12 papers
Learning Topological Quantum Phases from Limited Subsystems
Mehran Khosrojerdi, Sougato Bose, Alessandro Cuccoli +3
Characterizing quantum topological phases requires measuring non-local string order parameters, demanding access to the full system, which is often experimentally unfeasible. In th…
Chernoff Information Bottleneck for Covert Quantum Target Sensing
Giuseppe Ortolano, Ivano Ruo-Berchera, Leonardo Banchi
The paradigm of quantum metrology and sensing aims to identify a quantum advantage in precision at a fixed energy of the probe state. However, in practice, employing high-energy cl…
Analysis of Quantum Image Representations for Supervised Classification
Marco Parigi, Mehran Khosrojerdi, Filippo Caruso +1
In the era of big data and artificial intelligence, the increasing volume of data and the demand to solve more and more complex computational challenges are two driving forces for…
Lower Bounding the Secret Key Capacity of Bosonic Gaussian Channels via Optimal Gaussian Measurements
Giuseppe Ortolano, Stefano Pirandola, Leonardo Banchi
We find the maximum rate achievable in the private communication over a bosonic quantum channel with a fully Gaussian protocol based on optimal single-mode Gaussian measurements. T…
Unsupervised Learning to Recognize Quantum Phases of Matter
Mehran Khosrojerdi, Alessandro Cuccoli, Paola Verrucchi +1
Drawing the quantum phase diagram of a many-body system in the parameter space of its Hamiltonian can be seen as a learning problem, which implies labelling the corresponding groun…
Out-of-distribution generalisation for learning quantum channels with low-energy coherent states
Jason L. Pereira, Quntao Zhuang, Leonardo Banchi
When experimentally learning the action of a continuous variable quantum process by probing it with inputs, there will often be some restriction on the input states used. One exper…