Comparative Analysis of Quantum Intermediate Representation Generation Methods
- DOI
- 10.2991/978-94-6239-628-9_15How to use a DOI?
- Keywords
- Quantum Computing; Quantum Intermediate Representation (QIR); Quantum Compilers; Hybrid Classical-Quantum Systems; Quantum Optimization
- Abstract
In this survey, there is a systematic assessment of the existing plans of manufacturing Quantum. Their ability to make Intermediate Representations (QIRs) sell optimization solutions to problems, plasticity in the both hardware and verification. We survey the existent methodologies and identify them in four waves, i.e. language-derived paradigm, multi-level paradigm, classically-quantum and hybrid classical-quantum paradigm and hybrid formally verified and verify their performance in some major parameters, i.e., circuit depth reduction, compilation transversal and cross-operating system portability. We find that the optimal compromise of performance and reliability is realised on hybrid systems that combine classical Compiler with extensions supporting quantum, in which current tools (note that we are not exist and future designs, which implement quantum provide technology at the center of the research significant enhancement of optimization ability and black box testing of the verification suite. Nevertheless, essential there are problems within the development of the new quantum paradigms supporter, temporal optimization and error correction incorporation. An outlook is provided at the end of the paper on the creation of next generation QIR with a special emphasis on the need to have verifiable, quantifiable frameworks that maintain optimization at the various levels transparent. This paper can be used as are source on both the technical community designing quantum compilers in addition to a roadmap that researchers should pursue in this various area of QIR.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Kuldeep Vayadande AU - Yogesh Bodhe AU - Aditya Dharashivkar AU - Aary Bokil AU - Atharv Pawar AU - Mahesh Kotkar AU - Samiksha Channawar PY - 2026 DA - 2026/03/31 TI - Comparative Analysis of Quantum Intermediate Representation Generation Methods BT - Proceedings of the International Conference on Recent Trends in Intelligent Computing, Manufacturing, and Electronics (rTIME 2025) PB - Atlantis Press SP - 153 EP - 163 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6239-628-9_15 DO - 10.2991/978-94-6239-628-9_15 ID - Vayadande2026 ER -