Photonic Quantum Reservoir Computing – PhotonicQRC
In PhotonicQRC we will implement a disruptive photonic quantum reservoir computer for the first time. Quantum reservoir computing combines novel machine learning with quantum physics: a complex, un-optimized coherent quantum state (the reservoir) is linearly transformed to emulate a target quantum system. The key advantage is that the exponentially scaling dimensionality of quantum physics can be exploited under relaxed, hence more hardware friendly conditions. Based on the unique expertise of the 4 partners, we will experimentally demonstrate networks of >10 electrically-tuned semiconductor quantum dots (TUB) coherently coupled via integrated photonic waveguides using the latest 3D additive fabrication (FEMTO-ST). Comprehensive theoretical investigations on the required coherence-level (Uni Bremen) will be experimentally confirmed based on demonstrated entangled photon sources (SU). PhotonicQRC will investigate fundamental questions and realize a first of its kind quantum computer.
Monsieur Daniel Brunner (INSTITUT FRANCHE-COMTE ELECTRONIQUE MECANIQUE THERMIQUE ET OPTIQUE - SCIENCES ET TECHNOLOGIES)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
LKB Laboratoire Kastler Brossel
TUB Technical University Berlin / Institut für Festkörperphysik
UB University of Bremen / Institute for Theoretical Physics
FEMTO-ST INSTITUT FRANCHE-COMTE ELECTRONIQUE MECANIQUE THERMIQUE ET OPTIQUE - SCIENCES ET TECHNOLOGIES
Help of the ANR 439,295 euros
Beginning and duration of the scientific project: February 2022 - 36 Months