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Grigory Koroteev

Publications and source records attributed to Grigory Koroteev.

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Natural Qubit Algebra: clarification of the Clifford boundary and new non-embeddability theorem

We introduce Natural Qubit Algebra (NQA), a compact real operator calculus for qubit systems based on a $2\times2$ block alphabet $\{I,X,Z,W\}\subset\mathrm{Mat}(2,\mathbb{R})$ and tensor-word representations. The resulting multiplication law induces a canonical $(\mathbb{Z}_2)^{2m}$-grading with a bicharacter that controls commutation signs, placing the framework naturally within the theory of color-graded and Clifford-type algebras. Within this language, we provide: (i) an explicit real Clifford normal form for two-qubit operators via the identification $\mathrm{Mat}(4,\mathbb{R})\cong\mathrm{Cl}(2,2;\mathbb{R})$; (ii) a purely algebraic reformulation of the Bell--CHSH scenario, where the quantum violation is expressed as a spectral non-embeddability of a noncommutative spinor algebra into any commutative Kolmogorov algebra; and (iii) compact factored representations of the Bernstein--Vazirani and Grover phase oracles, showing that both Clifford and non-Clifford examples can admit similarly structured symbolic descriptions. We clarify that Grover's iterate remains outside the Clifford group due to its continuous spectral rotation, consistent with the Gottesman--Knill theorem, while retaining a compact tensor-block form in NQA. The framework isolates spectral, algebraic, and syntactic aspects of operator structure, providing a graded operator language compatible with standard quantum mechanics.

quant-ph

Quasi-van Hove singularities informed approach improving DOS/pDOS predictions in GNN

In this paper, we introduce an extension of the concept of Van Hoff singularities in order to explicitly use them in machine learning methods of models as a priori information. The claimed method becomes possible when, instead of directly calculating the density of quantum states, we operate with estimates obtained by machine learning methods. Then, determining additional information allows us to organize post-processing, which significantly improves the quality of model prediction. Analytically, the effect is similar to Van Hove singularities of high order due to the additional degree of degeneracy of the system. As a mechanism for redistributing information about the system, we propose regularization, which is close in meaning to taking into account Fisher information.

quant-ph