ERC Starting Grant · 2022
Quantum dynamical neural networks
Quantum neural networks are a young research field, that has been rapidly expanding due to their potential to attain revolutionary computing capacities and the possibility to learn on quantum data, inaccessible to classical computers. However, despite impressive proof-of-concept results, currently existing approaches that rely on sparsely coupled qubits, are not scalable to network sizes and connectivities with tunable weights required for state-of-the art tasks. In qDynnet, I will adopt a completely new and unexplored approach that uses parametrically coupled superconducting quantum oscillators instead of physically coupled qubits, that will allow me to obtain quantum neural networks of…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.
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