Quantum software frameworks for deep learning

Fillpa Ramos Ferreira; João Paulo Fernandes; Rui Abreu

doi:10.1007/978-3-031-05324-5_15

Quantum software frameworks for deep learning

Fillpa Ramos Ferreira, João Paulo Fernandes, Rui Abreu

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

This chapter presents an overview of two competing frameworks for the development of hybrid quantum-classical deep learning models, Qiskit and Cirq. The target is to provide insight into the selection of the most appropriate tools for users coming from a classical deep learning background that wish to dive into quantum computing.

Original language	English (US)
Title of host publication	Quantum Software Engineering
Publisher	Springer International Publishing
Pages	281-302
Number of pages	22
ISBN (Electronic)	9783031053245
ISBN (Print)	9783031053238
DOIs	https://doi.org/10.1007/978-3-031-05324-5_15
State	Published - Oct 12 2022

ASJC Scopus subject areas

General Computer Science
General Physics and Astronomy

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10.1007/978-3-031-05324-5_15

Cite this

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title = "Quantum software frameworks for deep learning",

abstract = "This chapter presents an overview of two competing frameworks for the development of hybrid quantum-classical deep learning models, Qiskit and Cirq. The target is to provide insight into the selection of the most appropriate tools for users coming from a classical deep learning background that wish to dive into quantum computing.",

author = "Ferreira, {Fillpa Ramos} and Fernandes, {Jo{\~a}o Paulo} and Rui Abreu",

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Quantum software frameworks for deep learning

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ASJC Scopus subject areas

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