Quantum machine learning : quantum algorithm and neural networks / edited by Perthuru Raj . . . [et al.]

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TextSeries: Quantum computingPublication details: Berlin : De Gruyter, 2024Description: viii, 326 pISBN:

9783111342092

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DDC classification:

006.31 QUA-

Summary: Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers. This volume focuses on quantum variants of machine learning algorithms, such as quantum neural networks, quantum reinforcement learning, quantum principal component analysis, quantum support vectors, quantum Boltzmann machines, and many more

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Books

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Current library	Call number	Status	Barcode
UMT Main Campus	006.31 QUA- (Browse shelf(Opens below))	Available	153357

Includes bibliographical references and index.

Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers. This volume focuses on quantum variants of machine learning algorithms, such as quantum neural networks, quantum reinforcement learning, quantum principal component analysis, quantum support vectors, quantum Boltzmann machines, and many more

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