Objectives
QNet brings together leading theorists and experimentalists to characterize the dynamics of networks with competing long- and short-range interactions in the presence of noise and dissipation and pursues the following objectives:
1. the characterization of quantum transport of energy and propagation of information, entanglement in the presence and as a function of the dissipation, disorder and temperature
2. the realization of fast quantum information scrambling in metastable systems subject to a noisy and dissipative environment and its effect
3. proof-of-principle implementation of neuromorphic-inspired quantum associative memory in atomic and superconducting systems
Work plan
WP1 will study transport of energy, information and heat in systems subject to dissipation, disorder and finite temperature. Theory and experiment will collaborate to characterize the transport properties in a network with long-range interactions and as a function of the spatial and temporal properties of noise. The theoretical predictions will be tested on (i) cavity QED setups where interaction, noise and temperature can be tuned, and (ii) on superconducting quantum circuits whose properties can be controlled accurately by design, and tuned in situ by magnetic and electric fields.
WP2 is devoted to the study of quantum metastability and to scrambling of information in systems with variable range interactions subject to a noisy and dissipative environment.
WP3 will investigate the role of quantum network complexity in neuro-inspired protocols such as Quantum Reservoir Computing and Quantum Associative Memory.
WP2 is devoted to the study of quantum metastability and to scrambling of information in systems with variable range interactions subject to a noisy and dissipative environment.
WP3 will investigate the role of quantum network complexity in neuro-inspired protocols such as Quantum Reservoir Computing and Quantum Associative Memory.
Cavity QED setups
Superconducting quantum circuits
