Quadrature histograms in maximum likelihood quantum state tomography

Presenting Author: Hilma Vasconcelos, National Institute of Standards and Technology, Boulder
Contributing Author(s): Jose Leonardo Silva, Scott Glancy

Quantum state tomography (QST) aims to determine the state of a quantum system from measured data and is an essential tool in quantum information. For continuous variable systems, such as quantum states of light, QST is often done by measuring statistics of the field amplitudes (or "quadratures") at different phases using homodyne detection. The quadrature-phase measurement outputs a continuous variable, and this can result in a very large data set and long computation time to reconstruct the state. However, one can histogram the continuous measurements into a small number of bins and make the reconstruction faster without losing too much information. We investigate different ways to determine the quadrature histogram bins for optical homodyne QST and show that high fidelity reconstruction can be maintained while significantly reducing the computation time.

(Session 5 : Thursday from 5:00pm - 7:00 pm)


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