PeopleofSuperintelligence

Researcher

Guifré Vidal

Also known as Guifre Vidal

Guifré Vidal is a Spanish physicist whose tensor-network methods connect quantum physics with machine learning. He published a method for simulating time evolution in quantum spin chains in 2004, and in 2007 he proposed entanglement renormalization, a real-space renormalization scheme for quantum systems. In 2019 he co-authored TensorNetwork, an open source library for physics and machine learning, and by September 2019 he was a research scientist at Sandbox @ Alphabet. A 2023 paper applied Google's tensor processing units, chips built to accelerate machine learning, to tensor-network algorithms. As of October 2026, he works at Google Quantum AI.

Now at
Google
Works
217
Citations
38,547
h-index
78

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. 2004

    Simulating quantum spin chains

    In July 2004 he publishes, from Caltech's Institute for Quantum Information, a method for simulating time evolution in quantum spin chains and related systems.

  2. 2007

    Entanglement renormalization

    In 2007 he publishes Entanglement Renormalization in Physical Review Letters, proposing a real-space renormalization scheme for quantum systems on a D-dimensional lattice.

  3. May 2019

    The TensorNetwork library

    In May 2019 he co-authors TensorNetwork, an open source library for tensor network algorithms, with applications in physics and machine learning.

  4. September 2019

    Research scientist at Sandbox

    He is a Spanish physicist, and in September 2019 he becomes a research scientist at Sandbox @ Alphabet.

  5. 2020

    Tensor networks for image classification

    In 2020 he co-authors a study of entanglement and tensor networks for supervised image classification, a machine learning task.

  6. February 2023

    Tensor networks on TPUs

    In February 2023 PRX Quantum publishes his co-authored study of tensor network algorithms on Google's tensor processing units, which are built to accelerate machine learning.

  7. July 2026

    Reinforcement learning for error correction

    In July 2026 Nature publishes a Google Quantum AI paper on reinforcement-learning control of quantum error correction, which he co-authors.

  8. As of October 2026

    Working at Google Quantum AI

    He works at Google Quantum AI, and in April 2026 he speaks at an ICFO seminar on what quantum computers can do today.

Sources and credits

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  1. Efficient Simulation of One-Dimensional Quantum Many-Body Systems | Phys. Rev. Lett. journals.aps.org. Checked 15 October 2026.
  2. [cond-mat/0512165] Entanglement renormalization arxiv.org. Checked 15 October 2026.
  3. [1905.01330] TensorNetwork: A Library for Physics and Machine Learning arxiv.org. Checked 15 October 2026.
  4. Guifré Vidal - Wikipedia en.wikipedia.org. Checked 15 October 2026.
  5. [2007.06082] Entanglement and Tensor Networks for Supervised Image Classification arxiv.org. Checked 15 October 2026.
  6. Density Matrix Renormalization Group with Tensor Processing Units | PRX Quantum journals.aps.org. Checked 15 October 2026.
  7. Reinforcement learning control of quantum error correction | Nature nature.com. Checked 15 October 2026.
  8. GUIFRE VIDAL | ICFO icfo.eu. Checked 15 October 2026.