Transport, metastability, and neuromorphic applications in quantum networks

One of the current challenges in the practical implementation of quantum technologies, including quantum computers, is mitigating the detrimental effects of the external environment. As the size of a quantum device is scaled up, the influence of the external environment becomes increasingly relevant, as it tend to destroy quantum mechanical coherence. Most strategies for mitigating this detrimental effect on quantum operations become quickly inefficient when scaled up to larger numbers of qubits. The goal of QNet is to provide concepts and methods for manipulating quantum information, where noise and dissipation can be even instrumental for fault-tolerant quantum information processing at the mesoscopic scale. For this purpose, QNet will assess the out-of-equilibrium dynamics of a quantum network with long-range interactions in the presence and as a function of noise and dissipation, with a specific focus on applications to quantum associative memories and quantum reservoir computing. QNet joins world-leading theory and experimental scientists with expertise including quantum optics, condensed matter, quantum information, and quantum thermodynamics. The proof-of-principle concepts will be tested on state-of-the-art experimental platforms consisting of (i) ultracold atoms in a high-finesse cavity with tunable temperature, noise and dissipation, and (ii) superconducting quantum circuits that are coupled to on-chip mesoscopic heat baths. On these platforms we will test the role of noise and dissipation on quantum neuromorphic computation. QNet will provide a toolbox of concepts and paradigms, paving the way to the next generation of quantum technologies.

CONSORTIUM

• Coordinator:  Ticijana Ban (Institute of Physics, HR)
  
• Giovanna Morigi (Universität des Saarlandes, DE)
• Luca Giorgi Gian (University of Balearic islands, Institute for Cross-Disciplinary Physics and Complex Systems, ES)
• Jukka Pekola (Aalto University, FI)
• Tobias Donner (Federal Institute of Technology, CH)