{"product_id":"9783030830977","title":"Machine Learning with Quantum Computers (2ND)","description":"\u003cp\u003e§16§§This book offers an introduction into quantum machine learning research, §04§§Chapter 1. Introduction.- Chapter 2. Machine Learning.- Chapter 3. Quantum Computing.- Chapter 4. Representing Data on a Quantum Computer.- Chapter 5. Variational Circuits as Machine Learning Models.- Chapter 6. Quantum Models as Kernel Methods.- Chapter 7. Fault-Tolerant Quantum Machine Learning.- Chapter 8. Approaches Based on the Ising Model.- Chapter 9. Potential Quantum Advantages.§ §02§§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. §                §\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":46379615584335,"sku":"00000_00000_00000_00000","price":4900.0,"currency_code":"TWD","in_stock":false}],"url":"https:\/\/kinokuniya.com.tw\/products\/9783030830977","provider":"Books Kinokuniya Taiwan","version":"1.0","type":"link"}