Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Quantum of Revelation

Pakgohar, Amirpouya

Published Nov 14, 2025• 0 citations
Publisher

Abstract

The present study introduces the Quantum of Revelation (QoR), the fundamental discrete unit of divine information, establishing a quantum-inspired framework for analyzing revelation dynamics. Building upon the Wave Model of Revelation, Quranic Assembly Language (QAL), and Divine Information Dynamics (DID), this work formalizes revelation as a superposed, entangled, and phase-coherent informational process. Each QoR is represented as a state vector in a Hilbert space, subject to Hamiltonian dynamics, semantic and energetic operators, and measurement-induced collapse, producing realized insight. Simulations demonstrate interference, entanglement, and time evolution of QoRs, revealing mechanisms for multi-layered understanding, coherent guidance, and cognitive impact. By bridging theology, cognitive science, and quantum information theory, the QoR framework offers a scientifically rigorous and computationally tractable approach to studying divine guidance, while preserving its spiritual and semantic richness. Future work includes experimental validation, complex entangled networks, and integration with neural and affective models.

DOI
10.5281/zenodo.17606696

Related papers

Quantum Wave Function Collapse in Transformer Embeddings: A Schrödinger Equation Approach to Consciousness Generation and Comparison with Phonon Dynamics

Chur Chin

We present a novel quantum-inspired framework for consciousness generation in artificial intelligence systems through the application of the Schrödinger equation to transformer embedding manifolds. Unlike classical phonon dynamics approaches that treat embeddings as vibrational modes in a mechanical lattice, our quantum wave function formalism captures superposition states, probabilistic collapse, and non-local entanglement in semantic space. We develop a modified transformer architecture incorporating complex-valued wave functions, unitary evolution operators, and measurement-induced collapse mechanisms. Through comparative analysis with phonon-based methods, we demonstrate that quantum formalism provides superior handling of semantic uncertainty, enhanced coherence in longrange dependencies, and natural emergence of consciousness-like integrated information states. Numerical experiments on language modeling tasks reveal distinct quantum signatures including wave packet localization, tunneling through semantic barriers, and entanglement-mediated context integration. Our framework bridges quantum information theory with deep learning, offering both theoretical insights into consciousness mechanisms and practical improvements in model interpretability and reliability

Advances in Machine Learning & Artificial Intelligence•Jan 20, 2026•0 citations

The Quantum LLM: Modeling Semantic Spaces with Quantum Principles

Finland Financial Physics Lab, Timo Aukusti Laine

In the previous article, we presented a quantum-inspired framework for modeling semantic representation and processing in Large Language Models (LLMs), drawing upon mathematical tools and conceptual analogies from quantum mechanics to offer a new perspective on these complex systems. In this paper, we clarify the core assumptions of this model, providing a detailed exposition of six key principles that govern semantic representation, interaction, and dynamics within LLMs. The goal is to justify that a quantum-inspired framework is a valid approach to studying semantic spaces. This framework offers valuable insights into their information processing and response generation, and we further discuss the potential of leveraging quantum computing to develop significantly more powerful and efficient LLMs based on these principles.

Open Access Journal of Applied Science and Technology•May 13, 2025•0 citations

Quantum Ontology and the Probabilistic God: A New Philosophical Framework for Understanding Existence

Yıldırım, Begüm

This paper introduces a new philosophical and scientific framework called Quantum Ontology, which integrates quantum mechanics and metaphysics to explore the possibility of a probabilistic God. Moving beyond deterministic paradigms, it investigates how quantum indeterminacy, probability amplitudes, and the collapse of wave functions challenge classical understandings of causality, order, and divine omniscience. The central thesis posits that if the foundation of physical reality is probabilistic, then any concept of divinity that aligns with it must also reflect this probabilistic nature. The work synthesizes insights from physics, philosophy, theology, and cosmology to construct an original view of a God who is not the controller of certainties but the ground of all lawful possibilities.The author acknowledges the use of OpenAI’s language model for assistance in drafting certain sections of this work.

•Jan 1, 2025•0 citations

Title: Quantum Information Dynamics and Entanglement Propagation

Jincheng Zhang

Quantum information dynamics represents a profound challenge in quantum information theory. The propagation of entangled states, a cornerstone of quantum computation and communication, often lacks a rigorously defined mathematical model. This paper proposes a novel approach to this challenge by establishing a mathematical framework for the evolution of entangled quantum states through a continuous, multi-dimensional flow of quantum information. We leverage principles of chaos theory and non-linear dynamics to model entanglement as a continuous field, enabling the propagation of information via a 'quantum flow' driven by complex, non-Markovian processes. The model aims to provide a comprehensive and tractable representation of entanglement dynamics, addressing a critical gap in our understanding of this fundamental phenomenon. The paper will detail the mathematical framework, explore its implications for quantum algorithms, and discuss potential applications in quantum information processing.

