10 citations · 15 across the 9 of their papers we have counts for
11 papers
Realistic simulation of universal multiport interferometers with losses within a Gaussian formalism
Sebastiano Corli, Dario Chemoli, Samuele Altilia +4
Photonic technologies are among the leading platform contenders for demonstrating quantum advantage. Nevertheless, photon losses represent the major hurdle for the realization of a…
Pulse-resolved post-generation phase control of squeezed light at 93 MHz with a bulk lithium-niobate modulator
Edoardo Suerra, Igor Vasiljevic, Sebastiano Corli +2
Time-domain multiplexing of continuous-variable quantum states provides a scalable approach to photonic quantum information processing, in which individual temporal modes can be se…
A Simple and Robust Balanced Homodyne Detector for High-Repetition-Rate Pulsed Sources
Samuele Altilia, Edoardo Suerra, Pietro Puppi +3
We design and experimentally characterize a balanced homodyne detector optimized for high-repetition-rate (100 MHz) pulsed optical sources. Unlike conventional transimpedance-ampli…
Transpiling quantum circuits by a transformers-based algorithm
Michele Banfi, Paolo Zentilini, Sebastiano Corli +1
Transformers have gained popularity in machine learning due to their application in the field of natural language processing. They manipulate and process text efficiently, capturin…
Generation and detection of squeezed states via a synchronously pumped optical parametric oscillator
Edoardo Suerra, Samuele Altilia, Stefano Olivares +7
A synchronously pumped optical parametric oscillator (SPOPO) operating at 93 MHz is used to generate squeezed states at 1035 nm. The system features a counter-propagating beam at t…
A minimalist self-differencing gating scheme for dead-time-free single-photon avalanche diodes at high repetition rate
Samuele Altilia, Edoardo Suerra, Stefano Capra +6
Gated quenched SPAD detectors are widely used in quantum communication and quantum computing setups employing high-repetition-rate lasers. Here, we present a novel scheme for high-…
Quantum physics informed neural networks for multi-variable partial differential equations
Giorgio Panichi, Sebastiano Corli, Enrico Prati
Quantum Physics-Informed Neural Networks (QPINNs) integrate quantum computing and machine learning to impose physical biases on the output of a quantum neural network, aiming to ei…
Measurement-Based Quantum Compiling via Gauge Invariance
Sebastiano Corli, Enrico Prati
The measurement-based architecture is a paradigm of quantum computing, relying on the entanglement of a cluster of qubits and the measurements of a subset of it, conditioning the s…
Quantum machine learning algorithms for anomaly detection: A review
Sebastiano Corli, Lorenzo Moro, Daniele Dragoni +2
The advent of quantum computers has justified the development of quantum machine learning algorithms , based on the adaptation of the principles of machine learning to the formalis…
An efficient algebraic representation for graph states for measurement-based quantum computing
Sebastiano Corli, Enrico Prati
Graph states are the main computational building blocks of measurement-based computation and a useful tool for error correction in the gate model architecture. The graph states for…
Solving Rubik's Cube via Quantum Mechanics and Deep Reinforcement Learning
Sebastiano Corli, Lorenzo Moro, Davide E. Galli +1
Rubik's Cube is one of the most famous combinatorial puzzles involving nearly possible configurations. Its mathematical description is expressed by the Rubik's…