The Hardware of a Quantum Computer
Delft University of Technology (QuTech)
2 courses · 6 tutorials
Delft University of Technology (QuTech)
JQI Faculty, University of Maryland
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.