Akash Kumar Singh shares a comprehensive list of resources to help learners explore the fascinating field of Quantum Computing. Drawing from his experience during his undergraduate and master's years at IISER and DIAT, this compilation includes various courses and materials covering fundamental and advanced topics in Quantum Computing.
This resource is designed for those passionate about Quantum Computing. It includes general advice, courses on quantum algorithms, machine learning, error correction, cryptography, experimental quantum computing, and more. Learning prerequisites such as Linear Algebra and Differential Equations are also recommended.
What It Includes:
1. General Advice
2. Quantum Computing Introduction
3. Classical and Quantum Algorithms
4. Quantum Machine Learning
5. Quantum Error Correction
6. Quantum Information Theory
7. Classical and Post-Quantum Cryptography
8. Experimental Quantum Computing
9. ZX-Calculus
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