Corpus ID: 229303368

Adaptive filtering of projective quantum measurements using discrete stochastic methods.

@article{Gupta2020AdaptiveFO,
  title={Adaptive filtering of projective quantum measurements using discrete stochastic methods.},
  author={R. Gupta and M. Biercuk},
  journal={arXiv: Quantum Physics},
  year={2020}
}

• R. Gupta, M. Biercuk
• Published 2020
• Physics, Computer Science
• arXiv: Quantum Physics

Adaptive filtering is a powerful class of control theoretic concepts useful in extracting information from noisy data sets or performing forward prediction in time for a dynamic system. The broad utilization of the associated algorithms makes them attractive targets for similar problems in the quantum domain. To date, however, the construction of adaptive filters for quantum systems has typically been carried out in terms of stochastic differential equations for weak, continuous quantum… Expand

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