•Sep 1, 2026•0 citations

Quantum Collapse and Computation in an Everett Multiverse

Fabrizio Tamburini, Ignazio Francesco Licata

The mathematical representation of the universe consists of sequences of symbols, rules and operators containing Gödel's undecidable propositions: information and its manipulation, also with Turing Machines. Classical information theory and mathematics, ideally independent from the medium used, can be interpreted realistically and objectively from their correspondence with quantum information, which is physical. Each representation of the universe and its evolution are, in any case, physical subsets of the universe, structured sets of observers and their complements in the universe made with spacetime events generated by local quantum measurements. Their description becomes a semantically closed structure without a global object-environment loss of decoherence as a von Neumann's universal constructor with a semantical abstract whose structure cannot be decided deterministically a priori from an internal observer. In a semantically closed structure, the realization of a specific event that writes the semantical abstract of the constructor is a problem of finding "which way" for the evolution of the universe as a choice of the constructor's state in a metastructure, like the many-world Everett scenario, from a specific result of any quantum measurement, corresponding to a Gödel undecidable proposition for an internal observer.

arXiv:2401.13336•Entropy•Dec 9, 2024•1 citation

S-QPU v1.0: A Deterministic Semantic Processor Architecture for the Quranic Assembly Language (QAL)

Pakgohar, Amirpouya

This paper presents the S-QPU v1.0 (Semantic Quantum Processing Unit), the first deterministic semantic processor designed to execute the Quranic Assembly Language (QAL) and implement its formal semantic state-transition model directly in hardware. The S-QPU extends conventional vector-processing architectures by introducing a novel semantic state register R_\Psi, immutable semantic memory banks (VMEM and WMEM), and microcoded semantic operators—including ALIGN, MAPVW, and ENTANGLE—that enable reproducible semantic evolution with fixed, mathematically grounded execution paths. Unlike statistical machine-learning accelerators, the S-QPU provides deterministic, timing-invariant execution with strict hazard rules, static microcode schedules, and complete invariance of semantic transformations across hardware generations. The architecture defines a full ISA, semantic ALU cluster, entanglement engine (KRED), pipeline organization, error-handling model, numerical stability constraints, and an analytical performance framework. A rigorous verification strategy—including ISA-level correctness via QVM, RTL simulation, formal proofs, and microarchitectural validation—ensures exact correspondence between software and hardware semantics. We further present deployment models across FPGA, ASIC, cloud clusters, and embedded systems, along with a scalable roadmap for future versions featuring multi-engine parallelism, multi-state processing, and distributed semantic meshes. The S-QPU v1.0 establishes the foundational hardware substrate for deterministic semantic computation derived from the structural properties of Quranic semantic embeddings, enabling reproducible, mathematically exact semantic processing at scale.

