Mitiq — error mitigation toolkit
Unitary Fund
Zero-noise extrapolation, probabilistic error cancellation and more, wrapping whichever SDK you already use. The docs are the best practical tutorial on mitigation anywhere.
Advanced · 3 resources
Error mitigation
Post-processing techniques — zero-noise extrapolation, probabilistic error cancellation, readout correction — that recover accurate expectation values from noisy hardware without full error correction, at the cost of extra shots.
Why it matters
It is what people actually do on today’s machines while error correction matures, and it defines what near-term hardware can credibly claim.
After this you will be able to
- Apply ZNE and readout-error mitigation to a real experiment
- Reason about the exponential sampling overhead
- Judge mitigation-based quantum advantage claims critically
Start here
2 best places to start
Hand-picked and ordered. If you only have time for one, take the first.
Quantum Error Mitigation
Cai, Babbush, Benjamin, Endo, Huggins, Li, McClean & O’Brien (2022)
The comprehensive review of mitigation techniques and, crucially, their sampling overheads — the honest accounting of what mitigation costs you in shots.
Also covering this
1 more resource
Unitary Fund
Unitary Fund
A non-profit funding open-source quantum software through microgrants, and running unitaryHACK. A genuine on-ramp to paid contribution work.