Protocol learns k-local Lindbladians to ε accuracy with Õ(n^{2k}/ε²) samples and projects to valid generators; improves to log n under sparsity assumptions.
Title resolution pending
5 Pith papers cite this work. Polarity classification is still indexing.
fields
quant-ph 5years
2026 5representative citing papers
A provable exponential quantum-classical learning separation is established for predicting expectation values of time-evolved quantum states under unknown low-intersection Hamiltonians, assuming BQP ⊄ P/poly.
An iterative Fourier-based algorithm learns constant-local Lindbladian coefficients from non-adaptive Pauli measurements with near-optimal sample complexity and without prior knowledge of the interaction graph.
A randomised measurement protocol enables observation of a disorder-induced entanglement transition from chaotic to localised dynamics in a neutral atom quantum processor.
A complete workflow for pairwise extraction of Liouvillian coefficients from randomized measurements is described for two-body long-range interactions with single-body noise, including parameter guidelines to minimize reconstruction error.
citing papers explorer
-
Robust Structure Learning of $k$-local Lindbladians
Protocol learns k-local Lindbladians to ε accuracy with Õ(n^{2k}/ε²) samples and projects to valid generators; improves to log n under sparsity assumptions.
-
Provable learning separation for predicting time-evolution of quantum many-body systems
A provable exponential quantum-classical learning separation is established for predicting expectation values of time-evolved quantum states under unknown low-intersection Hamiltonians, assuming BQP ⊄ P/poly.
-
Learning the structure of open quantum systems
An iterative Fourier-based algorithm learns constant-local Lindbladian coefficients from non-adaptive Pauli measurements with near-optimal sample complexity and without prior knowledge of the interaction graph.
-
Randomised measurements of a disorder-induced entanglement transition in a neutral atom quantum processor
A randomised measurement protocol enables observation of a disorder-induced entanglement transition from chaotic to localised dynamics in a neutral atom quantum processor.
-
Pairwise Liouvillian learning from randomized measurements: practical aspects and guidelines for operating the protocol in large-scale experiments
A complete workflow for pairwise extraction of Liouvillian coefficients from randomized measurements is described for two-body long-range interactions with single-body noise, including parameter guidelines to minimize reconstruction error.