Quantum Computing

Understand the quantum Fourier transform, how QFT circuits work, and why it matters for Shor's algorithm, phase estimation, simulation, and quantum security.

Grover's Algorithm explained for professionals: quantum search, quadratic speedup, oracle design, crypto risks, and real limits on current hardware.

Shor's algorithm could break RSA and ECC on a future fault tolerant quantum computer. Learn how it works, why it matters, and how PQC helps.

Quantum algorithms use superposition, entanglement, and interference to solve selected problems in cryptography, simulation, search, and optimization.

Quantum annealing solves optimization problems by mapping choices to energy states, then using quantum tunneling to find low-cost solutions.

Quantum interference explains how quantum algorithms amplify correct answers, suppress wrong ones, and produce speedups in search, factoring, and simulation.

Quantum measurement turns qubit states into classical outcomes, collapses superposition, and shapes algorithms, error correction, and hardware readout.

Quantum decoherence limits qubit lifetimes, circuit depth, error correction, and quantum networks. Learn why it is the central barrier to scalable quantum computing.

Quantum error correction turns noisy physical qubits into reliable logical qubits, making scalable quantum computers and long algorithms possible.

Quantum error correction protects logical qubits from noise using encoding, syndrome measurement, and recovery. Learn the main methods and barriers.

Learn how quantum algorithms use qubits, gates, entanglement, interference, and measurement to solve selected problems faster than classical methods.

Learn what a quantum circuit is, its qubits, gates, measurements, examples, metrics, and real use cases in quantum computing.