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Updated: Feb 23, 2026

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
Published on: August 2, 2019
Synthesis of Arbitrary Quantum Circuits to Topological Assembly: Systematic, Online and Compact
Alexandru Paler1, Austin G Fowler2, Robert Wille3
1Johannes Kepler University/Linz Institute of Technology, Linz, 4040, Austria. alexandru.paler@jku.at.
This study introduces a new method for efficiently placing distillation boxes in quantum error correction circuits, minimizing resource overhead. The developed software provides a systematic approach for synthesizing surface code-compatible quantum computations.
Area of Science:
- Quantum computing
- Quantum error correction
- Topological quantum error correction
Background:
- Transforming arbitrary quantum circuits into surface code-compatible forms is challenging.
- Efficient placement of magic state distillation sub-circuits (distillation boxes) is crucial for minimizing overhead in quantum error correction.
Purpose of the Study:
- To present a general, systematic, and online method for synthesizing quantum circuits protected by surface codes.
- To develop a greedy scheduler for compact distillation box placement, reducing resource overhead.
Main Methods:
- A novel online synthesis method for quantum circuits compatible with surface codes.
- Implementation of a greedy scheduler to control distillation box placement within the space-time volume.
- Utilizing the developed software (tqec) for synthesis and optimization.
Main Results:
- Demonstration of a systematic approach for efficient distillation box placement.
- Generation of compact box placements using the greedy scheduler.
- Illustrative synthesis examples and discussion of improvements.
Conclusions:
- The proposed method offers a general and systematic solution for synthesizing surface code-protected quantum circuits.
- The greedy scheduler effectively minimizes overhead through compact distillation box placements.
- The developed software provides a practical tool for quantum circuit synthesis and optimization.
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