Quantum Annealing, Rotating Detonation Engine (RDE), Hypersonic Propulsion, Optimization, Computational Fluid Dynamics (CFD)
| Published in | American Journal of Aerospace Engineering (Volume 11, Issue 2) |
| DOI | 10.11648/j.ajae.20251102.14 |
| Page(s) | 46-53 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
This study presents a quantum-driven computational framework for optimizing rotating detonation engine (RDE) configurations in hypersonic propulsion systems. The proposed framework integrates quantum annealing algorithms with high-fidelity computational fluid dynamics (CFD) to overcome the prohibitive computational cost and nonlinearity of detonation stability optimization. The RDE design parameters such as injector spacing, diameter, and injection angle are encoded as a Quadratic Unconstrained Binary Optimization (QUBO) problem and solved using a D-Wave Advantage quantum annealer. A hybrid quantum classical workflow is then used to evaluate and refine candidate solutions through reduced-order CFD simulations. Results demonstrate that quantum-driven optimization identifies injector geometries that improve detonation wave stability by 28%, reduce pressure oscillation amplitudes by 58%, and enhance the thrust-to-weight ratio by approximately 15% compared with conventional designs. The optimized injector configuration suppresses parasitic detonation modes and extends stable single-wave operation to equivalence ratios up to 1.4. These findings highlight the potential of quantum annealing to explore high-dimensional design spaces and to accelerate the development of next-generation propulsion systems. Beyond RDEs, the methodology provides a scalable template for applying quantum computing to other fluid-structure optimization problems in aerospace engineering.
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APA Style
Sharma, A., Saluti, D. (2025). Quantum-Driven Rotating Detonation Engine Optimization for Hypersonic Propulsion Systems. American Journal of Aerospace Engineering, 11(2), 46-53. https://doi.org/10.11648/j.ajae.20251102.14
ACS Style
Sharma, A.; Saluti, D. Quantum-Driven Rotating Detonation Engine Optimization for Hypersonic Propulsion Systems. Am. J. Aerosp. Eng. 2025, 11(2), 46-53. doi: 10.11648/j.ajae.20251102.14
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Download@article{10.11648/j.ajae.20251102.14,
author = {Ashutosh Sharma and Dean Saluti},
title = {Quantum-Driven Rotating Detonation Engine Optimization for Hypersonic Propulsion Systems
},
journal = {American Journal of Aerospace Engineering},
volume = {11},
number = {2},
pages = {46-53},
doi = {10.11648/j.ajae.20251102.14},
url = {https://doi.org/10.11648/j.ajae.20251102.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajae.20251102.14},
abstract = {Quantum Annealing, Rotating Detonation Engine (RDE), Hypersonic Propulsion, Optimization, Computational Fluid Dynamics (CFD)
},
year = {2025}
}
TY - JOUR T1 - Quantum-Driven Rotating Detonation Engine Optimization for Hypersonic Propulsion Systems AU - Ashutosh Sharma AU - Dean Saluti Y1 - 2025/12/03 PY - 2025 N1 - https://doi.org/10.11648/j.ajae.20251102.14 DO - 10.11648/j.ajae.20251102.14 T2 - American Journal of Aerospace Engineering JF - American Journal of Aerospace Engineering JO - American Journal of Aerospace Engineering SP - 46 EP - 53 PB - Science Publishing Group SN - 2376-4821 UR - https://doi.org/10.11648/j.ajae.20251102.14 AB - Quantum Annealing, Rotating Detonation Engine (RDE), Hypersonic Propulsion, Optimization, Computational Fluid Dynamics (CFD) VL - 11 IS - 2 ER -
Fisher College, Boston, United States
Fisher College, Boston, United States
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