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Updated: Jul 17, 2026

15:47
Nanofabrication of Gate-defined GaAs/AlGaAs Lateral Quantum Dots
Published on: November 1, 2013
Universal gates from braiding and fusing anyons on quantum hardware.
Chiu Fan Bowen Lo1, Anasuya Lyons2, Dan Gresh3
1Department of Physics, Harvard University, Cambridge, MA, USA. chiufanbowenlo@g.harvard.edu.
Nature
|July 15, 2026
Summary
Topological quantum computation using anyon fusion in S3 states enables universal quantum gates. This approach overcomes limitations of braiding-only methods, paving the way for scalable quantum computing.
Area of Science:
- Quantum Information Science
- Condensed Matter Physics
- Quantum Computing
Background:
- Quantum computers need global information manipulation for noise resilience.
- Topologically ordered phases offer encoding in ground states or anyonic excitations.
- Toric codes lack universal gates; braiding non-Abelian anyons is key for topological quantum computation.
Purpose of the Study:
- Demonstrate that anyon fusion can achieve universality in minimally non-Abelian topological states.
- Showcase the S3 topologically ordered state as a platform for universal quantum computation.
- Explore new pathways for quantum information manipulation using quantum matter properties.
Main Methods:
- Prepared a 54-qubit ground state of the quantum double of S3 on Quantinuum's H2 processor.
- Encoded logical information in the global fusion space of non-Abelian anyons.
- Combined braiding with anyon fusion to realize a universal topological gate set.
Main Results:
- Achieved universality in S3 topologically ordered states by incorporating anyon fusion.
- Successfully realized and read-out a universal topological gate set.
- Demonstrated topological preparation of a magic state using the S3 system.
Conclusions:
- The S3 topologically ordered state is scalable and sufficient for universal quantum computation.
- Anyon fusion is a viable computational primitive for topological quantum computers.
- This work advances the use of quantum matter for robust quantum information processing.
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