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If you're interested in learning about quantum computing, here are some suggestions for books, series, and free tutorials that can help you get started:

Books:

  1. "Quantum Computing for Computer Scientists" by Noson S. Yanofsky and Mirco A. Mannucci: This book provides a comprehensive introduction to quantum computing, covering both the theoretical and practical aspects of the field.

  2. "Quantum Computation and Quantum Information" by Michael A. Nielsen and Isaac L. Chuang: This highly regarded book covers the fundamentals of quantum computing and quantum information theory, suitable for both beginners and advanced readers.

  3. "Programming Quantum Computers: Essential Algorithms and Code Samples" by Eric R. Johnston, Nic Harrigan, and Mercedes Gimeno-Segovia: This book focuses on the practical implementation of quantum algorithms using programming languages like Q# and Qiskit.

Series:

  1. "Quantum Computing for the Determined" by Michael Nielsen: This YouTube series consists of 18 lectures by Michael Nielsen, one of the authors of the book mentioned above. The series covers the basics of quantum computing and introduces quantum algorithms.

  2. "Quantum Computing for the Curious" by Andy Matuschak and Michael Nielsen: This online series provides interactive tutorials that introduce the core concepts of quantum computing and guide you through quantum experiments using the Quantum Development Kit.

Free Tutorials:

  1. IBM Quantum Experience: IBM offers a free online platform called the IBM Quantum Experience, which allows you to run quantum experiments on real quantum computers. They also provide tutorials and learning resources to help you get started.

  2. Microsoft Quantum Development Kit: Microsoft provides a comprehensive set of learning resources, tutorials, and sample code to help you learn quantum computing using their Quantum Development Kit, which includes a programming language called Q#.

  3. Quantum Computing Playground: This online platform allows you to experiment with quantum circuits and algorithms in a visual and interactive way. It provides a user-friendly interface for learning the basics of quantum computing.

Remember that quantum computing is a complex field, and it's recommended to have a solid understanding of linear algebra, quantum mechanics, and computer science principles before delving into it. The resources mentioned above should provide you with a good starting point on your quantum computing journey.

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