Pregled bibliografske jedinice broj: 767108
Quantum-enhanced deliberation of learning agents using trapped ions
Quantum-enhanced deliberation of learning agents using trapped ions // New journal of physics, 17 (2015), 023006; 023006-1 doi:10.1088/1367-2630/17/2/023006 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 767108 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Quantum-enhanced deliberation of learning agents using trapped ions
Autori
Dunjko, Vedran ; Friis, Nicolai ; Briegel, Hans J. ;
Izvornik
New journal of physics (1367-2630) 17
(2015), 023006;
023006-1
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Quantum computation architectures and implementations; Numerical simulation; solution of equations; Random walks and Levy flights; Control theory
Sažetak
A scheme that successfully employs quantum mechanics in the design of autonomous learning agents has recently been reported in the context of the projective simulation (PS) model for artificial intelligence. In that approach, the key feature of a PS agent, a specific type of memory which is explored via random walks, was shown to be amenable to quantization, allowing for a speed-up. In this work we propose an implementation of such classical and quantum agents in systems of trapped ions. We employ a generic construction by which the classical agents are 'upgraded' to their quantum counterparts by a nested process of adding coherent control, and we outline how this construction can be realized in ion traps. Our results provide a flexible modular architecture for the design of PS agents. Furthermore, we present numerical simulations of simple PS agents which analyze the robustness of our proposal under certain noise models.
Izvorni jezik
Engleski
Znanstvena područja
Fizika, Računarstvo
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus