We introduce a unified algebraic framework for quantum computation based on finite trigonometric near-rings. Motivated by unification ideas in physics, the proposed structure connects trigonometric functions, non-commutative algebra, and quantum gate operations within a single finite system. By constructing near-rings generated by discrete phase operators and the Hadamard operator, we show that quantum phase interference and basis transformations naturally give rise to non-commutative near-ring structures. The developed framework generalizes earlier Heisenberg-type matrix near-rings to a trigonometric setting, providing a discrete algebraic model for quantum circuits involving phase and Clifford gates. Explicit finite examples including a non-commutative near-ring of order sixteen are presented to illustrate the theory. This approach offers a conceptually simple yet mathematically rigorous bridge between trigonometry and quantum computation and highlights the relevance of near-ring theory as a foundational tool for modeling finite quantum systems.
We introduce a unified algebraic framework for quantum computation based on finite trigonometric near-rings. Motivated by unification ideas in physics, the proposed structure connects trigonometric functions, non-commutative algebra, and quantum gate operations within a single finite system. By constructing near-rings generated by discrete phase operators and the Hadamard operator, we show that quantum phase interference and basis transformations naturally give rise to non-commutative near-ring structures. The developed framework generalizes earlier Heisenberg-type matrix near-rings to a trigonometric setting, providing a discrete algebraic model for quantum circuits involving phase and Clifford gates. Explicit finite examples including a non-commutative near-ring of order sixteen are presented to illustrate the theory. This approach offers a conceptually simple yet mathematically rigorous bridge between trigonometry and quantum computation and highlights the relevance of near-ring theory as a foundational tool for modeling finite quantum systems.
We propose a unified framework where algebraic structures, rather than geometry, serve as the foundation of quantum theory. We derive the Hilbert space, canonical operators, and the uncertainty principle from an underlying algebra. The Number System Operator (NSO) model emerges as a concrete realization, linking precision (k), numerical base (B), and measurable quantities. We prove the non-commutativity of NSO projectors, introducing a “digital noise” as a new, testable form of uncertainty. We analyze its scale relative to Planck units and demonstrate Lorentz covariance of the NSO procedure, ensuring compatibility with special relativity. A roadmap for experimental verification is provided, suggesting high-precision spectroscopy, atomic clocks, and gravitational-wave interferometers as potential tests. This framework transforms conceptual ideas into a computable and physically relevant theory, bridging foundational physics, computation, and measurable predictions.
This work introduces a complete and self-consistent framework for quantum computation within the domain of real-valued quantum mechanics. Standard quantum computation is predicated on the manipulation of states in a complex Hilbert space, where a complex phase is a critical resource. We demonstrate that this complex structure is not fundamental but can be fully reproduced by a real-operator algebra. Our formalism is built upon a rigorous algebraic isomorphism between the imaginary unit i and the temporal Hilbert transform operator Ht, which acts as a physical generator of phase. Leveraging this isomorphism, we systematically redefine the fundamental quantum logic gates-including the Pauli, Hadamard, phase rotation, and CNOT gates-entirely within a real operator algebra. We prove that each gate's action on a real-valued qubit state representation is mathematically and operationally equivalent to its conventional complex counterpart. The Pauli-Y, phase, and controlled-phase gates, which are intrinsically complex in the standard model, are shown to correspond to real-operator matrices involving the Hilbert transform. This formulation provides a physically grounded interpretation of quantum logic, where abstract phase manipulation corresponds to the application of a concrete, albeit non-local, integral transform. We demonstrate how this framework correctly reproduces the generation of quantum entanglement and establishes a consistent measurement theory via an Analytic Born Rule in Unified Quantum Mechanics. This work solidifies the viability of a complete real-valued model for quantum information processing and suggests new paradigms for the physical implementation of quantum hardware.
