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This research introduces an efficient protocol for reconstructing arbitrary sparse Markovian generators in open quantum systems using only product Pauli measurements. By eliminating the need for ancillas, entangled probes, or mid-circuit control, this method significantly lowers hardware overheads required for benchmarking and error mitigation on near-term devices. The approach offers a robust framework to fully characterize both Hamiltonian dynamics and noise jump operators without assuming prior knowledge of interaction structures.
Characterizing Arbitrary Lindbladian Dynamics with a Few Pauli Measurements
arXiv:2607.23044v1 Announce Type: new Abstract: Quantum devices are open systems whose dynamics interleave coherent evolution with dissipation, and benchmarking, error mitigation, and error correction all rest on a faithful model of both. Existing characterization protocols either assume prior knowledge of the interaction and noise structure, or demand ancillas, entangled probes, or mid-circuit control, or capture only the Pauli-diagonal part of the noise. Here, we present a protocol that reconstructs an arbitrary sparse Markovian generator, including every Hamiltonian together with the jump operator coefficients, using only product Pauli state preparation, single uninterrupted forward evolutions, and product Pauli measurements. Given a sparsity budget $M_0$ and a strength bound $\Gamma$ of the Lindbladian, every coefficient is learned to precision $\epsilon$ from $\widetilde{O}(\Gamma^2M_0^2/\epsilon^4)$ experiments and $\widetilde{O}(\Gamma M_0^2/\epsilon^2)$ total evolution time, with both supports identified from data without locality assumptions. The protocol runs at a logarithmic number of positive evolution times on a hardware clock lattice and is provably robust to calibrated state-preparation and measurement errors.
Abstract:Quantum devices are open systems whose dynamics interleave coherent evolution with dissipation, and benchmarking, error mitigation, and error correction all rest on a faithful model of both. Existing characterization protocols either assume prior knowledge of the interaction and noise structure, or demand ancillas, entangled probes, or mid-circuit control, or capture only the Pauli-diagonal part of the noise. Here, we present a protocol that reconstructs an arbitrary sparse Markovian generator, including every Hamiltonian together with the jump operator coefficients, using only product Pauli state preparation, single uninterrupted forward evolutions, and product Pauli measurements. Given a sparsity budget $M_0$ and a strength bound $\Gamma$ of the Lindbladian, every coefficient is learned to precision $\epsilon$ from $\widetilde{O}(\Gamma^2M_0^2/\epsilon^4)$ experiments and $\widetilde{O}(\Gamma M_0^2/\epsilon^2)$ total evolution time, with both supports identified from data without locality assumptions. The protocol runs at a logarithmic number of positive evolution times on a hardware clock lattice and is provably robust to calibrated state-preparation and measurement errors.
Quantum Physics (quant-ph); Information Theory (cs.IT); Machine Learning (cs.LG)
arXiv:2607.23044 [quant-ph]
(or arXiv:2607.23044v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2607.23044 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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