Diagrammatic Differentiation for Quantum Machine Learning-Reference-Cited by-同舟云学术

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Diagrammatic Differentiation for Quantum Machine Learning

Published:2021-09-18 Issue: Volume:343 Page:132-144
ISSN:2075-2180
Container-title:Electronic Proceedings in Theoretical Computer Science
language:en
Short-container-title:Electron. Proc. Theor. Comput. Sci.

Author:

Toumi Alexis¹,Yeung Richie²,de Felice Giovanni¹

Affiliation:

1. University of Oxford

2. Cambridge Quantum Computing Ltd.

Publisher

Open Publishing Association

Reference41 articles.

1. Categorical Quantum Mechanics;Abramsky;arXiv:0808.1023 [quant-ph],2008

2. There and Back Again: A Circuit Extraction Tale;Backens;arXiv:2003.01664 [quant-ph],2020

3. Parameterized Quantum Circuits as Machine Learning Models;Benedetti;arXiv:1906.07682 [quant-ph],2019

4. Differential Categories;Blute;Mathematical Structures in Computer Science,2006

5. Graphical Structures for Design and Verification of Quantum Error Correction;Chancellor;arXiv:1611.08012 [quant-ph],2018

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1. The advent of quantum computer music: mapping the field;Reports on Progress in Physics;2024-07-24

2. Addition and Differentiation of ZX-diagrams;Logical Methods in Computer Science;2024-05-20

3. Diagrammatic Analysis for Parameterized Quantum Circuits;Electronic Proceedings in Theoretical Computer Science;2023-11-16

4. Light-Matter Interaction in the ZXW Calculus;Electronic Proceedings in Theoretical Computer Science;2023-08-30

5. Differential 2-rigs;Electronic Proceedings in Theoretical Computer Science;2023-08-07

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