Adaptive Rotation for iSOMA: Geometry, Benchmarking, and Noise Robustness in Variational Quantum Objectives

arXiv:2609.37193 · cs.NE, quant-ph · Submitted 2026-09-29 · Read on arXiv

cs.NE, quant-ph

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/VojtechNovak/iSOMA-AR

Terminology

• Benchmark — 23× in this paper · explained in 2 episodes
• Adaptation — 15× in this paper · explained in 1 episode
• Ablation — 13× in this paper · explained in 1 episode
• Robustness — 11× in this paper · explained in 5 episodes
• Differential Evolution — 10× in this paper
• Regret — 6× in this paper · explained in 3 episodes
• Self-Organizing Migrating Algorithm — 6× in this paper
• Benchmarking — 5× in this paper · explained in 4 episodes
• IEEE Congress on Evolutionary Computation — 4× in this paper
• Computational overhead — 3× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Anisotropy — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• In the Variational Quantum Eigensolver — 1× in this paper
• Online Adaptation — 1× in this paper · explained in 3 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Variational Quantum Eigensolver (VQE) — 1× in this paper · explained in 5 episodes

Sources

• Numerical Optimization Strategies for the Variational Hamiltonian Ansatz in Noisy Quantum Environments
• Statistical Benchmarking of Optimization Methods for Variational Quantum Eigensolver under Quantum Noise
• Reliable Optimization Under Noise in Quantum Variational Algorithms
• Classical Optimization Strategies for Variational Quantum Algorithms: A Systematic Study of Noise Effects and Parameter Efficiency
• Linear Proposal Operators and Stochastic Search Geometry in SOMA and Differential Evolution
• COCO: Performance Assessment

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