Alexander Del Toro Barba, PhD

Alexander is machine learning specialists and quantum computing practice lead at Google Cloud. After earning his PhD in 2018, he joined Google Cloud as AI specialist, where he collaborates with research, engineering, and product teams to support customers in building scalable machine learning solutions.

In 2020, Alexander became practice lead for AI/ML to develop a large community of ML engineers. Since 2022, he built up the quantum computing practice at Google Cloud. Alexander contributed to DeepMind research in 2020 and to Quantum AI research on quantum algorithms since 2022.

RESEARCH

🔭

quantum algorithms • quantum machine learning

My passion is quantum machine learning and natural sciences, particularly astrophysics. My long-term goal is to advance astrophysical research with quantum machine learning, such as detecting life on exoplanets with super-resolution imaging from quantum optics. Find all technical assets on Alexander's Github ➡.

PUBLICATIONS

American Physical Society

Analyzing Prospects for Quantum Advantage in Topological Data Analysis ,

PRX Quantum 5 (1), 010319 (2024)*

Science

Dynamics of magnetization at infinite temperature in a Heisenberg spin chain

Science 384, 48-53 (2024)

Stable quantum-correlated many-body states through engineered dissipation

Science 383, 1332-1337 (2024)

Nature

Thermalization and criticality on an analogue–digital quantum simulator

Nature 638, 79-85 (2025)

Phase transitions in Random Circuit Sampling

Nature 634, 328-333 (2024)

Measurement-induced entanglement and teleportation on a noisy quantum processor

Nature 622, 481–486 (2023)

Non-Abelian braiding of graph vertices in a superconducting processor

Nature 618, 264–269 (2023)

Suppressing quantum errors by scaling a surface code logical qubit

Nature 614, 676–681 (2023)

Formation of robust bound states of interacting microwave photons

Nature 612, 240–245 (2022)

arXiv

Demonstrating Dynamic Surface Codes

arXiv: 2412.14360 (2024)

Observation of disorder-free localization and efficient disorder averaging on a quantum processor

arXiv:2410.06557 (2024)

This publication list from Google Scholar include Google Quantum AI research milestone papers as team collaborator, as well as focus papers with direct contributions as an author*.

SPEAKER

(2024) Keynote about Quantum Machine Learning at ML Prague conference

(2023) Podcast about quantum computing on Spotify, Google or Apple

(2022) Conference on Quantum Technologies for High-Energy Physics at CERN