Quantum photonics enhanced by machine-learning tools

Project of Prof. Dr. Stefanie Barz (FMQ), Prof. Dr. Cristina Tarín (ISYS)

One challenge in quantum photonics is the generation of pure multipartite states with a high fidelity. Usually, single photons or entangled photon pairs are generated and enter a linear-optical circuit, which transforms this input state to the desired output state. In realistic systems, imperfections arise on the level of state preparation, in the manipulation of quantum states through linear circuits, and in non-ideal measurements of the quantum state.

The goal of this project is on generating multiphoton states for quantum communication, quantum computing, and quantum metrology. We will focus on combining integrated optics with control theoretic approaches and machine learning to achieve high-quality quantum states even in noisy conditions and with imperfect devices.

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