Javascript must be enabled to continue!
Unbound Low-Energy Nucleons as Semiclassical Quantum Networks
View through CrossRef
We propose that quarks and gluon flux tubes emerge from networks of standing vacuum waves. Each unbound nucleon, in its ground state, may be electromagnetically modeled as massless quantized charge on two pairs of orbiting arcs. Each charge arc is associated with a vacuum fundamental harmonic rotating both poloidally and toroidally. These vacuum fundamental harmonics are coupled to nucleon mass-energy. A mechanism is proposed whereby unbound ground state nucleons continually regenerate their mass and charge. The charge arcs orbit on the two surfaces of a spindle torus with polar charge-exclusion zones. These ground-state models of unbound nucleons may be interpreted as two pairs of virtual Möbius bands. The optimal triangular Möbius band may explain proton uniqueness. These unbound proton and neutron models are shown to be precisely connected via a parameter dependent on neutron mass and the sum of the up and down quark masses during low energy weak interactions. Due to this precise connection, and the relatively high experimental precision of proton magnetic moment, neutron magnetic moment is calculated about two orders of magnitude more precisely than the most accurate experiments to date. This quantum network-based approach to modeling unbound low-energy nucleons calculates several other measurable parameters. This includes utilizing precise lepton vacuum interaction data to develop independent phenomenological proton and neutron vacuum interaction models accurate to 7 digits.
Canadian Center of Science and Education
Title: Unbound Low-Energy Nucleons as Semiclassical Quantum Networks
Description:
We propose that quarks and gluon flux tubes emerge from networks of standing vacuum waves.
Each unbound nucleon, in its ground state, may be electromagnetically modeled as massless quantized charge on two pairs of orbiting arcs.
Each charge arc is associated with a vacuum fundamental harmonic rotating both poloidally and toroidally.
These vacuum fundamental harmonics are coupled to nucleon mass-energy.
A mechanism is proposed whereby unbound ground state nucleons continually regenerate their mass and charge.
The charge arcs orbit on the two surfaces of a spindle torus with polar charge-exclusion zones.
These ground-state models of unbound nucleons may be interpreted as two pairs of virtual Möbius bands.
The optimal triangular Möbius band may explain proton uniqueness.
These unbound proton and neutron models are shown to be precisely connected via a parameter dependent on neutron mass and the sum of the up and down quark masses during low energy weak interactions.
Due to this precise connection, and the relatively high experimental precision of proton magnetic moment, neutron magnetic moment is calculated about two orders of magnitude more precisely than the most accurate experiments to date.
This quantum network-based approach to modeling unbound low-energy nucleons calculates several other measurable parameters.
This includes utilizing precise lepton vacuum interaction data to develop independent phenomenological proton and neutron vacuum interaction models accurate to 7 digits.
Related Results
Advanced frameworks for fraud detection leveraging quantum machine learning and data science in fintech ecosystems
Advanced frameworks for fraud detection leveraging quantum machine learning and data science in fintech ecosystems
The rapid expansion of the fintech sector has brought with it an increasing demand for robust and sophisticated fraud detection systems capable of managing large volumes of financi...
Integrating quantum neural networks with machine learning algorithms for optimizing healthcare diagnostics and treatment outcomes
Integrating quantum neural networks with machine learning algorithms for optimizing healthcare diagnostics and treatment outcomes
The rapid advancements in artificial intelligence (AI) and quantum computing have catalyzed an unprecedented shift in the methodologies utilized for healthcare diagnostics and trea...
Unbound Low-Energy Nucleons as Semiclassical Quantum Networks
Unbound Low-Energy Nucleons as Semiclassical Quantum Networks
We propose that quarks and gluon flux tubes emerge from networks of standing vacuum waves. Each unbound nucleon, in its ground state, may be electromagnetically modeled as massless...
Unbound Low-Energy Nucleons as Semiclassical Quantum Networks
Unbound Low-Energy Nucleons as Semiclassical Quantum Networks
We propose that quarks and gluon flux tubes emerge from networks of standing vacuum waves. Each unbound nucleon, in its ground state, may be electromagnetically modeled as massless...
Advancements in Quantum Computing and Information Science
Advancements in Quantum Computing and Information Science
Abstract: The chapter "Advancements in Quantum Computing and Information Science" explores the fundamental principles, historical development, and modern applications of quantum co...
Quantum Computing and Quantum Information Science
Quantum Computing and Quantum Information Science
Abstract:
Quantum Computing and Quantum Information Science offers a comprehensive, interdisciplinary exploration of the mathematical principles, computational models, and engineer...
Revolutionizing multimodal healthcare diagnosis, treatment pathways, and prognostic analytics through quantum neural networks
Revolutionizing multimodal healthcare diagnosis, treatment pathways, and prognostic analytics through quantum neural networks
The advent of quantum computing has introduced significant potential to revolutionize healthcare through quantum neural networks (QNNs), offering unprecedented capabilities in proc...
Unbound Low-Energy Nucleons As Semiclassical Quantum Networks
Unbound Low-Energy Nucleons As Semiclassical Quantum Networks
We propose that quarks and gluon flux tubes emerge from networks of standing vacuum waves. Each unbound nucleon, in its ground state, may be electromagnetically modeled as massless...

