2016/09/22 by Shruti Puri, Christian Kraglund Andersen, Arne L. Grimsmo +1 · 6 citations
Computer Science · Physics and Astronomy · #Annealing (glass) #Computer science #Neural Networks and Reservoir Computing #Nonlinear system #Physics #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum annealing #Quantum computer #Quantum mechanics #quant-ph
paper · pdf · doi:10.1038/ncomms15785
published as Nature Communications volume 8, Article number: 15785 (2017)
arxiv created 2016/09/22 · openalex publication_date 2017/06/08 · arxiv updated 2019/01/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Quantum annealing aims at solving combinatorial optimization problems mapped to Ising interactions between quantum spins. Here, with the objective of developing a noise-resilient annealer, we propose a paradigm for quantum annealing with a scalable network of two-photon-driven Kerr-nonlinear resonators. Each resonator encodes an Ising spin in a robust degenerate subspace formed by two coherent states of opposite phases. A fully connected optimization problem is mapped to local fields driving the resonators, which are connected with only local four-body interactions. We describe an adiabatic annealing protocol in this system and analyse its performance in the presence of photon loss. Numerical simulations indicate substantial resilience to this noise channel, leading to a high success probability for quantum annealing. Finally, we propose a realistic circuit QED implementation of this promising platform for implementing a large-scale quantum Ising machine.