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Quantum annealing (QA) is a heuristic algorithm for finding low-energy configurations of a system, with applications in optimization, machine learning, and quantum simulation.
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T. Albash and D. A. Lidar, Demonstration of a Scaling Advantage for a Quantum Annealer over Simulated Annealing
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M. Kounalakis, C. Dickel, A. Bruno, N. K. Langford, and G. A. Steele, Tuneable hopping and nonlinear cross-Kerr interactions in a high-coherence superconducting circuit, npj Quantum Information 4
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