Topic
1 course · 8 tutorials
edX
Fred Chong, Jonathan Baker, Yongshan Ding, Casey Duckering (University of Chicago)
University of Chicago's edX course on NISQ systems: noisy hardware, NISQ algorithms, noise-aware compiling. Four weeks. Audit free. Follows Systems Design I and II.
Cut noise on NISQ devices with PennyLane: implement zero-noise extrapolation and probabilistic error cancellation, with a working example that beats the unmitigated baseline.
Model realistic quantum hardware noise in Cirq: depolarizing channels, amplitude damping, bit-flip channels, and using DensityMatrixSimulator for noisy circuit simulation.
Use Mitiq's zero-noise extrapolation to reduce the impact of hardware noise on expectation values without full quantum error correction.
Understand density matrices, mixed states, and the partial trace. Essential for reasoning about noise, decoherence, and real hardware, with working Qiskit examples.
Use Cirq's tools for simulating Google-style superconducting circuits: fSim gates, GridQubits, device topology, and the cross-entropy benchmarking protocol.
Apply zero-noise extrapolation and measurement error mitigation techniques on Amazon Braket using local and density matrix simulators.
Characterize quantum gates and channels using process tomography in Qiskit. Understand how to reconstruct the process matrix and interpret fidelity results.
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.