In this mini course you will learn about the characterization of noise in qubits and quantum gates.
The lectures will be given by Arghavan Safavi-Naini (QuSoft, IoP, UvA) and Jonas Helsen (QuSoft, CWI).
1. The basics of noise in quantum computation, and different metrics (such as fidelity, diamond distance, unitarity) to quantify noise.
2. Standard characterization protocols like state and process tomography.
3. More modern protocols such as randomized benchmarking and gate set tomography, how they solve certain problems the standard approaches have, and how to interpret their output.
4. Shadow tomography in the Huang-Kueng-Preskill sense. Why it works (even though it shouldn’t) and what you can do with it.
5. Trapped-ion quantum computers: what makes a good qubit, how do we address qubits, and how to make gates.
6. Quantum simulation in atomic, molecular, and optical systems.
7. Modeling experiments: open quantum systems, quantum trajectories, and phase space techniques.