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In-memory multilevel control of generic SO(m) holonomy in photonics
Youlve Chen1, Jiaxin Zhang2, Jinlong Xiang1
1State Key Laboratory of Photonics and Communications, School of Information and Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China.
Nature Communications
|February 7, 2026
Summary
This study introduces tunable geometric phases for photonic quantum computing using a novel silicon platform. This innovation enables robust, reconfigurable optical operations crucial for fault-tolerant quantum information processing.
Area of Science:
- Quantum Information Science
- Photonics
- Materials Science
Background:
- Non-Abelian geometric phases are key for fault-tolerant holonomic quantum computation.
- Photonic implementations have lacked tunability, hindering advanced optical information processing.
Purpose of the Study:
- To demonstrate tunable, nonvolatile geometric phases on a silicon photonic platform.
- To enable robust, reconfigurable high-dimensional operations in integrated optical systems.
Main Methods:
- Utilized a multilayer silicon photonic platform with Sb₂Se₃ phase-change material.
- Dynamically controlled geometric phases by toggling Sb₂Se₃ between crystalline and amorphous states.
- Enabled switching between different holonomic paths and special-orthogonal (SO) geometric transformations.
Main Results:
- Demonstrated nonvolatile multilevel tunable generic SO geometric phases.
- Achieved dynamic control over the number of degenerate states for holonomy.
- Successfully switched between different holonomic paths and SO(m) geometric transformations.
Conclusions:
- Bridged the gap between geometric-phase control and reconfigurable photonics.
- Established a paradigm for fault-tolerant, high-dimensional operations in integrated photonics.
- Paved the way for robust quantum information processing in photonic systems.
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