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Mar, 2018
使用张量网络实现量子机器学习
Towards Quantum Machine Learning with Tensor Networks
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William Huggins, Piyush Patel, K. Birgitta Whaley, E. Miles Stoudenmire
TL;DR
本文提出一种基于张量网络的量子计算方法,用于解决当前在量子计算中机器学习所面临的挑战。在此方法下,经典计算和量子计算可共享同样的理论和算法基础,且张量网络电路在量子计算机模型的训练中具有高效节省的优势,并通过对手写识别模型的数值实验验证了其可行性。
Abstract
machine learning
is a promising application of
quantum computing
, but challenges remain as near-term devices will have a limited number of physical qubits and high error rates. Motivated by the usefulness of
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