Practical Bayesian tomography
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Publication:5854991
DOI10.1088/1367-2630/18/3/033024zbMath1456.81040arXiv1509.03770OpenAlexW2202775496WikidataQ56625294 ScholiaQ56625294MaRDI QIDQ5854991
Christopher E. Granade, Joshua Combes, David G. Cory
Publication date: 12 March 2021
Published in: New Journal of Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1509.03770
Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Quantum state tomography, quantum state discrimination (81P18)
Related Items (12)
Reconstructing a quantum state with a variational autoencoder ⋮ A comparative study of estimation methods in quantum tomography ⋮ Quantum state estimation when qubits are lost: a no-data-left-behind approach ⋮ Adaptive quantum state tomography with iterative particle filtering ⋮ Error regions in quantum state tomography: computational complexity caused by geometry of quantum states ⋮ Practical adaptive quantum tomography ⋮ Learning time-dependent noise to reduce logical errors: real time error rate estimation in quantum error correction ⋮ Pseudo-Bayesian quantum tomography with rank-adaptation ⋮ Ancilla dimension in quantum channel discrimination ⋮ Self-guided quantum state learning for mixed states ⋮ Fast state tomography with optimal error bounds ⋮ Quantum state tomography of multi-qubit systems — a comparative study
Uses Software
Cites Work
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- How to generate random matrices from the classical compact groups
- Random quantum operations
- Completely positive linear maps on complex matrices
- Reconstruction of quantum states of spin systems: From quantum Bayesian inference to quantum tomography
- Linear transformations which preserve trace and positive semidefiniteness of operators
- Induced measures in the space of mixed quantum states
- Purity distribution for generalized random Bures mixed states
- Quantum model averaging
- Quantum bootstrapping via compressed quantum Hamiltonian learning
- The resource theory of stabilizer quantum computation
- High posterior density ellipsoids of quantum states
- On the Optimality of Conditional Expectation as a Bregman Predictor
- Optimal, reliable estimation of quantum states
- Quantum limits to information about states for finite dimensional Hilbert space
- Sequential Monte Carlo methods for diffusion processes
- Quantum tomography via compressed sensing: error bounds, sample complexity and efficient estimators
- Robust online Hamiltonian learning
- Rank-based model selection for multiple ions quantum tomography
- When quantum tomography goes wrong: drift of quantum sources and other errors
- Errors in quantum tomography: diagnosing systematic versus statistical errors
- Optimal error regions for quantum state estimation
- Random Bures mixed states and the distribution of their purity
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