[Mathematical Physics Seminar]
George Knee (University of Warwick)
Projected gradient descent algorithms for quantum state and process tomography
Accurate quantum tomography is a vital tool in both fundamental and applied quantum science. It is a task that involves processing a noisy measurement record in order to construct a reliable estimate of an unknown quantum state or process, and is central to quantum computing, metrology, and communication. To date, many different approaches to quantum tomography have been developed, yet no one method fits all applications, and all fail relatively quickly as the dimensionality of the unknown state grows. I will present novel tomography algorithms that use projected gradient descent  and compare their performance with state-of-the-art alternatives, i.e. the diluted iterative algorithm and onvex programming.
 npj Quantum Information 3: 44 (2017) [doi:10.1038/s41534-017-0043-1]
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