Descrizione del progetto
L’incontro tra l’IA e la fisica quantistica
L’ascesa dell’intelligenza artificiale (IA) e dell’apprendimento automatico (AA) sta prendendo slancio nella ricerca scientifica di base. L’AA viene già attualmente impiegato in diverse aree della fisica, quali l’elaborazione e la classificazione dei megadati, mentre l’applicazione del calcolo quantico all’IA e all’AA si configura come un’entusiasmante futura applicazione nell’ambito della ricerca quantistica. Alla luce di tali premesse, il progetto QuantAI, finanziato dall’UE, analizzerà l’utilizzo dell’IA nella scienza di base, concentrando l’attenzione sulle informazioni quantistiche. Il progetto svilupperà modelli di agentività artificiale che risulteranno benefici per la ricerca di base e agevoleranno le applicazioni votate alla scoperta scientifica e agli esperimenti quantistici basati sull’IA. Per esempio, verranno sviluppati agenti tradizionali di apprendimento artificiale da usare in sistemi adattativi per la correzione degli errori quantistici che saranno successivamente integrati in architetture per il calcolo quantico su larga scala.
Obiettivo
Quantum mechanics is our most fundamental theory of physics. It has formed, and often challenged, our understanding of physical reality. We use quantum mechanics to manipulate and control matter and light at the atomic scale, and it provides the basis for many new technologies. At the same time, the rise of artificial intelligence (AI) and machine learning (ML) is gaining momentum in science and basic research. ML is already employed in different areas of physics, mostly for big data processing and classification. But the development of AI is heading much further and is likely to transform basic science in the near future. In this project, we will investigate the use of AI in basic science, with a focus on quantum physics and, more specifically, quantum information. We will develop models of artificial agency which are beneficial for basic research, both from a practical and a foundational perspective. We will develop classical artificial learning agents that can be used, e.g. for adaptive schemes of quantum error correction and integrated in large-scale quantum computing architectures, the design of complex quantum communication networks, and the study of novel computational phases of matter. The models of learning agents that we develop will facilitate applications towards AI-driven quantum experiment and scientific discovery. Our focus will be on transparent and interpretable models for artificial agency that are beneficial if not needed for basic science. These models can be used in future hybrid laboratories where human researchers will interact with AI assistant systems. On the foundational side, we will investigate quantum agents and the role of agency in quantum theory. These investigations will shed light not only on the possible ways of learning in a quantum environment, but also on the physical dimension of AI, the explainability of quantum AI, and the consistency of quantum theory.
Campo scientifico
- natural sciencesphysical sciencesquantum physics
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwarequantum computers
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencescomputer and information sciencesdata sciencedata processing
Parole chiave
Programma(i)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Argomento(i)
Meccanismo di finanziamento
HORIZON-ERC - HORIZON ERC GrantsIstituzione ospitante
6020 Innsbruck
Austria