All-Optical Scalable Spatial Coherent Ising Machine

被引:20
|
作者
Strinati, Marcello Calvanese [1 ]
Pierangeli, Davide [1 ,2 ]
Conti, Claudio [1 ,2 ,3 ]
机构
[1] Sapienza Univ Rome, Phys Dept, I-00185 Rome, Italy
[2] Natl Res Council ISC CNR, Inst Complex Syst, I-00185 Rome, Italy
[3] Ctr Ric Enrico Fermi CREF, Via Panisperna 89a, I-00184 Rome, Italy
基金
欧盟地平线“2020”;
关键词
NETWORK;
D O I
10.1103/PhysRevApplied.16.054022
中图分类号
O59 [应用物理学];
学科分类号
摘要
Networks of optical oscillators simulating coupled Ising spins have been recently proposed as a heuris-tic platform to solve hard optimization problems. These networks, called coherent Ising machines (CIMs), exploit the fact that the collective nonlinear dynamics of coupled oscillators can drive the system close to the global minimum of the classical Ising Hamiltonian, encoded in the coupling matrix of the network. To date, realizations of large-scale CIMs have been demonstrated using hybrid optical-electronic setups, where optical oscillators simulating different spins are subject to electronic feedback mechanisms emulat-ing their mutual interaction. While the optical evolution ensures an ultrafast computation, the electronic coupling represents a bottleneck that causes the computational time to severely depend on the system size. Here, we propose an all-optical scalable CIM with fully programmable coupling. Our setup consists of an optical parametric amplifier with a spatial light modulator (SLM) within the parametric cavity. The spin variables are encoded in the binary phases of the optical wave front of the signal beam at different spatial points, defined by the pixels of the SLM. We first discuss how different coupling topologies can be achieved by different configurations of the SLM, and then benchmark our setup with a numerical sim-ulation that mimics the dynamics of the proposed machine. In our proposal, both the spin dynamics and the coupling are fully performed in parallel, paving the way towards the realization of size-independent ultrafast optical hardware for large-scale computation purposes.
引用
收藏
页数:7
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