PreprintCC BY 4.0arXiv
BAHAMAS: A Control Plane for Optimization and Execution of Variational Quantum Circuits
Abstract
Variational quantum algorithms (VQAs) suffer from unstable optimization due to temporal noise drift and static qubit mappings that distort gradient signals across iterations. We present BAHAMAS, an online control framework that stabilizes noise exposure by adaptively selecting physical mappings via consensus-based fidelity estimation, without requiring simulators, offline training, or prior executions. Across real quantum devices, BAHAMAS improves optimization reliability and supports inference-time retargeting under drift through robust, per-iteration control.
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BibTeX
@misc{samanta2026bahamas,
title = {{BAHAMAS: A Control Plane for Optimization and Execution of Variational Quantum Circuits}},
author = {Amit Samanta and Mohammad Abrarul Hasanat and Jason Ludmir and Ryan Stutsman and Tirthak Patel and Rohan Basu Roy},
howpublished = {arXiv},
year = {2026},
month = aug,
doi = {10.48550/arxiv.2608.28811},
eprint = {2608.28811},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2608.28811},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - BAHAMAS: A Control Plane for Optimization and Execution of Variational Quantum Circuits
AU - Amit Samanta
AU - Mohammad Abrarul Hasanat
AU - Jason Ludmir
AU - Ryan Stutsman
AU - Tirthak Patel
AU - Rohan Basu Roy
PY - 2026
DA - 2026/08/28
PB - arXiv
DO - 10.48550/arxiv.2608.28811
UR - https://arxiv.org/abs/2608.28811
AB - Variational quantum algorithms (VQAs) suffer from unstable optimization due to temporal noise drift and static qubit mappings that distort gradient signals across iterations. We present BAHAMAS, an online control framework that stabilizes noise exposure by adaptively selecting physical mappings via consensus-based fidelity estimation, without requiring simulators, offline training, or prior executions. Across real quantum devices, BAHAMAS improves optimization reliability and supports inference-time retargeting under drift through robust, per-iteration control.
ER -