ScaffCC: Scalable Compilation and Analysis of Quantum Programs
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Abstract (arXiv)
We present ScaffCC, a scalable compilation and analysis framework based on LLVM, which can be used for compiling quantum computing applications at the logical level. Drawing upon mature compiler technologies, we discuss similarities and differences between compilation of classical and quantum programs, and adapt our methods to optimizing the compilation time and output for the quantum case. Our work also integrates a reversible-logic synthesis tool in the compiler to facilitate coding of quantum circuits. Lastly, we present some useful quantum program analysis scenarios and discuss their implications, specifically with an elaborate discussion of timing analysis for critical path estimation. Our work focuses on bridging the gap between high-level quantum algorithm specifi- cations and low-level physical implementations, while providing good scalability to larger and more interesting problems
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Jul 2015.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 0; 2025: 0; 2026: 1.
5 papers.
- 2021Recent advances for quantum classifierscited by 35
- 2022Quantum Neural Network Classifiers: A Tutorialcited by 13
- 2023qgym: A Gym for Training and Benchmarking RL-Based Quantum Compilationcited by 5
- 2022Quantum compiling with a variational instruction set for accurate and fast quantum computingcited by 3
- 2026AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimizationcited by 0
- 2026AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization13 Aug 2026
- 2023qgym: A Gym for Training and Benchmarking RL-Based Quantum Compilation1 Aug 2023
- 2022Quantum Neural Network Classifiers: A Tutorial6 Jun 2022
- 2022Quantum compiling with a variational instruction set for accurate and fast quantum computing29 Mar 2022
- 2021Recent advances for quantum classifiers30 Aug 2021