Hard scheduling problems for early quantum annealer
ORAL
Abstract
We present a parameterized family of single machine scheduling problem that exhibits an easy-hard-easy phase transition. As the parameter is varied, the problem goes through a fast transition from being almost trivial to find a solution to almost always has no solution, this sharp transition accompanies a peak in computational effort. While implementing realistic-sized problems on an early quantum annealing device is still a challenge in near future, using a benchmarking problem set of small size but in a well-defined hard family, one can gain insight to a how the solving time scales for the whole family.[1] We will report quantum annealing results on this and other related problems. [1] E. G. Rieffel, D. Venturelli, B. OGorman, M. B. Do, E. M. Prystay, and V. N. Smelyanskiy, Quantum Information Processing 14, 1 (2015).
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Authors
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ZHIHUI WANG
NASA Quantum Artificial Intelligence Laboratory; Univ Space Research Assn
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Tony Tran
NASA Quantum Artificial Intelligence Laboratory
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Bryan O'Gorman
NASA Quantum Artificial Intelligence Laboratory
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Minh Do
NASA Ames Research Center
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Jeremy Frank
NASA Ames Research Center
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Eleanor Rieffel
NASA Ames Research Center, NASA Quantum Artificial Intelligence Laboratory, NASA Ames Research Center