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

(Short Paper02) A Study on the Theoretical and Physical Gap Between Electroencephalogram (EEG) Measurement and Quantum Observation, and Its Integrated Interpretation in the Bio-QPU Theory Paradigm

kotoan.gg

Published Sep 3, 2026• 0 citations
Publisher

Abstract

In attempts to explore the physical basis of consciousness and cognitive processes, there are discourses that connect the “electroencephalogram (EEG),” a macroscopic indicator of brain activity, with microscopic “quantum mechanisms (quantum observation and wave packet collapse)”. However, within the classical framework, there exists a massive discontinuity (gap) in scale and decoherence time between the two. In this paper, we compare the physical principles of EEG measurement with the concept of observation in quantum mechanics, and organize that gap. Furthermore, based on the paradigm that a biological system is not a “computer” computing specific algorithms but an “in vivo analog quantum synchronizer (phase synchronizer: Bio-QPU),” we introduce the mitochondrial electrostatic shield, Quantum Pulse Communication (QPC) via microtubules, and chemical triggers by the autonomous analog tuner (Glial OS). Through this, we model that EEG is not the quantum state itself, but rather that “decoherence,” which is considered an error in artificial computers, acts as an advanced recording and extraction function for specific dimensions (selective decoherence), projecting as a “macroscopic heat dissipation (shadow)” onto the classical system, and we propose this as a testable hypothesis that overcomes the computer metaphor.

DOI
10.5281/zenodo.22280039

Related papers

(Short Paper33) Overcoming the "Computer Metaphor" in the In Vivo Analog Quantum Synchronizer (Bio-QPU) Paradigm: Formulation of Selective Decoherence Functions Accompanied by Phase Noise Rejection and Wave Protection Based on Com parison with Artificial Quantum Computers

kotoan.gg

As the fact that quantum mechanical phase processing operates in biological systems becomes clear, the misunderstanding (semantic trap) of equating the living brain with an “artificial quantum computer” is spreading. In this paper, we formulate that the physical entity of the “in vivo analog quantum synchronizer (Bio-QPU),” which allows life to maintain quantum coherence in a room-temperature environment, is a “resonator of the natural world” that is fundamentally different from artificial computational devices in its purpose of existence, architecture, and approach to noise. Although comparing the two on the same level is inherently a category error, this paper intentionally contrasts them to clarify that the essence of life is not the computation of specific algorithms, but “phase synchronization with the environmental waves of the universe (LUCA’s Theorem).” Furthermore, we argue that “decoherence,” considered a fatal error in artificial machines, is controlled in vivo by chemical triggers of the autonomous analog tuner (Glial OS), and is optimized as an advanced recording and extraction function called “selective decoherence” that granulates only necessary dimensions while maintaining rich background waves. We present a verifiable paradigm that overcomes the computer metaphor in life sciences.

•Oct 11, 2026•0 citations

(Short Paper05) Quantum Informatic Formulation of Mitochon drial Maternal Inheritance in the In Vivo Analog Quantum Synchronizer (BioQPU) Paradigm

kotoan.gg

The significance of “maternal inheritance,” in which paternally derived mitochondria are immediately eliminated by selective autophagy (mitophagy) or similar mechanisms in all fertilized eggs, and only maternally derived mitochondria are selectively inherited, cannot be fully explained by conventional classical biochemistry (such as the avoidance of mutant DNA accumulation) alone. In this paper, we overcome the metaphor that regards life as a “computer” computing specific algorithms, and redefine mitochondria as a “high electrostatic field shield plant and master clock oscillator” based on the paradigm of the “in vivo analog quantum synchronizer (phase synchronizer: Bio-QPU).” The completeness of maternal inheritance at fertilization is quantum-informatically formulated as an absolute rejection mechanism for “clock Phase-Locking” and Phase Jitter within the system, enabling the fertilized egg to satisfy “LUCA’s Theorem (phase synchronization with environmental waves)” under the higher-order quantum control environment of the mother’s body. Furthermore, we propose this as the optimal solution for initial calibration based on “selective decoherence,” which granulates only specific dimensions, turning decoherence—considered an error in artificial machines—into a function, thereby providing a verifiable hypothesis independent of the computer metaphor.

