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Learn advanced quantum error mitigation techniques through a comprehensive conference talk that demonstrates building sophisticated error correction methods using Qiskit's Simplatic, Samplex, and executive frameworks. Explore the implementation of probabilistic error cancellation (PEC) with modular components including circuit boxing, noise learning, sampling, and expectation value reconstruction. Discover two innovative methods: shaded light cones for identifying relevant noise terms and reducing PEC sampling overhead, and propagated noise absorption for integrating inverse noise into observables through Pauli propagation. Master the use of open-source tools designed for flexible and customizable quantum error mitigation workflows, with practical demonstrations of how these techniques can be applied to improve quantum computation reliability and accuracy.
