Experimental investigation of performance differences between Coherent Ising Machines and a quantum annealer
Ryan Hamerly, Takahiro Inagaki, Peter L. McMahon, Davide Venturelli,, Alireza Marandi, Tatsuhiro Onodera, Edwin Ng, Carsten Langrock, Kensuke, Inaba, Toshimori Honjo, Koji Enbutsu, Takeshi Umeki, Ryoichi Kasahara, Shoko, Utsunomiya, Satoshi Kako, Ken-ichi Kawarabayashi

TL;DR
This study compares the performance of D-Wave quantum annealers and coherent Ising machines (CIMs) on NP-hard problems, revealing that CIMs outperform quantum annealers on denser problem instances, highlighting the importance of connectivity.
Contribution
It provides the first detailed experimental comparison between quantum annealers and CIMs on large, dense Ising problems, emphasizing the impact of connectivity on performance.
Findings
CIMs outperform D-Wave on dense MAX-CUT problems.
Quantum annealer's performance degrades exponentially with problem size.
Connectivity differences significantly affect annealer performance.
Abstract
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 () relative to CIMs () for fixed anneal times, on both the SK model and on 50%-edge-density MAX-CUT, where the coefficients and are problem-class-dependent. On instances with over …
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