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

  • Gian Luca Giorgi

    Gian Luca Giorgi

  • Sungguen Ryu

    Sungguen Ryu

Recent and ongoing Research projects

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 ...

QuTTNAQMa

TRANSPORTE CUANTICO Y TERMODINAMICA: NUEVAS AVENIDAS EN MATERIALES CUANTICOS

P.I.: Rosa Lopez, Llorenç Serra
The aim of this project is to investigate the heat and energy transport properties in nanoconductors considering complex phenomena due to either many-body interactions and/or the presence of quantum materials.

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 ...

QTEP

Quantum Technologies Platform

P.I.: Llorenç Serra, Roberta Zambrini
QTEP is a CSIC Interdisciplinary Thematic Platform (PTI). The reference for QTEP is the quantum technologies community that organizes around the Flagship (http://qt.eu) and the Quantum Community Network. This community works on ...

Recent Publications

Dynamical phase transitions in quantum reservoir computing

Martínez-Peña, Rodrigo; Giorgi, Gian Luca; Nokkala, Johannes; Soriano, Miguel C.; Zambrini, Roberta
Physical Review Letters 127, 100502 (1-7) (2021)

High-Performance Reservoir Computing With Fluctuations in Linear Networks

Nokkala, Johannes; Martínez-Peña, Rodrigo; Zambrini, Roberta; Soriano, Miguel C.
IEEE Transactions on Neural Networks and Learning Systems , (2021)

Reservoir Computing: Theory, Physical Implementations, and Applications

Nakajima, Kohei; Fischer, Ingo (Editors)
, Springer Singapore (2021)

Inferring work by quantum superposing forward and time-reversal evolutions

Rubino, Giulia; Manzano, Gonzalo; Rozema, Lee A.; Walther, Philip; Parrondo, Juan M. R.; Brukner, Časlav
Submitted (2021)

Opportunities in Quantum Reservoir Computing and Extreme Learning Machines

Mujal, Pere; Martínez-Peña, Rodrigo; Nokkala, Johannes; García-Beni, Jorge; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Roberta
Advanced Quantum Technologies , 2100027 (2021)

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