Ryan Hamerly, Takahiro Inagaki
Physical annealing systems provide heuristic approaches to solving NP-hard Ising optimization problems. Here, we study the performance of two types of annealing machines—a commercially available quantum annealer built by D-Wave Systems, and measurement-feedback coherent Ising machines (CIMs) based on optical parametric oscillator networks—on two classes of problems, the Sherrington-Kirkpatrick (SK) model and MAX-CUT. The D-Wave quantum annealer outperforms the CIMs on MAX-CUT on regular graphs of degree 3. On denser problems, however, we observe an exponential penalty for the quantum annealer (exp(−α_DW*N²)) relative to CIMs (exp(−α_CIM*N)) for fixed anneal times, on both the SK model and on 50%-edge-density MAX-CUT, where the coefficients α_CIM and α_DW are problem-class-dependent. On instances with over 50 vertices, several-orders-of-magnitude improvements in performance are identified, establishing better benchmarks for quantum annealing machines.
@article{b57794d1-226d-4349-b3fd-94af3766fb31,
title={Experimental investigation of performance differences between Coherent Ising Machines and a quantum annealer},
author={Ryan Hamerly and Takahiro Inagaki},
year={2019},
language={en}
}TY - JOUR TI - Experimental investigation of performance differences between Coherent Ising Machines and a quantum annealer AU - Ryan Hamerly AU - Takahiro Inagaki PY - 2019 LA - en ER -
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