To Learn and Cancel Quantum Noise - Zlatko Minev (IBM)

Explore quantum noise cancellation techniques in this 49-minute conference talk from the Noisy Intermediate-Scale Quantum Systems conference. Delve into probabilistic error cancellation using sparse Pauli-Lindblad models on noisy quantum processors. Examine the challenges of ideal versus real quantum circuits, noise unraveling into quantum trajectories, and the process of raveling trajectories to undo noise. Learn about implementing these techniques, generalizing with quasiprobabilities, and simplifying noise through twirling. Discover the protocol overview for ideal Ising model evolution and mitigation sampling overhead. Gain insights into the path to quantum computing and the latest advancements in integrable models from mathematical physics, condensed-matter physics, and string theory perspectives.

Intro
Biggest challenge
Ideal (noise-free) quantum circuit
Real (noisy) quantum circuit
Toy model: noise unraveling into quantum trajectories
Inverse of noise map is not physical
Raveling quantum trajectories to undo noise
How to implement?
Generalizing: Raveling trajectories with quasiprobabilities
Step 1: Simplify the noise: twirl
Step 2: Ideally, amplify the noise and learn
Protocol overview
Ideal Ising model evolution
Mitigation sampling overhead
Path to quantum computing