The Quantum Computing Certified Course introduces learners to the revolutionary field of quantum computing, where the principles of quantum mechanics are harnessed to solve complex computational problems beyond the reach of classical computers. This course provides a solid foundation in quantum theory, quantum gates, qubits, quantum algorithms, and quantum circuits.
Module 1: Introduction to Quantum Computing Classical vs. Quantum Computing History and evolution of quantum computing Overview of qubits and quantum systems Applications of quantum computing.
Module 2: Fundamentals of Quantum Mechanics Superposition and entanglement Quantum states and state vectors Dirac notation (bra-kept notation) Measurement and collapse of quantum states.
Module 3: Quantum Gates and Circuits Single-qubit gates: Pauli-X, Y, Z, Hadamard, Phase Multi-qubit gates: CNOT, Tufoli, SWAP Universal gate sets Quantum circuit representation and simulation.
Module 4: Quantum Algorithms – Part 1 Deutsch and Deutsch-Joss algorithms Grover’s Search Algorithm Oracle-based algorithm design Circuit implementation and analysis.
Module 5: Quantum Algorithms – Part 2 Shor’s Algorithm for integer factorization Quantum Fourier Transform (QFT) Phase estimation Period finding.
Module 6: Quantum Programming with Qi skit Introduction to Qi skit and installation Creating and visualizing quantum circuits Simulating circuits using Qi skit Aer Running experiments on IBM Quantum Experience.
Module 7: Quantum Error Correction Types of quantum errors (bit-flip, phase-flip) Error correction codes (Shor code, Stene code) Fault-tolerant computing Decoherence and noise.
Module 8: Quantum Cryptography Basics of quantum communication BB84 Quantum Key Distribution protocol Quantum teleportation Post-quantum cryptography overview.
Module 9: Quantum Machine Learning Introduction to Quantum Machine Learning (QML) Hybrid quantum-classical models Variationally quantum classifiers Tools: Pennyland, Qi skit Machine Learning.
Module 10: Industry Applications and Final Project Quantum computing in finance, chemistry, and logistics Quantum annealing with D-Wave Case studies from IBM, Google, Microsoft Capstone project: Build and run a quantum algorithm on real quantum hardware.
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