Man

Francisco Dámaso Albarrán Arriagada

Profesor Asistente

Universidad de Santiago de Chile

Santiago, Chile

Líneas de Investigación


Quantum technologies, Superconducting circuits, Quantum Machine learning, Quantum computing

Educación

  •  Física, UNIVERSIDAD DE SANTIAGO DE CHILE. Chile, 2013
  •  Tecnologías Cuánticas, UNIVERSIDAD DE SANTIAGO DE CHILE. Chile, 2018

Experiencia Académica

  •   Investigador postdoctoral Full Time

    Centro para el desarrollo de Nanociencia y Nanotecnologia CEDENNA

    Santiago, Chile

    2018 - 2019

  •   Postdoctoral Researcher Full Time

    Shanghai University

    Shanghai, China

    2019 - 2022

  •   Profesor Asistente Full Time

    UNIVERSIDAD DE SANTIAGO DE CHILE

    Ciencias

    Santiago, Chile

    2022 - A la fecha

Experiencia Profesional

  •   Postdoctoral Researcher Full Time

    CEDENNA

    Santiago, Chile

    2018 - 2019

  •   Postdoctoral Researcher Full Time

    Shanghai University - QuArtist Center

    Shanghai, China

    2019 - A la fecha

Premios y Distinciones

  •   Beca Doctorado Nacional Conicyt 2014

    UNIVERSIDAD DE SANTIAGO DE CHILE

    Chile, 2014

    I obtained the government scholarship for my PhD in Universidad de Santiago de Chile


 

Article (31)

Machine Learning for Maximizing the Memristivity of Single and Coupled Quantum Memristors
Microwave quantum memcapacitor effect
Deterministic single-photon source in the ultrastrong-coupling regime
Digital-Analog Quantum Simulation of Fermionic Models
Embedded quantum correlations in thermalized quantum Rabi systems
Enhanced Efficiency at Maximum Power in a Fock-Darwin Model Quantum Dot Engine
Tunable Non-Markovianity for Bosonic Quantum Memristors
Adaptive random quantum eigensolver
Analog quantum approximate optimization algorithm
Digitized-counterdiabatic quantum approximate optimization algorithm
Portfolio optimization with digitized counterdiabatic quantum algorithms
Quantum Memristors with Quantum Computers
Quantum pattern recognition in photonic circuits
Superconducting circuit architecture for digital-analog quantum computing
Swap Test with Quantum Dot Charge Qubits
Tripartite Entanglement in Quantum Memristors
Digitized adiabatic quantum factorization
Entangled quantum memristors
Experimental semi-autonomous eigensolver using reinforcement learning
One-Photon Solutions to the Multiqubit Multimode Quantum Rabi Model for Fast <i>W</i>-State Generation
Shortcuts to Adiabaticity in Digitized Adiabatic Quantum Computing
Reinforcement learning for semi-autonomous approximate quantum eigensolver
Reconstruction of a Photonic Qubit State with Reinforcement Learning
Measurement-based adaptation protocol with quantum reinforcement learning
One-way quantum computing in superconducting circuits
Quantum Mechanical Engine for the Quantum Rabi Model
Spin-1 models in the ultrastrong-coupling regime of circuit QED
Generation of higher dimensional entangled states in quantum Rabi systems
Generation of maximally correlated states of (d circle times d)-dimensional systems in the absence of entanglement
Incoherent-mediator for quantum state transfer in the ultrastrong coupling regime
Role of quantum correlations in light-matter quantum heat engines

Proyecto (2)

OPTIMIZATION ALGORITHMS FOR NOISY INTERMEDIATE SCALE QUANTUM COMPUTERS
Centro para el Desarrollo de la Nanociencia y la Nanotecnología
32
Francisco Albarrán

Profesor Asistente

Física

Universidad de Santiago de Chile

Santiago, Chile

11
Juan Retamal

Full Professor

Physics

UNIVERSIDAD DE SANTIAGO DE CHILE

Santiago de CHile, Chile

3
Guillermo Romero

ASSOCIATE PROFESSOR

PHYSICS

UNIVERSIDAD DE SANTIAGO DE CHILE

SANTIAGO, Chile

2
Francisco Peña

Profesor Investigador

Física

Universidad Técnica Federico Santa María

Valparaíso, Chile

1
PATRICIO VARGAS

Profesor Titular

FISICA

USM

Valparaiso, Chile