Descrizione del progetto
Realizzare il potenziale del calcolo quantistico in un dispositivo computazionale fotonico
I computer quantistici sfruttano le magiche possibilità della meccanica quantistica per migliorare notevolmente la potenza di calcolo. Il loro potenziale per superare il calcolo classico, dimostrando la cosiddetta supremazia quantistica, deve ancora essere realizzato. Recentemente, lo studio di problemi di calcolo che producono campioni da distribuzioni di probabilità (problemi di campionamento quantistico o campionamento di circuiti casuali) ha evidenziato un potenziale percorso futuro per dimostrare la supremazia quantistica. I circuiti casuali sviluppano rapidamente l’entanglement a lungo raggio, il che li rende molto difficili da simulare con gli algoritmi classici. Un modo promettente per ottenere un calcolo quantistico utile è utilizzare un modello computazionale ibrido che combina processi classici e quantistici. Il progetto PHOQUSING, finanziato dall’UE, prevede di implementare un tale sistema computazionale ibrido basato su fotonica all’avanguardia integrata, ponendo l’Europa in prima linea in un campo emergente competitivo ed economicamente importante.
Obiettivo
Randomness is a resource that enables applications such as efficient probabilistic algorithms, numerical integration, simulation, and optimization. In the last few years it was realized that quantum devices can generate probability distributions that are inaccessible with classical means. Hybrid Quantum Computational models combine classical processing with these quantum sampling machines to obtain computational advantage in some tasks. Moreover, NISQ (Noisy, Intermediate-Scale Quantum) technology may suffice to obtain this advantage in the near term, long before we can build large-scale, universal quantum computers. PHOQUSING aims to implement PHOtonic Quantum SamplING machines based on large, reconfigurable interferometers with active feedback, and state-of-the-art photon sources based both on quantum dots and parametric down-conversion. We will overview the different architectures enabling the generation of these hard-to-sample distributions using integrated photonics, optimizing the designs and studying the tolerance to errors. We will build two quantum sampling machines with different technologies, as a way to do cross-checks while exploiting all advantages of each platform. These machines will establish a new state-of-the-art in photonic reconfigurability, system complexity, and integration. Finally, we plan to perform first, proof-of-principle demonstrations of Hybrid Quantum Computation applications in optimization, machine learning, and graph theory. The PHOQUSING team includes long-term scientific collaborators who were among the first to demonstrate quantum photonic samplers; two of the leading European start-ups in the relevant quantum technologies; and theoretical experts in photonics and quantum information science. This project will help establish photonics as a leading new quantum computational technology in Europe, addressing the science-to-technology transition towards a new industrial sector with a large foreseeable economic impact.
Campo scientifico
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwarequantum computers
- natural sciencesmathematicspure mathematicsdiscrete mathematicsgraph theory
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencesphysical sciencestheoretical physicsparticle physicsphotons
Programma(i)
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Vedi altri progetti per questo bandoBando secondario
H2020-FETOPEN-2018-2019-2020-01
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
00185 Roma
Italia