activity
20242026
collaborators

13 papers

quant-ph2026

Preprocessing noise in finite-size quantum key distribution

Gabriele Staffieri, Giuseppe D'Ambruoso, Giovanni Scala +1

It is known that preprocessing noise may boost quantum key distribution by expanding the range of values of tolerated noise. For BB84, adding trusted noise may allow the generation…

quant-ph2026

Finite-size resource scaling for learning quantum phase transitions with fidelity-based support vector machines

Aaqib Ali, Giovanni Scala, Cosmo Lupo +1

Quantum kernels offer a valid procedure for learning quantum phase transitions on quantum processing devices, yet issues on the scalability of the learning strategy in connection w…

quant-ph2026

Finite-size secret-key rates of discrete modulation continuous-variable quantum key distribution under Gaussian attacks

Gabriele Staffieri, Giovanni Scala, Cosmo Lupo

Quantum conditional entropies play a fundamental role in quantum information theory. In quantum key distribution, they are exploited to obtain reliable lower bounds on the secret-k…

quant-ph2026

Finite-size security of QKD: comparison of three proof techniques

Gabriele Staffieri, Giovanni Scala, Cosmo Lupo

We compare three proof techniques for composable finite-size security of quantum key distribution under collective attacks, with emphasis on how the resulting secret-key rates beha…

quant-ph2025

Dynamical cluster-based strategy for improving tensor network algorithms in quantum circuit simulations

Andrea De Girolamo, Paolo Facchi, Peter Rabl +3

We optimize matrix-product state-based algorithms for simulating quantum circuits with finite fidelity, specifically the time-evolving block decimation (TEBD) and the density-matri…

quant-ph2025

Optimal and robust error filtration for quantum information processing

Aaqib Ali, Giovanni Scala, Cosmo Lupo

Error filtration is a hardware scheme that mitigates noise by exploiting auxiliary qubits and entangling gates. Although both signal and ancillas are subject to local noise, constr…