Work

BAHAMAS: A Control Plane for Optimization and Execution of Variational Quantum Circuits

Year: 2026

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2608.28811

Authors: Samanta, Amit, Hasanat, Mohammad Abrarul, Ludmir, Jason, Stutsman, Ryan, Patel, Tirthak, Roy, Rohan Basu

Institutions: University of Utah, Rice University

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: U.S. Department of Energy, Rice University, National Energy Research Scientific Computing Center, Office of Science

Awards: G122673668, G1286236842, G1677143136, G3083819904, G419881185, G42916606, G4501827968, G498139845, G5076365615, G6652958823, G969889393

OpenAlex ID: W7154690173

Cites: 62

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Related to: 10