activity
20092026
most citedAdvances in Quantum Cryptography

1.9k citations · 7.5k across the 87 of their papers we have counts for

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Showing 2023 · quant-phShow all

6 papers · 2 filters

quant-ph2023★ 8 cited

Accuracy vs Memory Advantage in the Quantum Simulation of Stochastic Processes

Leonardo Banchi

Many inference scenarios rely on extracting relevant information from known data in order to make future predictions. When the underlying stochastic process satisfies certain assum…

quant-ph2023

Full-magnetic implementation of a classical Toffoli gate

Davide Nuzzi, Leonardo Banchi, Ruggero Vaia +4

The Toffoli gate is the essential ingredient for reversible computing, an energy efficient classical computational paradigm that evades the energy dissipation resulting from Landau…

quant-ph2023★ 8 cited

Design and simulation of a transmon qubit chip for Axion detection

Roberto Moretti, Hervè Atsè Corti, Danilo Labranca +54

Quantum Sensing is a rapidly expanding research field that finds one of its applications in Fundamental Physics, as the search for Dark Matter. Devices based on superconducting qub…

quant-ph2023★ 15 cited

Statistical Complexity of Quantum Learning

Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose +1

Recent years have seen significant activity on the problem of using data for the purpose of learning properties of quantum systems or of processing classical or quantum data via qu…

quant-ph2023★ 5 cited

Continuous variable port-based teleportation

Jason L. Pereira, Leonardo Banchi, Stefano Pirandola

Port-based teleportation is generalization of the standard teleportation protocol which does not require unitary operations by the receiver. This comes at the price of requiring $N…

quant-ph2023

Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating

Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi +1

Adaptive gating plays a key role in temporal data processing via classical recurrent neural networks (RNN), as it facilitates retention of past information necessary to predict the…