Author

Antonio Sannia

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Preprint Sep 2026

Temporal information processing on a 4,500-qubit quantum annealer

A quantum machine-learning model implemented on a programmable superconducting quantum annealer that processes temporal data at large scale using up to 4,500 qubits is reported-the largest quantum machine-learning experiment performed to date.

Antonio Sannia, Roberto Menta, Pratik Sathe et al. · 0 citations

Preprint Jul 2026

A Reservoir Computing Approach to Quantum Gate Synthesis

Group Reservoir Computing is introduced, an efficient machine-learning paradigm for learning temporal dynamics whose training reduces to a single linear regression, to reduce the resources required.

F. Caravelli, Roberto Menta, Antonio Sannia · 0 citations