Quantum Computation and Quantum Information by Nielsen and Chuang is the foundational text, covering algorithms, cryptography, and computational complexity.
Quantum Computing for Everyone by Chris Bernhardt simplifies quantum concepts using visualizations, basic math, and clear explanations for beginners.
Dancing with Qubits by Robert Sutor explains quantum algorithms, gates, and circuits, bridging theory with real-world applications in technology.
Quantum Computing Since Democritus by Scott Aaronson explores quantum theory, complexity, and philosophy, making abstract concepts approachable and thought-provoking.
Quantum Mechanics and Path Integrals by Richard Feynman introduces path integral formulation, vital to understanding principles underlying quantum computation.
An Introduction to Quantum Computing by Phillip Kaye, Raymond Laflamme, and Michele Mosca covers algorithms, error correction, and fundamental theory.
Quantum Machine Learning by Peter Wittek connects quantum computing with machine learning, exploring hybrid models and potential applications.
Quantum Computing: An Applied Approach by Jack Hidary emphasizes practical coding, algorithms, and applications with examples using Qiskit framework.
Quantum Physics for Beginners by Jason Stephenson introduces quantum mechanics’ core principles with simplified explanations aimed at curious non-specialists.