Simultaneous Quantum Machine Learning Training and Architecture Discovery

2020/09/13 by Dominic Pasquali, Pasquali, Dominic · 1 citation
Computer Science · #Computability, Logic, AI Algorithms #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)

paper · pdf · doi:10.48550/arxiv.2009.06093

openalex publication_date 2020/09/13 · openalex created_date 2020/09/21 · openalex updated_date 2026/07/28

Abstract

With the onset of gated quantum machine learning, the architecture for such a system is an open question. Many architectures are created either ad hoc or are directly analogous from known classical architectures. Presented here is a novel algorithm which learns a gated quantum machine learning architecture while simultaneously learning its parameters. This proof of concept and some of its variations are explored and discussed.

Citations

• Approximation by Quantum Circuits
• Quantum convolutional neural networks
• Decomposition of unitary matrices and quantum gates
• PyTorch: An Imperative Style, High-Performance Deep Learning Library

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