Speaker
Mateusz Bawaj
(University of Perugia)
Description
Quantum noise reduction techniques are key to improving gravitational-wave detector sensitivity, yet their design involves tightly coupled parameters typically tuned via skilled human designer.
We propose an end-to-end differentiable programming framework in which the quantum noise reduction chain is modelled as a parametrized simulator, enabling direct computation of gradients of performance metrics (e.g., strain sensitivity) with respect to physical parameters via automatic differentiation. This transforms detector design to a gradient-based optimization problem.
Author
Mateusz Bawaj
(University of Perugia)
Co-authors
Francesco De Marco
(La Sapienza University of Rome and INFN Roma1)
Greta Tosti