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  • Institut für Theoretische Physik, Universitätulm
  • Albert-Einstein-Allee 11
  • 08:34 (UTC -03:00)
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tomi-cuentitas/README.md

🎓 Federico Tomás B. Pérez — Ph.D. Candidate

Invited Researcher · Institut für Theoretische Physik, Universität Ulm 🇩🇪
Ph.D. Student · Instituto de Física La Plata (CONICET–UNLP) 🇦🇷


🔗 Academic Profiles

Google Scholar
LinkedIn


🧠 Research Focus

I am a Ph.D. candidate in theoretical and computational quantum physics, working on
classical simulation techniques for quantum many-body systems.

My doctoral research develops Maximum-Entropy (Max-Ent) projection methods as a
controllable, scalable, and adaptive framework for quantum dynamics.

During my research stay with M. B. Plenio’s group (Universität Ulm), I explore
Bayesian approaches to tensor-network simulations, focusing on critical systems and uncertainty-aware algorithms.


🔬 Research Interests

  • Classical simulation of quantum many-body dynamics
  • Maximum-Entropy (Max-Ent) methods for dynamical evolution
  • Tensor network approaches beyond MPS:
    • PEPS
    • Weighted Graph States (WGS)
    • Belief Propagation–based methods
  • Open quantum systems & non-unitary dynamics

📘 Doctoral Thesis

Efficient Simulation of Dynamics of Quantum Systems
(Expected completion: July 2026)


📚 Publications

F. T. B. Pérez, J. M. Matera (2024)
Quantum Covariance Scalar Products and Efficient Estimation of Maximum-Entropy Projections
Physical Review A 109, 022401
https://journals.aps.org/pra/abstract/10.1103/PhysRevA.109.022401

F. T. B. Pérez, J. M. Matera (2025)
Adaptive Max-Ent Restricted Evolutions for Local Hamiltonians
(In preparation)


📬 Contact

📧 tomasemperador01_at_gmail.com
🔗 https://www.linkedin.com/in/tomas-cuentitas/


© 2025 Federico Tomás B. Pérez

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  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