Correspondence Between Ising Machines and Neural Networks
Andrew G. Moore
使用Ising模型计算是未来计算技术的核心,如量子退火,糖尿病量子计算和热力学经典计算。 传统上,计算值等同于地面状态。 本文将具有地面状态的计算与自旋平均值进行计算,允许计算在高温下进行。 然后,它引入了Ising设备和神经网络之间的系统对应关系,以及一个简单的方法,可以在Ising类型的硬件上运行训练的前馈神经网络。 最后,提供了一个数学证明,这些实现总是成功的。
Computation with the Ising model is central to future computing technologies like quantum annealing, adiabatic quantum computing, and thermodynamic classical computing. Traditionally, computed values have been equated with ground states. This paper generalizes computation with ground states to computation with spin averages, allowing computations to take place at high temperatures. It then introduces a systematic correspondence between Ising devices and neural networks and a simple method to run...