Alexander Del Toro Barba, PhD

Alexander is quantum computing and machine learning practice lead at Google Cloud. After earning his PhD, he joined Google in 2018 as ML specialist. In 2020, he became practice lead and contributed to DeepMind research. Since 2022, Alexander leads the quantum practice at Google Cloud, where he collaborates with Google Quantum AI research.

RESEARCH

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quantum algorithms • quantum machine learning

My passion are quantum algorithms, particularly quantum machine learning, searching for exponential separations between classical and quantum learners. My favorite topics are quantum linear algebra, dequantization and topological data analysis.

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

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

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

arXiv:2410.06557 (2024)

Thermalization and Criticality on an Analog-Digital Quantum Simulator

arXiv:2405.17385 (2024)

This publication list includes Google Quantum AI research milestone papers as a team collaborator, and 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

ASSETS

(2024) Identifying topological invariants with quantum topological data analysis

(2024) More articles about quantum algorithms on medium.com/@deltorobarba

(2022) Introduction to Quantum Programming with Cirq and TensorFlow Quantum

CURRICULUM

(2022) Global practice lead for quantum computing at Google Cloud

(2020) Contributing to DeepMind on AI research for Google Cloud

(2018) Machine learning specialist at Google Cloud

(2018) PhD in computational finance (economics) on machine learning for financial market stability at University of Münster