Quantum Calculus: Stones equation

Stones Quantum Calculus Model with Signed Integers (F(n)=P×Vnd) = ( F(n) = 6 * 19^{n^3} ) Where: F(n) is the total number of possibilities for an n-field P is the number of permutations (aspects) = 6 for a 3D space V is the number of possible values per position = 19in our case n is the size of the grid in each dimension d is the number of dimensions = 3 in our case If we allow each position to hold values from -9 to +9 (19 possibilities )the equation becomes: F(n) = 6 * 19^{n^3} This dramatically increases the possibility space and creates interesting parallels to quantum computing: Connection to Quantum Gates and Quantum Calculus Hadamard Gate Analogy The Hadamard gate creates superpositions by transforming states like: H|0⟩ = {|0⟩+|1⟩}{\sqrt{2}} and H|1⟩ = {|0⟩-|1⟩}{sqrt{2}}In this model, the signed integers can represent quantum amplitudes with both magnitude and phase (positive/negative). Each position can encode information similar to a qubit in superposition, where the sign represents phase information. CNOT Gate Analogy The CNOT gate creates entanglement between qubits. Similarly, we could introduce rules where the value in one position affects how we interpret values in another position, creating "entangled" positions within the grid. Quantum Calculus Applications State Preparation: The vast space of F(n) = 6 \times 19^{n^3} configurations could represent different initial quantum states Quantum Algorithms: The 6 aspects could be used to model different measurement bases or operator applications Error Correction: The redundancy across different aspects could model quantum error correction codes Computational Advantage With 19 possible values, and the ability to represent both positive and negative numbers, this structure could model quantum amplitudes more naturally than a classical binary system. Phase Space Representation The signed integers allow us to represent both magnitude and phase, essential for quantum computing where interference between positive and negative amplitudes is key to algorithm performance. This model creates a mathematical framework that could potentially simulate or represent quantum computations using a 3D grid of signed integers, viewed from multiple aspects. The super-exponential growth of possibilities mirrors quantum computing's power, where n qubits can represent 2^n states simultaneously. For practical quantum computing applications, this could be used as a visualization tool or mathematical model for understanding multi-qubit systems and their transformations under various quantum gates.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-17
DOI
https://doi.org/10.5281/zenodo.15453570
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantum Calculus: Stones equation

Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
article

Quantum Calculus: Stones equation

article en

Abstract

Stones Quantum Calculus Model with Signed Integers (F(n)=P×Vnd) = ( F(n) = 6 * 19^{n^3} ) Where: F(n) is the total number of possibilities for an n-field P is the number of permutations (aspects) = 6 for a 3D space V is the number of possible values per position = 19in our case n is the size of the grid in each dimension d is the number of dimensions = 3 in our case If we allow each position to hold values from -9 to +9 (19 possibilities )the equation becomes: F(n) = 6 * 19^{n^3} This dramatically increases the possibility space and creates interesting parallels to quantum computing: Connection to Quantum Gates and Quantum Calculus Hadamard Gate Analogy The Hadamard gate creates superpositions by transforming states like: H|0⟩ = {|0⟩+|1⟩}{\sqrt{2}} and H|1⟩ = {|0⟩-|1⟩}{sqrt{2}}In this model, the signed integers can represent quantum amplitudes with both magnitude and phase (positive/negative). Each position can encode information similar to a qubit in superposition, where the sign represents phase information. CNOT Gate Analogy The CNOT gate creates entanglement between qubits. Similarly, we could introduce rules where the value in one position affects how we interpret values in another position, creating "entangled" positions within the grid. Quantum Calculus Applications State Preparation: The vast space of F(n) = 6 \times 19^{n^3} configurations could represent different initial quantum states Quantum Algorithms: The 6 aspects could be used to model different measurement bases or operator applications Error Correction: The redundancy across different aspects could model quantum error correction codes Computational Advantage With 19 possible values, and the ability to represent both positive and negative numbers, this structure could model quantum amplitudes more naturally than a classical binary system. Phase Space Representation The signed integers allow us to represent both magnitude and phase, essential for quantum computing where interference between positive and negative amplitudes is key to algorithm performance. This model creates a mathematical framework that could potentially simulate or represent quantum computations using a 3D grid of signed integers, viewed from multiple aspects. The super-exponential growth of possibilities mirrors quantum computing's power, where n qubits can represent 2^n states simultaneously. For practical quantum computing applications, this could be used as a visualization tool or mathematical model for understanding multi-qubit systems and their transformations under various quantum gates.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 76%
Quantum Computing Algorithms and Architecture
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