Transport and Information in Quantum Systems

Understanding of Quantum Complex Phenomena plays a key role in the development of Quantum Technologies identified as one of the most strategic areas for future research and innovation.

In this research line, we are devoted to questions related to quantum transport for charge(nanoelectronics), spin (spintronics), energy (thermoelectrics) and information (quantum correlations), with a particular focus on nanostructures. Moreover, we investigate decoherence effects in complex environments, explore quantum probing, and emergent phenomena such as synchronization, with a focus on quantum correlations and thermodynamics and their impact on information processing.

At IFISC we manage both the QTD platform announcing events and positions among the networks of scientists working on quantum thermodynamics and the QTTS webpage, a society devoted to understanding the thermodynamics of quantum systems and quantum transport.

Researchers

  • Rosa Lopez

    Rosa Lopez

  • David Sánchez

    David Sánchez

  • Llorenç Serra

    Llorenç Serra

  • Roberta Zambrini

    Roberta Zambrini

  • Gianluca Giorgi

    Gianluca Giorgi

  • Johannes Nokkala

    Johannes Nokkala

  • Sungguen Ryu

    Sungguen Ryu

Recent and ongoing Research projects

EPheQuCS

Emergent phenomena and decoherence in quantum complex systems

P.I.: Roberta Zambrini
Impressive progress in isolating and manipulating single quantum systems and recent developments in secure communications, sensors, metrology and computation, based on quantum physics and information are at the basis of the envisaged ...

TQM@Nano

Transport in Quantum Materials at the Nanoscale

P.I.: Rosa Lopez, David Sánchez
The aim of TQM@Nano is to examine the transport properties of nanoscale conductors that exhibit features unique to quantum materials (topology, strong correlations). These systems are attracting a good deal attention due ...

QuaResC

Quantum machine learning using reservoir computing

P.I.: Miguel C. Soriano, Roberta Zambrini
The QuaResC project engages in a new collaboration UIB and CSIC researchers at IFISC with the objective to address an interdisciplinary topic between artificial intelligence and quantum physics: quantum machine learning using ...

QUAREC

Machine learning with quantum reservoir computing

P.I.: Roberta Zambrini
Project funded by the government of the Balearic Islands with the goal of extending Reservoir Computing into the quantum domain. The project is mainly theoretical/numerical, but also deals with the identification of ...

Recent Publications

Andreev-Coulomb drag in coupled quantum dots

Tabatabaei, S. M.; Sanchez, D.; Levy Yeyati, R.; Sanchez, R.
Physical Review Letters (accepted) , (2020)

Unraveling the non-Hermitian skin effect in dissipative system

Longhi, Stefano
Physical Review B 102, 201103(R) (1-6) (2020)

Collision models can efficiently simulate any multipartite Markovian quantum dynamics

Cattaneo, Marco; De Chiara, Gabriele; Maniscalco, Sabrina; Zambrini, Roberta; Giorgi, Gian Luca
Submitted (2020)

Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems

Martínez-Peña, R.; Nokkala, J.; Giorgi, G. L.; Zambrini, R.; Soriano, M. C.
Cognitive Computation , (2020)

The role of coherence in Quantum Reservoir Computing

Palacios de Luis, Ana (Advisors: R. Zambrini and G.L. Giorgi)
Master Thesis (2020)

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