Practical Bayesian tomography

  title={Practical Bayesian tomography},
  author={Christopher Granade and J. Combes and D. G. Cory},
  journal={New Journal of Physics},
  • Christopher Granade, J. Combes, D. G. Cory
  • Published 2016
  • Physics, Mathematics
  • New Journal of Physics
  • Christopher Granade,1, 2, ∗ Joshua Combes,3, 4, 5 and D. G. Cory3, 5, 6, 7 1Centre for Engineered Quantum Systems, University of Sydney, Sydney, NSW, Australia 2School of Physics, University of Sydney, Sydney, NSW, Australia 3Institute for Quantum Computing, University of Waterloo, Waterloo, ON, Canada 4Department of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada 5Perimeter Institute for Theoretical Physics, 31 Caroline St. N, Waterloo, Ontario, Canada N2L 2Y5 6Department of… CONTINUE READING

    Figures from this paper.


    Publications referenced by this paper.
    On sequential Monte Carlo sampling methods for Bayesian filtering
    • 4,379
    • Highly Influential
    • PDF
    CONDENSATION—Conditional Density Propagation for Visual Tracking
    • 5,384
    • Highly Influential
    • PDF
    A Tutorial on Particle Filtering and Smoothing: Fifteen years later
    • 1,630
    • PDF
    QuTiP 2: A Python framework for the dynamics of open quantum systems
    • 682
    • PDF
    Prescription for experimental determination of the dynamics of a quantum black box
    • 520
    • PDF
    Ancilla-assisted quantum process tomography.
    • 201
    • PDF
    Efficient quantum state tomography.
    • 239
    • Highly Influential
    • PDF
    Quantum tomography via compressed sensing: error bounds, sample complexity and efficient estimators
    • 205
    • PDF
    Reliable quantum state tomography.
    • 113
    • PDF