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QUBITWIRE 100 · 2026 SELECTION

Hidetoshi Nishimori

Professor; Head, Specialized Academy for Quantum Computing

Institute of Science Tokyo

Institute of Science Tokyo
Japan · work baseIdentification checked 2026-09-19
QUBITWIRE 1002026 selectionPermanent record

Recognized for

Helping establish quantum annealing as an approach to optimization, using statistical physics to investigate how quantum fluctuations can guide systems through complex energy landscapes and inform the design of computational methods.

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QubitWire 100, 2026 selection card for Hidetoshi Nishimori. For helping establish quantum annealing as an approach to optimization, using statistical physics to investigate how quantum fluctuations can guide systems through complex energy landscapes and inform the design of computational methods.

Hidetoshi Nishimori
Selected for the QubitWire 100, 2026.
For helping establish quantum annealing as an approach to optimization, using statistical physics to investigate how quantum fluctuations can guide systems through complex energy landscapes and inform the design of computational methods.
https://qubitwire.com/people/2026#hidetoshi-nishimori

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WHY INCLUDED

Helped establish quantum annealing as an approach to optimization, using statistical physics to investigate how quantum fluctuations guide systems through difficult energy landscapes.

arXivarXiv

Nishimori connects quantum computation with the statistical mechanics of complex systems. His work with Tadashi Kadowaki introduced quantum annealing in a transverse-field Ising model, making quantum fluctuations a controllable ingredient in optimization. Later research with Yuya Seki investigated how changing those fluctuations can alter the phase transitions that obstruct an annealing process. These results provide concepts and testable models for an important computing approach. They do not establish a universal speedup over classical optimization methods.

Institute of Science TokyoarXivarXiv

The work behind the recognition

Work, in context
  1. 1998

    Proposing quantum annealing

    With Tadashi Kadowaki, introduced quantum annealing in a transverse Ising model and compared its behavior numerically with thermal annealing on small systems.

    Coauthor with Tadashi Kadowaki of the transverse-Ising quantum-annealing proposal.

    Source-supported recordarXiv
  2. 2012

    Changing the annealing landscape

    With Yuya Seki, investigated antiferromagnetic quantum fluctuations that can avoid first-order transitions in selected infinite-range spin models, identifying a possible route to improved annealing.

    Coauthor with Yuya Seki of the model-specific annealing analysis.

    Source-supported recordarXiv

Keep in perspective

Annealing advantages depend on the problem and physical model; no general computational advantage is asserted.

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.

Hidetoshi Nishimori
Contributed to
Supported by

Proposing quantum annealing

Credit & limits: Coauthor with Tadashi Kadowaki of the transverse-Ising quantum-annealing proposal.

Read the full contribution
Contributions and their source records
ContributionEvidence & what it supportsCredit & limits
Proposing quantum annealing1998
Primary paperQuantum Annealing in the Transverse Ising Model

Coauthorship, quantum annealing proposal and model comparison

Published 25 Apr 1998 · Checked 19 Sept 2026
Coauthor with Tadashi Kadowaki of the transverse-Ising quantum-annealing proposal.
Changing the annealing landscape2012
Primary paperQuantum annealing with antiferromagnetic fluctuations

Coauthorship and model-specific transition analysis

Published 12 Mar 2012 · Checked 19 Sept 2026
Coauthor with Yuya Seki of the model-specific annealing analysis.

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.