arXiv — NLP / Computation & Language · · 4 min read

QuantumPhaseNet: A Gauge-Covariant Geometric and Quantum-Spectral Theory of Semantic Concept Hierarchies with Prototype Validation of a Classical Quantum-Inspired Model

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Computer Science > Computation and Language

arXiv:2608.15820 (cs)
[Submitted on 16 Aug 2026]

Title:QuantumPhaseNet: A Gauge-Covariant Geometric and Quantum-Spectral Theory of Semantic Concept Hierarchies with Prototype Validation of a Classical Quantum-Inspired Model

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Abstract:We present QuantumPhaseNet, a gauge-covariant geometric and quantum-spectral extension of Transformer representations. Context-dependent semantic states are modeled as complex amplitudes; a covariant phase rate induces a semantic wavelength used as a proxy for conceptual scale; and low-frequency graph modes define a document-level discourse direction. The theoretical part establishes local gauge invariance, unitarity of the quantum block, boundedness and conditional stability of WavePhase Attention, and a calibratable hallucination-risk formulation. We also implemented a fully offline Validation Studio for the classical quantum-inspired pipeline in Section 14.1 and evaluated the five research questions in Section 16.1 on its built-in synthetic setting (n=240, observation noise 0.22, circuit noise 0.08, five seeds). RQ1 yielded a wavelength-hierarchy Spearman correlation of 0.852 versus 0.707 for the baseline, 87.3% direction accuracy, and AUC 0.953. RQ2 achieved discourse alignment 0.933 versus 0.589 and 41.2 versus 16.2 paragraphs before drift. RQ3 achieved AUROC 0.881 versus cosine 0.765 and phase-shuffle 0.536. RQ4 achieved error-detection AUROC 0.854 versus entropy 0.634, with Brier 0.150 and ECE 0.098. RQ5 did not show quantum advantage: target probability and end-to-end cost efficiency were 25.5% and 0.107, compared with 70.7% and 0.707 for the Chebyshev classical approximation. These results provide initial synthetic evidence for the classical quantum-inspired components, but not external validity or unconditional quantum speedup.
Comments: [PAGES] pages, 8 figures, 4 tables. Extends arXiv:2602.14419 (WavePhaseNet). Includes prototype validation with an offline Validation Studio; RQ5 reports a negative result for quantum advantage
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
Cite as: arXiv:2608.15820 [cs.CL]
  (or arXiv:2608.15820v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2608.15820
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Kiyotaka Kasubuchi [view email]
[v1] Sun, 16 Aug 2026 15:52:50 UTC (76 KB)
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