Analysis of Higher-Order Ising Hamiltonians
Yunuo Cen, Zhiwei Zhang, Zixuan Wang, Yimin Wang, Xuanyao Fong

TL;DR
This paper introduces IsingSim, a theoretical framework for simulating higher-order Ising models efficiently, enabling better design and understanding of complex Ising machines for industrial applications.
Contribution
It presents a novel, self-customizable simulation framework that decouples Ising spins and gradients, significantly accelerating higher-order Ising model simulations.
Findings
Accelerated simulation speed via bidirectional approach
Verified framework with exact and approximate gradients
Provides design guidelines for higher-order Ising machines
Abstract
It is challenging to scale Ising machines for industrial-level problems due to algorithm or hardware limitations. Although higher-order Ising models provide a more compact encoding, they are, however, hard to physically implement. This work proposes a theoretical framework of a higher-order Ising simulator, IsingSim. The Ising spins and gradients in IsingSim are decoupled and self-customizable. We significantly accelerate the simulation speed via a bidirectional approach for differentiating the hyperedge functions. Our proof-of-concept implementation verifies the theoretical framework by simulating the Ising spins with exact and approximate gradients. Experiment results show that our novel framework can be a useful tool for providing design guidelines for higher-order Ising machines.
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Taxonomy
TopicsQuantum chaos and dynamical systems · Advanced Thermodynamics and Statistical Mechanics
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
