Talks

(Tutorials) Lower bounds in learning theory

The signal and the noise: learning with random quantum circuits and other agents of chaos (based on [2] and upcoming work)

Exponentially tighter bounds on limitations of quantum error mitigation

Pseudomagic

A single T-gate makes distribution learning hard

How to learn a quantum state, and how not to (based on [0], [1])

Quantum Algorithm for Petz Map and Pretty-Good Measurements + Quantum Polar Decomposition

Adaptive Quantum State Tomography with neural networks

Robust quantum minimum finding with an application to hypothesis selection