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

Recent and ongoing Research projects

MAGMA

MAGNETIC TOPOLOGICAL INSULATORS FOR ROBUST MAJORANA BOUND STATES

P.I.: Llorenç Serra
Magnetic topological insulators (MTIs) display a fascinating interplay between magnetic order and topologically nontrivial band structures. In the MAGMA project (“Magnetic topological insulators for robust Majorana bound states”), which is funded by ...

CoQHoNet

Connecting Quantum Hopfield Networks

P.I.: Roberta Zambrini
CoQHoNet is a Marie Curie European Postdoctoral Fellowships, which allows the hiring of Dr. Eliana Fiorelli to execute the following research project: Classical Neural Networks (NNs) are architectures successfully employed in Machine ...

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.

MdM-IFISC-2

Maria de Maeztu 2023-2026

P.I.: Ernesto Estrada, Ingo Fischer, Emilio Hernández-García, Rosa Lopez, Claudio Mirasso, Jose Javier Ramasco, Raúl Toral, Roberta Zambrini
After 15 years of its existence, IFISC can point to a proven track record of impactful research. The previous 2018-2022 MdM award has significantly enhanced the institute's capabilities, as demonstrated by an ...

CoQuSy

Complex Quantum Systems: machine learning, thermodynamics, and emergent phenomena

P.I.: Gian Luca Giorgi, Gonzalo Manzano, Roberta Zambrini
CoQuSy is a coordinated project and joins all the researchers at IFISC (belonging either to CSIC or UIB) working in the common line of complex quantum systems. The coordination is motivated by ...

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 ...

QTD-InFlexity

Quantum thermodynamics: information, fluctuations and complexity

P.I.: Gonzalo Manzano
In the last two decades, thermodynamics has been extended to describe small systems, where the action of environmental noise “blurs” traditional thermodynamic constraints and information plays a central role. While the first ...

AIHUB

AIHUB

P.I.: Jose Javier Ramasco
HUB CSIC for fomenting the research and services on Artificial Intelligence.

Recent Publications

Characterizing and Mitigating Timing Noise-Induced Decoherence in Single Electron Sources

Sungguen Ryu, Rosa López, Llorenç Serra, David Sánchez, Michael Moskalets
Physical Review B 109, 165306 (1-11) (2024)

Optical phase encoding in a pulsed approach to reservoir computing

Henaff, Johan; Ansquer, Matthieu; Soriano, Miguel C.; Zambrini, Roberta; Treps, Nicolas; Parigi, Valentina
Optics Letters 49, 2097-2100 (2024)

Quantum fidelity kernel with a trapped-ion simulation platform

Martínez-Peña, Rodrigo; Soriano, Miguel C.; Zambrini, Roberta
Physical Review A 109, 042612 (2024)

Quantum coherence enables hybrid multitask and multisource regimes in autonomous thermal machines

Hammam, Kenza; Manzano, Gonzalo; de Chiara, Gabriele
Physical Review Research 6, 013310 (2024)

Related News

IFISC (UIB-CSIC) research on Quantum Reservoir Computing is highlighted by the editorial staff of Optics Express

Feb. 27, 2024
An IFISC study, published in Optics Express and featured as an Editor's Pick, reveals the potential of quantum squeezing in the machine learning architecture known as Reservoir Computing. A recent article published by IFISC researchers in Optics Express, entitled ...

IFISC (UIB-CSIC) researchers present a new quantum method of pattern classification

June 1, 2023
Researchers at IFISC (UIB-CSIC) have proposed a novel method for pattern classification using a single nonlinear quantum oscillator instead of a lattice of spins (bits). The study, published in the prestigious journal Physical Review Letters, focuses on the implementation of ...

Simulation of collective effects between the qubits of a quantum computer

March 10, 2023
An international team, involving researchers from IFISC (UIB-CSIC) in collaboration with the University of Helsinki, Aalto University and the startup Algorithmiq (Finland), has successfully simulated the collective and dissipative dynamics of two qubits in a real quantum computer. These results ...

IFISC researchers propose a new protocol for data processing with Quantum Reservoir Computing

March 17, 2023
Researchers at IFISC (UIB-CSIC) propose a new protocol for processing sequential data using quantum machine learning.The study proposes a way to efficiently include quantum measurement while preserving the quantum advantage that characterises these systems. Researchers at the Institute for ...

Boosting the efficiency of quantum heat engines

May 6, 2022
A team of researchers from IFISC (UIB-CSIC) has demonstrated that a quantum chiral conductor driven by an alternating current voltage can operate with efficiencies much higher than the hitherto insurmountable Carnot limit. In the paper, published in Nature Communications, the ...

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