4 papers
Reinforcement Learning for Optimal Control of Spin Magnetometers
Logan W. Cooke, Stefanie Czischek
Quantum optimal control in the presence of decoherence is difficult, particularly when not all Hamiltonian parameters are known precisely, as in quantum sensing applications. In th…
Fast and Automated Optical Polarization Compensation of Fiber Unitaries
Niklas Braband, Arman Mansouri, Riza Fazili +2
The polarization of light is critical in various applications, including quantum communication, where the photon polarization encoding a qubit can undergo uncontrolled changes when…
End-to-end variational quantum sensing
Benjamin MacLellan, Piotr Roztocki, Stefanie Czischek +1
Harnessing quantum correlations can enable sensing beyond the classical limits of precision, with the realization of such sensors poised for transformative impacts across science a…
Variational Monte Carlo with Large Patched Transformers
Kyle Sprague, Stefanie Czischek
Large language models, like transformers, have recently demonstrated immense powers in text and image generation. This success is driven by the ability to capture long-range correl…