Exact spectral minimax formulation converts direct fidelity estimation into a semidefinite program that outperforms the OASIS surrogate under depolarizing noise in simulations.
Predicting many properties of a quantum system from very few measurements
4 Pith papers cite this work. Polarity classification is still indexing.
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Partial transpose moments can be estimated online exactly in subcubic time per shot via column-pair sweeps on locally factorized Pauli snapshots.
An integrated neural compression and Cholesky quantum encoding method achieves robust reconstruction and classification performance in noisy quantum channels while bypassing full density matrix reconstruction.
Z-only measurements classify small IQP, Clifford, and Clifford+T circuits with up to 0.91 accuracy and outperform classical shadows, but all four strategies drop to chance level above 12 qubits with quadratic shots.
citing papers explorer
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Spectral Minimax Direct Fidelity Estimation for Generic Target States
Exact spectral minimax formulation converts direct fidelity estimation into a semidefinite program that outperforms the OASIS surrogate under depolarizing noise in simulations.
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Online Estimation of Partial Transpose Moments via Fast Classical Updates
Partial transpose moments can be estimated online exactly in subcubic time per shot via column-pair sweeps on locally factorized Pauli snapshots.
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End-to-End Neural and Quantum Transcoding for Compressed Latent Representation under Channel Noise
An integrated neural compression and Cholesky quantum encoding method achieves robust reconstruction and classification performance in noisy quantum channels while bypassing full density matrix reconstruction.
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Polynomial Resource Classification of Quantum Circuit Familes via Classical Shadows
Z-only measurements classify small IQP, Clifford, and Clifford+T circuits with up to 0.91 accuracy and outperform classical shadows, but all four strategies drop to chance level above 12 qubits with quadratic shots.