Topic
2 courses · 7 tutorials
Quantum algorithms
QuantumComputingCourses
Eight modules after Quantum Computing 101. Where Grover and Shor get a speedup, what noise does on hardware, and what the transpiler changes before a circuit runs.
edX
Lieven Vandersypen and QuTech researchers (TU Delft)
How a quantum computer is built and driven, from Delft. Superconducting qubits, trapped ions, and the other platforms on the syllabus.
The Bloch sphere is a map with edges. This final part covers what measurement does to the arrow, why real qubits drift inside the ball, and why an entangled qubit has no arrow at all.
Cut noise on NISQ devices with PennyLane: implement zero-noise extrapolation and probabilistic error cancellation, with a working example that beats the unmitigated baseline.
Learn to simulate realistic quantum noise in PyQuil using Kraus operators, depolarizing channels, and T1/T2 decoherence models. Compare ideal and noisy Bell state results on the QVM.
Model realistic quantum hardware noise in Cirq: depolarizing channels, amplitude damping, bit-flip channels, and using DensityMatrixSimulator for noisy circuit simulation.
Understand density matrices, mixed states, and the partial trace. Essential for reasoning about noise, decoherence, and real hardware, with working Qiskit examples.
Step-by-step Qiskit noise model with depolarizing channels, T1/T2 decay, and readout error. Includes importing real IBM backend calibrations so simulations match hardware.
What decoherence is physically, how T1 and T2 times characterise it, and why it is the central engineering problem of quantum computing. Includes Qiskit simulation of decoherence effects.