Photons play a central role in many areas of quantum information science, either as qubit themselves or to mediate interactions between long-lived matter based qubits. Techniques for (1) high-fidelity generation, (2) precise manipulation and (3) ultra-efficient detection of quantum states of light are therefore a prerequisite for virtually all quantum technologies. A quantum photonic processor is the union of these three core technologies into a single system, and, bolstered by advances in integrated photonics, promises to be a versatile platform for quantum information science and beyond. In this talk I present recent progress towards large-scale quantum photonic processors and demonstrate how such systems enable new applications at the nexus of quantum mechanics and machine learning.
Jacques Carolan is a Marie Skłodowska-Curie Global Fellow at the Niels Bohr Institute at the University of Copenhagen. He received his PhD from the Centre for Quantum Photonics at the University of Bristol in 2015, then joined the Quantum Photonics Laboratory at MIT as a Postdoctoral Fellow in 2016.