Quantum Computing Training equips learners with skills to harness quantum principles, design algorithms, and solve complex problems using quantum hardware and simulators.
Evolution of Quantum Theory and Computing
Quantum vs Classical Computing
Quantum Mechanics Fundamentals (Superposition, Entanglement, Interference)
Key Milestones in Quantum Computing
Current Quantum Hardware Platforms
Qubits and Quantum States
Bloch Sphere Representation
Quantum Gates and Circuits
Measurement and Probability in Quantum Systems
Quantum Parallelism
Quantum Decoherence and Noise
Error Sources in Quantum Systems
Quantum Error Correction Basics
Fault-Tolerant Quantum Computation
Importance of Stability in Quantum Devices
Difference between Classical and Quantum Algorithms
Complexity Classes (P, NP, BQP)
Quantum Speedup Concepts
Oracle-Based Algorithms
Deutsch-Jozsa Algorithm
Grover’s Search Algorithm
Shor’s Factoring Algorithm
Quantum Fourier Transform (QFT)
Quantum Phase Estimation
Types of Qubits (Superconducting, Ion-Trap, Photonic, Topological)
Quantum Chips and Processors
Gate-Based vs Adiabatic Systems
IBM Quantum Systems
Google Sycamore
Rigetti Aspen
IonQ Trapped-Ion Devices
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