Real Matrix Representations of Quantum Operators: An Introduction to Quantum Index Algebra
A.Yu. Volkov, G.A. Koroteev, Yu.S. Volkov

TL;DR
This paper introduces Quantum Index Algebra (QIA), a finite algebraic framework for representing quantum operators that enables exact reformulation of quantum algorithms like Bernstein-Vazirani using combinatorial and algebraic methods, offering insights into quantum speed-up.
Contribution
The paper presents QIA, a novel finite algebraic formalism for quantum operators that unifies combinatorial, matrix, and transform properties, and demonstrates its application to quantum algorithms.
Findings
QIA reproduces Bernstein-Vazirani algorithm exactly.
QIA achieves the same asymptotic query complexity as standard quantum methods.
Quantum speed-up can be attributed to operator structure, not Hilbert space size.
Abstract
We introduce Quantum Index Algebra (QIA) as a finite, index-based algebraic framework for representing and manipulating quantum operators on Hilbert spaces of dimension . In QIA, operators are expressed as structured combinations of basis elements indexed by Boolean codes, allowing products, commutators, and conjugations to be computed through finite rules on discrete indices rather than through dense matrix arithmetic. This representation unifies combinatorial index structure, explicit matrix realization, and transformation properties under Walsh-Hadamard-type transforms within a single formalism. Using QIA and its associated block-matrix realization, we reformulate the Bernstein-Vazirani hidden-string problem in its phase-oracle form entirely within a real, finite-dimensional algebraic setting. We show that, under structured oracle access, the QIA procedure reproduces the…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Complexity and Algorithms in Graphs
