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Generating Haar-uniform Randomness using Stochastic Quantum Walks on a Photonic Chip
Hao Tang, Leonardo Banchi, Tian-Yu Wang +9
As random operations for quantum systems are intensively used in various quantum information tasks, a trustworthy measure of the randomness in quantum operations is highly demanded…
Variational Adiabatic Gauge Transformation on real quantum hardware for effective low-energy Hamiltonians and accurate diagonalization
Laura Gentini, Alessandro Cuccoli, Leonardo Banchi
Effective low-energy theories represent powerful theoretical tools to reduce the complexity in modeling interacting quantum many-particle systems. However, common theoretical metho…
Symplectic decomposition from submatrix determinants
Jason L. Pereira, Leonardo Banchi, Stefano Pirandola
An important theorem in Gaussian quantum information tells us that we can diagonalise the covariance matrix of any Gaussian state via a symplectic transformation. Whilst the diagon…
Quantum Noise Sensing by generating Fake Noise
Paolo Braccia, Leonardo Banchi, Filippo Caruso
Noisy-Intermediate-Scale-Quantum (NISQ) devices are nowadays starting to become available to the final user, hence potentially allowing to show the quantum speedups predicted by th…
Bounding the benefit of adaptivity in quantum metrology using the relative fidelity
Jason L. Pereira, Leonardo Banchi, Stefano Pirandola
Protocols for discriminating between a pair of channels or for estimating a channel parameter can often be aided by adaptivity or by entanglement between the probe states. This can…
Generalization in Quantum Machine Learning: a Quantum Information Perspective
Leonardo Banchi, Jason Pereira, Stefano Pirandola
Quantum classification and hypothesis testing are two tightly related subjects, the main difference being that the former is data driven: how to assign to quantum states the…