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QUBITWIRE 100 · 2026 SELECTION

Sergio Boixo

Quantum-computing researcher

Google Quantum AI

Google Research
Identification checked 2026-09-19
QUBITWIRE 1002026 selectionPermanent record

Recognized for

Connecting quantum complexity theory with superconducting-processor experiments through random-circuit sampling and cross-entropy benchmarking, helping define specific tasks and measurements through which claims of computational advantage can be examined.

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QubitWire 100, 2026 selection card for Sergio Boixo. For connecting quantum complexity theory with superconducting-processor experiments through random-circuit sampling and cross-entropy benchmarking, helping define specific tasks and measurements through which claims of computational advantage can be examined.

Sergio Boixo
Selected for the QubitWire 100, 2026.
For connecting quantum complexity theory with superconducting-processor experiments through random-circuit sampling and cross-entropy benchmarking, helping define specific tasks and measurements through which claims of computational advantage can be examined.
https://qubitwire.com/people/2026#sergio-boixo

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WHY INCLUDED

Boixo connects complexity theory and experiment through random-circuit sampling and cross-entropy benchmarking, helping researchers evaluate the behavior and computational demands of superconducting quantum processors.

Google ResearcharXiv / Nature PhysicsNature

Boixo’s work helps turn an abstract claim of quantum advantage into a defined experimental task. His research with collaborators proposed random-circuit sampling and cross-entropy methods for comparing measured outputs with circuit expectations. He also coauthored the Sycamore experiment, which applied this approach to a 53-qubit processor. These contributions connect theory, classical simulation and hardware measurement. The profile treats the experiment as a task-specific historical milestone; it does not carry forward an old classical-runtime estimate as a permanent record or imply an advantage for useful applications generally.

Google ResearcharXiv / Nature PhysicsNature

The work behind the recognition

Work, in context
  1. 2018

    Designing a test for complex quantum circuits

    Boixo and collaborators studied random-circuit sampling and introduced cross-entropy benchmarking as a way to estimate circuit performance where classical simulation is available. The work combined complexity arguments with extensive simulation to outline an experimental test of difficult-to-simulate quantum dynamics.

    Sergio Boixo was first author of the collaborative random-circuit sampling and cross-entropy study.

    Source-supported recordarXiv / Nature Physics
  2. 2019

    Contributing to the Sycamore sampling experiment

    Boixo coauthored Google’s experiment sampling the output of programmable superconducting circuits on 53 qubits. It linked a functioning processor with a defined computational task and a classical comparison. Its significance is specific to sampling and verification, rather than a demonstration of broad practical quantum advantage.

    Sergio Boixo was a coauthor of the multi-institution Sycamore experiment; no sole hardware or experiment credit is assigned.

    Source-supported recordNature

Keep in perspective

No current classical-runtime comparison is inferred from the 2019 paper.

Reviewed Google profile supports researcher identification but not a precise current job title or individual work-base country.

FOLLOW THE RECORD

The evidence map

Both views link each contribution to its sources. Choose a contribution on the map or read them all in the list.

Sergio Boixo
Contributed to
Supported by

Designing a test for complex quantum circuits

Credit & limits: Sergio Boixo was first author of the collaborative random-circuit sampling and cross-entropy study.

Read the full contribution
Contributions and their source records
ContributionEvidence & what it supportsCredit & limits
Designing a test for complex quantum circuits2018
Primary paperCharacterizing Quantum Supremacy in Near-Term Devices

Boixo first authorship, random-circuit sampling and cross-entropy method; journal year used.

Published 2018 · Checked 19 Sept 2026
Sergio Boixo was first author of the collaborative random-circuit sampling and cross-entropy study.
Contributing to the Sycamore sampling experiment2019
Primary paperQuantum supremacy using a programmable superconducting processor

Boixo coauthorship and 53-qubit sampling demonstration.

Published 23 Oct 2019 · Checked 19 Sept 2026
Sergio Boixo was a coauthor of the multi-institution Sycamore experiment; no sole hardware or experiment credit is assigned.

Follow the evidence

3 sources

Primary papers, institutional records and attributed announcements. Each source supports the claims linked above.

QubitWire editorial · Content edition 2026-09-19.1Independent coverage. Inclusion does not imply endorsement.