Robust online Hamiltonian learning
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Publication:5137742
DOI10.1088/1367-2630/14/10/103013zbMath1448.68373OpenAlexW2595654587WikidataQ60307419 ScholiaQ60307419MaRDI QIDQ5137742
Christopher E. Granade, Nathan Wiebe, Christopher Ferrie, David G. Cory
Publication date: 2 December 2020
Published in: New Journal of Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1088/1367-2630/14/10/103013
Learning and adaptive systems in artificial intelligence (68T05) Quantum state estimation, approximate cloning (81P50)
Related Items (12)
Quantum parameter identification for a chaotic atom ensemble system ⋮ Decoding quantum field theory with machine learning ⋮ Adaptive quantum state tomography with iterative particle filtering ⋮ Structured filtering ⋮ Practical adaptive quantum tomography ⋮ Near-optimal quantum tomography: estimators and bounds ⋮ Quantum model averaging ⋮ Accelerated randomized benchmarking ⋮ Quantum bootstrapping via compressed quantum Hamiltonian learning ⋮ High posterior density ellipsoids of quantum states ⋮ Practical Bayesian tomography ⋮ Optimal Design for Estimation in Diffusion Processes from First Hitting Times
Uses Software
Cites Work
- Intrinsic credible regions: an objective Bayesian approach to interval estimation (with comments and rejoinder)
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- Simulation-based Bayesian optimal design of aircraft trajectories for air traffic management
- On a Measure of the Information Provided by an Experiment
- The learnability of quantum states
- The quickhull algorithm for convex hulls
- Equivalences and Separations Between Quantum and Classical Learnability
- Quantum State Estimation
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