About

I am a physicist initially specialized in gravitation before expanding my focus to the field of quantum mechanics, which led me to complete a master’s degree in quantum computing. This academic journey has brought me to Finland, where I am currently pursuing a PhD at Aalto University. Nowadays I work in the intersection of quantum computing and machine learning. At Aalto University, I am a doctoral researcher under the supervision of Professor Simo Särkkä. I am part of the QuantLearn project, an ambitious research initiative funded by the Research Council of Finland. The project aims to advance the frontiers of knowledge by developing quantum machine learning algorithms with the potential to transform various domains within computational science.

Research Experience

Research visit - University of Oxford

With Prof. Michael Osborne and Prof. Natalia Ares at Oxford University | Oxford, United Kingdom | October - November 2024

  • Low-rank Gaussian proceeses techniques.
  • Disorder potential in quantum dot for semiconducting qubits.

Doctoral Researcher - Aalto University

With Prof. Simo Särkkä at Aalto University, School of Electrical Engineering | Espoo, Finland | Oct. 2022 - ongoing

  • Development and implementation of Gaussian process-based quantum algorithms.
  • Quantum state tomography of qubits in real quantum hardware.
  • Probabilistic machine learning using low-rank Gaussian processes.

Summer Research Mentor QIntern 2023 - QWorld

Mentor with Kuan-Cheng Chen and Temitope Adeniyi at the QWorld Association | Online | July 2023 - August 2023

  • Project: Quantum machine learning of large datasets.

Summer Research QIntern 2022 - QWorld

With Kuan-Cheng Chen at the QWorld Association | Online | July 2022 - August 2022

  • Project: N-Queen Solver Implementation for Optimization of Communication System by Qiskit.

Graduate Research Assistant - Universidad Naiconal de Colombia

With Dr. Karen Fonseca at Universidad Nacional de Colombia, group of optics and quantum information | Bogotá, Colombia | Aug. 2020 - Sep. 2022

  • Quantum state tomography techniques for qubit state estimation.
  • Simulation of quantum systems using quantum computers.

Undergraduate Research Assistant

With Dr. Edward Larrañaga at National Astronomic Observatory of Colombia | Bogotá, Colombia | Sep. 2018 - Aug. 2020

  • Particles motion around different black holes backgrounds.
  • Black Hole properties in f(R) gravity.
  • Teleportation of quantum states in an expanding universe.

Research Interest

  • Quantum Machine Learning & Algorithms
  • Quantum Gaussian process algorithms
  • Quantum state tomography
  • Simulation of quantum systems using quantum computers
  • Quantum chemistry

Other interests

  • Relativistic phenomena at quantum scales
  • Gravitation and black holes
  • Quantum gravity

Publications

Papers

  1. Cristian A. Galvis-Florez, Ahmad Farooq, Simo Särkkä. Provable Quantum Algorithm Advantage for Gaussian Process Quadrature. Transactions on Machine Learning Research (TMLR), 2025. [PDF] [DOI]
  2. Ahmad Farooq, Cristian A. Galvis-Florez, Simo Särkkä. Quantum-assisted Hilbert-space Gaussian process regression. Physical Review A, 109, 052410, 2024. [PDF] [DOI]
  3. Cristian A. Galvis-Florez, Daniel Reitzner, Simo Särkkä. Single Qubit State Estimation on NISQ Devices with Limited Resources and SIC-POVMs. IEEE International Conference on Quantum Computing and Engineering (QCE), 2023. [PDF] [DOI]
  4. Carlos Conde, Cristian Galvis y Edward Larrañaga. Properties of the Innermost Stable Circular Orbit of a Spinning Particle Moving in a Maxwell-Dilaton Black Hole Background. Physical Review D, 99(10), 104059, 2019. [PDF] [DOI]

Pre-prints

  1. Cristian A. Galvis Florez, Javier Martínez-Cifuentes, Karen M. Fonseca-Romero. Partial and complete qubit estimation using a single observable: optimization and quantum simulation. arXiv:2301.11121 [quant-ph], 2023. [PDF] [Arxiv]
  2. Carlos Conde, Cristian Galvis y Edward Larrañaga. On the properties of a Static and a Stationary Charged Black Hole in f(R) Gravity. arXiv:1907.01050 [gr-qc], 2019. [PDF] [Arxiv]

Contact

Email: cristian.galvis@aalto.fi

LinkedIn: linkedin.com/in/cristian-galvis

Personal webpage: cagalvisf.github.io

Location: Aalto University, Espoo, Finland