(Abridged abstract.) In this thesis we introduce new models of quantum computation to study the emergence of quantum speed-up in quantum computer algorithms. Our first contribution is a formalism of restricted quantum operations, named normalizer circuit formalism, based on algebraic extensions of the qubit Clifford gates (CNOT, Hadamard and π/4-phase gates): a normalizer circuit consists of quantum Fourier transforms (QFTs), automorphism gates and quadratic phase gates associated to a set G, which is either an abelian group or abelian hypergroup. Though Clifford circuits are efficiently classically simulable, we show that normalizer circuit models encompass Shor's celebrated factoring algorithm and the quantum algorithms for abelian Hidden Subgroup Problems. We develop classical-simulation techniques to characterize under which scenarios normalizer circuits provide quantum speed-ups. Finally, we devise new quantum algorithms for finding hidden hyperstructures. The results offer new insights into the source of quantum speed-ups for several algebraic problems. Our second contribution is an algebraic (group- and hypergroup-theoretic) framework for describing quantum many-body states and classically simulating quantum circuits. Our framework extends Gottesman's Pauli Stabilizer Formalism (PSF), wherein quantum states are written as joint eigenspaces of stabilizer groups of commuting Pauli operators: while the PSF is valid for qubit/qudit systems, our formalism can be applied to discrete- and continuous-variable systems, hybrid settings, and anyonic systems. These results enlarge the known families of quantum processes that can be efficiently classically simulated. This thesis also establishes a precise connection between Shor's quantum algorithm and the stabilizer formalism, revealing a common mathematical structure in several quantum speed-ups and error-correcting codes.
Quantum computation is, at bottom, a branch of applied algebra and functional analysis: the state of a quantum register is a unit vector in a finite-dimensional complex Hilbert space, computation is the action of the unitary group on that space, and the structure of the most important quantum algorithms is dictated by the representation theory of finite and continuous groups. This paper develops the mathematical scaffolding of the field from first principles and uses it to explain why quantum computers can outperform classical ones. We review complex inner-product spaces, self-adjoint and unitary operators, the spectral theorem, and the tensor-product construction that gives rise to entanglement and the exponential dimension of the state space. We then describe the qubit and its geometry, the group-theoretic classification of quantum gates (the special unitary groups, the Pauli and Clifford groups, and their Lie-algebraic generators), and the universality results that justify finite gate sets together with the Solovay–Kitaev theorem. With this apparatus we analyse the quantum Fourier transform, phase estimation, and the hidden subgroup problem, showing how Shor’s factoring algorithm, Grover’s search, and the quantum linear-systems algorithm arise as instances of a small number of algebraic templates. Finally we treat the stabilizer formalism of quantum error correction—where finite abelian groups over GF(2) play the central role—and the variational, near-term (NISQ) algorithms that dominate current practice. Throughout, the emphasis is on the algebraic invariants that make quantum speed-ups possible.
This paper presents a unified algebraic framework for n-qubit quantum computation rooted in the complex Clifford algebra Cl(2n,C). We leverage the fundamental isomorphism Cl(2n,C)≅M(2n,C) to directly identify the algebra of all n-qubit quantum operators (including states, gates, and observables) with elements of Cl(2n,C). This operator-centric perspective treats quantum states, whether pure or mixed, as density multivectors ρ∈Cl(2n,C) satisfying standard physical constraints (ρ†=ρ, 2n⟨ρ⟩0=1, positivity), and unitary gates U as multivectors obeying U†U=I. Quantum evolution ρ′=UρU† and measurements p(m)=2n⟨Pmρ⟩0 are thus described by intrinsic Clifford algebraic operations. This contrasts with, yet encompasses, specific realizations like spinor representations based on Witt ideals (S=Cl(2n,C)∏jfjfj†), which are shown to be particular constructions within this universal algebra. By analyzing Deutsch's algorithm through these different lenses, we demonstrate the generality and unifying power of the operator-centric multivector approach. This formulation not only provides a comprehensive algebraic language that naturally handles mixed states and general quantum processes but also opens avenues for applying the rich geometric and structural tools of Clifford algebras—such as grade decomposition and invariant theory—to gain deeper insights into quantum information, entanglement, and dynamics.
We introduce Quantum Index Algebra (QIA) as a finite, index-based algebraic framework for representing and manipulating quantum operators on Hilbert spaces of dimension 2m. 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 Bernstein-Vazirani algorithm exactly and achieves the same asymptotic query complexity and circuit depth as the standard quantum algorithm. In particular, the hidden string is recovered by symbolic manipulation of a sparse algebraic representation of the oracle rather than by numerical simulation of quantum amplitudes. Our results demonstrate that the apparent quantum speed-up in this setting is a consequence of operator structure rather than Hilbert-space dimensionality alone. QIA thus provides a precise language for separating genuinely quantum resources from those arising from algebraic and combinatorial structures and offers a new perspective on the classical simulability of structured quantum circuits.