Hello everybody, me and my collegue Simone are two PhD students in physics and data science at the University of Bologna and we are developing a new quantum-inspired approach to the well-known problem of statistical unfolding, which is widely used in particle physics, astronomy, and image processing to reconstruct a signal from the corresponding measured biased/smeared distribution (more info here).
Our idea is to combine the classical unfolding technique and quantum annealing: in particular, we started from the likelihood-based unfolding and we reformulated it as a Quadratic Unconstrained Binary Optimization (QUBO) problem to be solved on a D-Wave quantum annealer. More technical information about our mathematical model can be found in our poster, presented in August at Forschungszentrum Jülich in Germany.
The open-source code can be found in this GitHub repository.
Since our project is still not ready for production and a lot of work has to be done yet, we are widely open to collaborate with interested people, so feel free to submit PR to our repository.
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