Algorithmics, Quantum Informatics, and Financial Technology

Wide-ranging investigations on a variety of different mathematical and theoretical aspects of information processing.

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Algorithmics, Quantum Informatics, and Financial Technology 

We pursue wide-ranging investigations on a variety of different mathematical and theoretical aspects of information processing.

Research in algorithmics and combinatorics and quantum information, quantum computing, and quantum foundations. As well as research in financial technology, financial economics and financial mathematics. 

People 

  • Dr Golnaz Badkobeh
  • Dr Raju Chinthalapati
  • Dr Matty Hoban 
  • Prof Lane Hughston
  • Dr Antony Milne
  • Dr Ida Pu 

Recent Highlights

Dr Matty Hoban is funded by an FQXi large grant. The project aims to develop new causal discovery techniques for quantum systems. Causal discovery algorithms have been developed within a framework of causal networks (based on probabilistic reasoning with directed acyclic graphs) where the network represents observed data and causes between them. The goal is to find the causal relationships between observed data given the statistics of this data. 

Dr Golnaz Badkobeh is funded by a grant from the London Mathematical Society. 

June 2020 - Matty Hoban's paper "Complexity of Compatible Measurements" with (P. Skrzypczyk, A. B. Sainz and N. Linden) was published in Physical Review Research. The reference is: P. Skrzypczyk, M. J. Hoban, A. B. Sainz & N. Linden (2020) Complexity of Compatible Measurements, Phys. Rev. Research 2, 023292 

Research Groups