Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Quantum Machine Learning Codebook: Build Hybrid Models with Pennylane, Cirq, and Qiskit in Notebooks

Quantum Machine Learning Codebook: Build Hybrid Models with Pennylane, Cirq, and Qiskit in Notebooks

Wayo, Dennis
Groppe, Sven

Paperback

Series: Springerbriefs in Computer Science

General ComputersProbability & Statistics

PREORDER - Expected ship date February 24, 2027

ISBN10: 3032337844
ISBN13: 9783032337849
Publisher: Springer
Published: Feb 24 2027
Pages: 110
Language: English
div]: bg-bg-000/50 [&_pre>div]: border-0.5 [&_pre>div]: border-border-400 [&_.ignore-pre-bg>div]: bg-transparent [&_.standard-markdown_: is(p, blockquote, h1, h2, h3, h4, h5, h6)]: pl-2 [&_.standard-markdown_: is(p, blockquote, ul, ol, h1, h2, h3, h4, h5, h6)]: pr-8 [&_.progressive-markdown_: is(p, blockquote, h1, h2, h3, h4, h5, h6)]: pl-2 [&_.progressive-markdown_: is(p, blockquote, ul, ol, h1, h2, h3, h4, h5, h6)]: pr-8> _*]: min-w-0 gap-3 standard-markdown> This book covers an end-to-end, build-first path into practical quantum machine learning. It begins with foundational concepts explained in plain language, then moves through trainable variational classifiers, quantum kernel methods, and Born-style generative models. It continues with hybrid deep-learning workflows and simulator-to-hardware transition practices, and concludes with a full capstone and reproducibility playbook. Every chapter is tied to runnable notebooks so readers can execute, modify, and verify each method directly.

Also in

Probability & Statistics

View All