Uploaded December 2025 | Updated September 2026, 1 week ago
In this talk, Andrew Eddins presents two new error mitigation tools built on classical Pauli propagation simulations: shaded light cones and propagated noise absorption (PNA). He first motivates why error mitigation will remain important even in the fault tolerant era, reviews probabilistic error cancellation (PEC), and explains how Pauli propagation can efficiently estimate how individual noise terms affect observables. Shaded light cones use these bounds to ignore low impact errors and dramatically cut PEC sampling overhead, while PNA classically folds inverse noise into a modified observable so the QPU runs a standard noisy circuit with lower variance. Together they show how combining HPC based Pauli propagation with noisy QPUs can significantly extend the reach of error mitigated quantum experiments.
In this talk, Andrew Eddins presents two new error mitigation tools built on classical Pauli propagation simulations: shaded light cones and propagated noise absorption (PNA). He first motivates why error mitigation will remain important even in the fault tolerant era, reviews probabilistic error cancellation (PEC), and explains how Pauli propagation can efficiently estimate how individual noise terms affect observables. Shaded light cones use these bounds to ignore low impact errors and dramatically cut PEC sampling overhead, while PNA classically folds inverse noise into a modified observable so the QPU runs a standard noisy circuit with lower variance. Together they show how combining HPC based Pauli propagation with noisy QPUs can significantly extend the reach of error mitigated quantum experiments.
