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Found 6 papers, 1 papers with code
Classifying single-qubit noise using machine learning
Quantum characterization, validation, and verification (QCVV) techniques are used to probe, characterize, diagnose, and detect errors in quantum information processors (QIPs).
Recovering quantum gates from few average gate fidelities
For the important case of characterising multi-qubit unitary gates, we provide a rigorously guaranteed and practical reconstruction method that works with an essentially optimal number of average gate fidelities measured respect to random Clifford unitaries.
Quantum Physics Information Theory Information Theory
Exponential improvements for quantum-accessible reinforcement learning
Quantum computers can offer dramatic improvements over classical devices for data analysis tasks such as prediction and classification.
A Spectral Algorithm for Latent Dirichlet Allocation
This work provides a simple and efficient learning procedure that is guaranteed to recover the parameters for a wide class of topic models, including Latent Dirichlet Allocation (LDA).
Universal low-rank matrix recovery from Pauli measurements
We study the problem of reconstructing an unknown matrix M of rank r and dimension d using O(rd polylog d) Pauli measurements.
