Machine Learning with Quantum Computers

Author:   Maria Schuld ,  Francesco Petruccione
Publisher:   Springer Nature Switzerland AG
Edition:   2nd ed. 2021
ISBN:  

9783030831004


Pages:   312
Publication Date:   19 October 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Machine Learning with Quantum Computers


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Author:   Maria Schuld ,  Francesco Petruccione
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2nd ed. 2021
Weight:   0.504kg
ISBN:  

9783030831004


ISBN 10:   3030831000
Pages:   312
Publication Date:   19 October 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Maria Schuld works as a researcher for the Toronto-based quantum computing start-up Xanadu. She received her Ph.D. from the University of KwaZulu-Natal in 2017, where she began working on the intersection between quantum computing and machine learning in 2013. Besides her numerous contributions to the field, she is a co-developer for the open-source quantum machine learning software framework PennyLane.  Francesco Petruccione received his Ph.D. (1988) and “Habilitation” (1994) from the University of Freiburg, Germany. Since 2004, he has been a professor of Theoretical Physics at the University of KwaZulu-Natal in Durban, South Africa, where in 2007, he was granted a South African Research Chair for Quantum Information Processing and Communication. He is the co-author of “The Theory of Open Quantum Systems” (Oxford University Press, 2002) and has published more than 250 papers in refereed journals. Francesco Petruccione’s research focuses on open quantum systems and quantum information processing and communication.

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