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Quantum Machine Learning
Quantum Compilation Routing Architecture
Simulating Circuit Layout for Distributed Quantum Computing
arXiv
Authors: Sen Zhang, Yipie Liu, Brian Mark, Weiwen Jiang, Zebo Yang, Lei Yang
Year
2025
Paper ID
36244
Status
Preprint
Abstract Read
~2 min
Abstract Words
35
Citations
N/A
Abstract
The proposed framework represents the first tool to compile a quantum circuit across photonic-connected distributed quantum processors. Its design follows a divide-and-conquer paradigm for circuit partitioning, transpilation, and assembly, producing simulable and implementable circuit layouts.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- The proposed framework represents the first tool to compile a quantum circuit across photonic-connected distributed quantum processors.
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