Ortiz, A. et al · 2015
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