course
The Hardware of a Quantum Computer
Delft University of Technology (QuTech)
2 courses · 6 tutorials
course
Delft University of Technology (QuTech)
course
JQI Faculty, University of Maryland
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.
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.
Understand density matrices, mixed states, and the partial trace. Essential for reasoning about noise, decoherence, and real hardware, with working Qiskit examples.
Model realistic quantum hardware noise in Cirq: depolarizing channels, amplitude damping, bit-flip channels, and using DensityMatrixSimulator for noisy circuit simulation.
Understand how noise affects quantum circuits in the NISQ era and implement zero-noise extrapolation (ZNE) and probabilistic error cancellation using PennyLane.
Build realistic noise models in Qiskit to simulate quantum hardware behavior: depolarizing errors, T1/T2 decay, readout errors, and importing noise from real IBM backends.