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tomi-cuentitas/README.md

Federico Tomás B. Pérez

Ph.D. Candidate in Quantum Information
Instituto de Física La Plata (IFLP) · CONICET–UNLP, Argentina

Incoming Graduate Research Assistant · Los Alamos National Laboratory, USA
Former Research Associate · Universität Ulm, Germany

Google Scholar · arXiv · LinkedIn


About

I am a doctoral researcher in theoretical and computational quantum information at the Instituto de Física La Plata (CONICET–UNLP). My research focuses on developing efficient methods for the classical simulation of quantum many-body systems, particularly state-adapted approximations and Heisenberg-picture dynamics.

My work originated in maximum-entropy inference and generalized mean-field projections. More recently, I have developed a covariance-based approach to state-adapted Pauli propagation in collaboration with Gabriela Wójtowicz and Martin B. Plenio.

From January to November 2025, I worked as a Wissenschaftlicher Mitarbeiter at the Institut für Theoretische Physik, Universität Ulm. Our research collaboration has continued beyond the end of that appointment. In September 2026, I will join the CAI-3 group at Los Alamos National Laboratory as a Graduate Research Assistant, working with Marco Cerezo.

Featured research

State-adapted Pauli propagation

State-adapted generalized mean-field projections for Pauli propagation of Heisenberg dynamics
F. T. B. Pérez, G. Wójtowicz, and M. B. Plenio · arXiv:2609.12840 (2026)
Preprint · PDF

Conventional Pauli-weight truncation discards operator contributions above a prescribed weight. Our approach instead introduces a state-adapted covariance inner product and an associated orthogonal generalized mean-field projection that maps many-body operators onto statistically relevant low-body representatives.

Combined with adaptive projected Krylov dynamics in the Heisenberg picture, this construction improves accuracy relative to conventional weight truncation in the reported benchmarks at comparable computational cost. The numerical demonstrations include three-dimensional lattices of up to 90 spins, with retained Pauli weight up to m = 3. The work also examines representation and dynamical errors and their connections to operator entanglement and, under additional assumptions, nonstabilizerness.

Research interests

  • Classical simulation of quantum many-body dynamics
  • Heisenberg-picture methods, Pauli propagation, and adaptive Krylov subspaces
  • Quantum covariance, maximum-entropy inference, and generalized mean-field projections
  • Operator entanglement, nonstabilizerness, and simulation complexity
  • Tensor-network methods and alternative operator representations
  • Extensions to imaginary-time dynamics, thermal states, and quantum circuits

Research appointments

Period Institution Position / collaboration
Sep 2026–early 2027 Los Alamos National Laboratory, USA Incoming Graduate Research Assistant, CAI-3; Marco Cerezo
Jan–30 Nov 2025 Universität Ulm, Germany Wissenschaftlicher Mitarbeiter, Institut für Theoretische Physik; Martin B. Plenio
Dec 2025–present Universität Ulm, Germany Continuing research collaboration with Martin B. Plenio (not an employment appointment)
2022–present IFLP, CONICET–UNLP, Argentina Doctoral research in quantum information

Selected publications

State-adapted generalized mean-field projections for Pauli propagation of Heisenberg dynamics
F. T. B. Pérez, G. Wójtowicz, and M. B. Plenio.
arXiv:2609.12840 (2026), preprint. arXiv

Quantum covariance scalar products and efficient estimation of maximum-entropy projections
F. T. B. Pérez and J. M. Matera.
Physical Review A 109, 022401 (2024). DOI

For a fuller publication list, see my Google Scholar profile. A companion manuscript on state-adapted Pauli propagation is in preparation.

Doctoral research

Efficient Simulation of Dynamics of Quantum Systems
Ph.D. in Quantum Information · Universidad Nacional de La Plata
Expected defense: August 2027

Contact

I welcome scientific discussions and potential collaborations in quantum simulation, Pauli propagation, and quantum many-body theory.

Email: ftbperez.quantum_at_gmail.com
Google Scholar · arXiv · LinkedIn

Pinned Loading

  1. Adapt-Max-Ent-Alps2Qutip Adapt-Max-Ent-Alps2Qutip Public

    Adaptive Maximum Entropy Projection method for quantum simulation / operator compression based on lattice models provided by Alps