Quantum computing is a revolutionary field that leverages quantum mechanics to solve problems beyond classical computers. Here are essential resources to get started:
📚 Learning Pathways
- 入门教程
IBM Quantum Experience offers interactive quantum circuits and tutorials.
Qiskit Textbook provides a comprehensive guide to quantum algorithms. - 在线课程
MIT OpenCourseWare has free lecture notes on quantum theory.
Coursera - Quantum Computing Specialization by University of Colorado Boulder. - 书籍推荐
Quantum Computing for Everyone by Chris Bernhardt (🔗 Buy on Amazon)
Quantum Computation and Quantum Information by Nielsen and Chuang (🔗 Read here)
🔧 Tools & Frameworks
- Simulation Platforms
Cirq (Google's open-source quantum algorithm library)
Forest (Rigetti's quantum computing framework) - Development Kits
Qiskit (IBM's Python framework for quantum computing)
Pennylane (Quantum machine learning library with support for multiple backends) - Cloud Access
IBM Quantum Cloud (Access real quantum processors)
Google Quantum AI Lab (Explore quantum algorithms and experiments)
📖 Academic Papers
- Foundational Research
Shor's Algorithm (1994) - Quantum factorization breakthrough.
Grover's Algorithm (1996) - Quantum search optimization. - Recent Advances
Quantum Supremacy (2019) - Google's milestone in quantum computing.
Error-Corrected Quantum Computing (2022) - Key research for scalable systems.
🧭 Expand Your Knowledge
For a deeper dive into quantum computing fundamentals, visit our Quantum Computing Introduction guide.