Coherence-Regulated Variational Quantum Eigensolver: An Exploratory H₄ Benchmark Based on a Published Decoherence Law
Arturo Cerezo, IA Collaborative Panel — Claude (Anthropic) • ChatGPT (OpenAI) • Gemini (Google) • Grok (xAI)
Exploratory Benchmark — Applied Quantum Computing Track This record presents the first applied benchmark in the quantum computing track of the Radial Coherential Dynamics (RCD) research program. Building upon the previously published decoherence suppression model (Topological Decoherence Suppression via Coherential Geometry, Zenodo, December 2025, DOI: 10.5281/zenodo.18000641), which predicts a √α reduction of effective dephasing rates (α ≈ 1.3×10⁻⁴), this work explores the implications of that fixed decoherence law for variational quantum algorithms operating under noisy conditions. As an exploratory benchmark, the RCD noise suppression law (γ₍RCD₎ = γ₀√α) is applied to a Variational Quantum Eigensolver (VQE) simulation targeting the H₄ molecule in rectangular geometry. A controlled A/B methodology is employed: identical VQE simulations are performed using standard noise parameters (control) and RCD-regulated noise parameters (treatment), with all Hamiltonian, ansatz, optimizer, and geometry settings held fixed. This work does not claim molecular validation of RCD. Rather, it investigates whether a decoherence suppression law—previously established for single-qubit dynamics—produces observable effects when transferred, without additional tuning, to multi-qubit variational algorithms. All code, data, and figures are provided for independent evaluation by the scientific community. Guiding principle: “We do not use quantum computing as an oracle, but as a controlled laboratory of coherence.”
•Dec 24, 2025•0 citations