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Master, C.P. (2005) Quantum Computing under Real-World Constraints: Efficiency of an Ensemble Quantum Algorithm and Fighting Decoherence by Gate Design. PhD Thesis. Stanford University, Stanford.

has been cited by the following article:

• TITLE: Optimal Estimate of Quantum States

  AUTHORS: Mario Mastriani

  KEYWORDS: Kalman’s Filter, Quantum Algorithms, Quantum Measurement

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.6 No.6, June 28, 2018

  ABSTRACT: An optimal estimator of quantum states based on a modified Kalman’s filter is proposed in this work. Such estimator acts after a state measurement, allowing us to obtain an optimal estimate of the quantum state resulting in the output of any quantum algorithm. This method is much more accurate than other types of quantum measurements, such as, weak measurement, strong measurement, and quantum state tomography, among others.