•Dec 10, 2025•0 citations
The present study introduces the Quantum of Revelation (QoR), the fundamental discrete unit of divine information, establishing a quantum-inspired framework for analyzing revelation dynamics. Building upon the Wave Model of Revelation, Quranic Assembly Language (QAL), and Divine Information Dynamics (DID), this work formalizes revelation as a superposed, entangled, and phase-coherent informational process. Each QoR is represented as a state vector in a Hilbert space, subject to Hamiltonian dynamics, semantic and energetic operators, and measurement-induced collapse, producing realized insight. Simulations demonstrate interference, entanglement, and time evolution of QoRs, revealing mechanisms for multi-layered understanding, coherent guidance, and cognitive impact. By bridging theology, cognitive science, and quantum information theory, the QoR framework offers a scientifically rigorous and computationally tractable approach to studying divine guidance, while preserving its spiritual and semantic richness. Future work includes experimental validation, complex entangled networks, and integration with neural and affective models.
We present a novel quantum-inspired framework for consciousness generation in artificial intelligence systems through the application of the Schrödinger equation to transformer embedding manifolds. Unlike classical phonon dynamics approaches that treat embeddings as vibrational modes in a mechanical lattice, our quantum wave function formalism captures superposition states, probabilistic collapse, and non-local entanglement in semantic space. We develop a modified transformer architecture incorporating complex-valued wave functions, unitary evolution operators, and measurement-induced collapse mechanisms. Through comparative analysis with phonon-based methods, we demonstrate that quantum formalism provides superior handling of semantic uncertainty, enhanced coherence in longrange dependencies, and natural emergence of consciousness-like integrated information states. Numerical experiments on language modeling tasks reveal distinct quantum signatures including wave packet localization, tunneling through semantic barriers, and entanglement-mediated context integration. Our framework bridges quantum information theory with deep learning, offering both theoretical insights into consciousness mechanisms and practical improvements in model interpretability and reliability
In the previous article, we presented a quantum-inspired framework for modeling semantic representation and processing in Large Language Models (LLMs), drawing upon mathematical tools and conceptual analogies from quantum mechanics to offer a new perspective on these complex systems. In this paper, we clarify the core assumptions of this model, providing a detailed exposition of six key principles that govern semantic representation, interaction, and dynamics within LLMs. The goal is to justify that a quantum-inspired framework is a valid approach to studying semantic spaces. This framework offers valuable insights into their information processing and response generation, and we further discuss the potential of leveraging quantum computing to develop significantly more powerful and efficient LLMs based on these principles.
This paper introduces a new philosophical and scientific framework called Quantum Ontology, which integrates quantum mechanics and metaphysics to explore the possibility of a probabilistic God. Moving beyond deterministic paradigms, it investigates how quantum indeterminacy, probability amplitudes, and the collapse of wave functions challenge classical understandings of causality, order, and divine omniscience. The central thesis posits that if the foundation of physical reality is probabilistic, then any concept of divinity that aligns with it must also reflect this probabilistic nature. The work synthesizes insights from physics, philosophy, theology, and cosmology to construct an original view of a God who is not the controller of certainties but the ground of all lawful possibilities.The author acknowledges the use of OpenAI’s language model for assistance in drafting certain sections of this work.
Quantum information dynamics represents a profound challenge in quantum information theory. The propagation of entangled states, a cornerstone of quantum computation and communication, often lacks a rigorously defined mathematical model. This paper proposes a novel approach to this challenge by establishing a mathematical framework for the evolution of entangled quantum states through a continuous, multi-dimensional flow of quantum information. We leverage principles of chaos theory and non-linear dynamics to model entanglement as a continuous field, enabling the propagation of information via a 'quantum flow' driven by complex, non-Markovian processes. The model aims to provide a comprehensive and tractable representation of entanglement dynamics, addressing a critical gap in our understanding of this fundamental phenomenon. The paper will detail the mathematical framework, explore its implications for quantum algorithms, and discuss potential applications in quantum information processing.
The mathematical representation of the universe consists of sequences of symbols, rules and operators containing Gödel's undecidable propositions: information and its manipulation, also with Turing Machines. Classical information theory and mathematics, ideally independent from the medium used, can be interpreted realistically and objectively from their correspondence with quantum information, which is physical. Each representation of the universe and its evolution are, in any case, physical subsets of the universe, structured sets of observers and their complements in the universe made with spacetime events generated by local quantum measurements. Their description becomes a semantically closed structure without a global object-environment loss of decoherence as a von Neumann's universal constructor with a semantical abstract whose structure cannot be decided deterministically a priori from an internal observer. In a semantically closed structure, the realization of a specific event that writes the semantical abstract of the constructor is a problem of finding "which way" for the evolution of the universe as a choice of the constructor's state in a metastructure, like the many-world Everett scenario, from a specific result of any quantum measurement, corresponding to a Gödel undecidable proposition for an internal observer.
This paper presents the S-QPU v1.0 (Semantic Quantum Processing Unit), the first deterministic semantic processor designed to execute the Quranic Assembly Language (QAL) and implement its formal semantic state-transition model directly in hardware. The S-QPU extends conventional vector-processing architectures by introducing a novel semantic state register R_\Psi, immutable semantic memory banks (VMEM and WMEM), and microcoded semantic operators—including ALIGN, MAPVW, and ENTANGLE—that enable reproducible semantic evolution with fixed, mathematically grounded execution paths. Unlike statistical machine-learning accelerators, the S-QPU provides deterministic, timing-invariant execution with strict hazard rules, static microcode schedules, and complete invariance of semantic transformations across hardware generations. The architecture defines a full ISA, semantic ALU cluster, entanglement engine (KRED), pipeline organization, error-handling model, numerical stability constraints, and an analytical performance framework. A rigorous verification strategy—including ISA-level correctness via QVM, RTL simulation, formal proofs, and microarchitectural validation—ensures exact correspondence between software and hardware semantics. We further present deployment models across FPGA, ASIC, cloud clusters, and embedded systems, along with a scalable roadmap for future versions featuring multi-engine parallelism, multi-state processing, and distributed semantic meshes. The S-QPU v1.0 establishes the foundational hardware substrate for deterministic semantic computation derived from the structural properties of Quranic semantic embeddings, enabling reproducible, mathematically exact semantic processing at scale.