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Algorithmus
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B01=Ashish Mani
B01=Elizabeth Behrman
B01=Indrajit Pan
B01=Siddhartha Bhattacharyya
B01=Sourav De
B01=Susanta Chakraborti
Category1=Non-Fiction
Category=UYQM
COP=Germany
Delivery_Delivery within 10-20 working days
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Language_English
PA=Available
Price_€100 and above
PS=Active
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Product details
- ISBN 9783110670646
- Weight: 357g
- Dimensions: 240 x 170mm
- Publication Date: 08 Jun 2020
- Publisher: De Gruyter
- Publication City/Country: DE
- Product Form: Hardback
- Language: English
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Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system.
While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices.
Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Susanta Chakraborti, India. Elizabeth Behrman, USA.
