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  • Sách/Book


  • Authors: Jack D. Hidary (2019)

  • This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data.

  • Sách/Book


  • Authors: Jack D. Hidary (2019)

  • The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more