•Sep 3, 2026•0 citations

Quantum Approaches to Brain and Mind: A Comprehensive Review of Theories, Evidence, and Future Directions

Taruna Ikrar, Wachyudi Muchsin, Alfi Sophian

The question of whether quantum mechanical phenomena play a functional role in brain activity and the emergence of consciousness remains one of the most controversial yet intellectually stimulating debates at the intersection of physics, neuroscience, and philosophy of mind. This review systematically examines the principal theoretical frameworks proposing quantum-level mechanisms in neural computation, including the Orchestrated Objective Reduction (Orch OR) hypothesis by Penrose and Hameroff, the quantum brain hypothesis of Stapp, quantum coherence models in microtubules, and quantum field theories of consciousness. We critically evaluate the current state of empirical evidence—including recent quantum biology findings, the challenge of decoherence in warm, biological systems, and experimental observations of quantum effects in biological systems—alongside computational models that bridge quantum formalism and neural network dynamics. Furthermore, we discuss the implications of quantum cognition models for understanding perception, decision-making, and memory. Despite significant scientific skepticism, emerging evidence from quantum biology and advanced neuroimaging technologies provides tentative support for quantum processes in neural substrates. We conclude by identifying critical gaps in current knowledge and outlining future research directions that may resolve the debate, including proposals for experimental paradigms using quantum sensing technologies applied to neural tissue. This review aims to serve as a foundational reference for researchers across disciplines approaching the quantum mind hypothesis with scientific rigor.

•May 12, 2026•0 citations

(Short Paper20) Physical Transmission Line of QPC (Quantum Pulse Communication) in the In Vivo Analog Quantum Syn chronizer (BioQPU) Paradigm: Breakdown of Selective Deco herence in Paraplegia and the Phase Noise Rejection Model Ensuring "LUCA's Theorem"

kotoan.gg

In the in vivo Quantum Processing Unit (Bio-QPU) paradigm, Quantum Pulse Communication (QPC) has been proposed as the foundation for extreme motor control, invalidating the millisecond delays inherent in classical transmission. However, the nature of “zero-delay direct synchronization” harbors the danger of inviting a physical misconception (the interpretation of non-physical action at a distance) that it is wireless, non-local communication ignoring space. In this paper, we re-evaluate the classical physical disconnection phenomenon of paraplegia (spinal cord injury) within the framework of QPU theory, proving that QPC does not leap through space but is completely dependent on a highly physical quantum waveguide (infrastructure) known as the “microtubule network” within neurons. Through this formulation, ultra-high-speed synchronization phenomena, typified by hitting a 160 km/h fastball, are consistently explained as spin-pulse communication phenomena that repurpose existing neural cables.

•Sep 17, 2026•0 citations

(Short Paper22) Chemical Intervention Mechanism of the Glial OS in the In Vivo Analog Quantum Synchronizer (Bio-QPU) Paradigm: Optimization Model of Emotion and Selective Deco herence Based on Phase Noise Rejection and Chemical Triggers

kotoan.gg

While the ultra-high-speed information processing mechanisms by nerve cells (neurons) are being elucidated within the in vivo quantum computing (QPU) theory, the redefinition of the role of glial cells, which account for more than half of brain cells, is required. This paper formulates neuronal groups as “pure QPU hardware” and the glial cell network as a “chemical operating system (OS) that determines the QPU calculation mode”. We discuss how human emotions and intuitive physical responses are “assignments of absolute conditions” where the thresholds of QPU quantum pulse communication (QPC) and the energy landscapes of quantum annealing are physically rewritten by brain substances (neurotransmitters) secreted by glial cells. Using examples such as acrophobia, anticipatory salivation, and the differences between discomfort and euphoria under thermal environments (saunas), we present a cooperative computation model of hardware and a chemical OS.

•Sep 20, 2026•0 citations

Bio-Quantum Field Modeling for the Physical Origin of Subjective Qualia

Zhen Su

The physical origin of subjective qualia remains the core hard problem, unexplained by classical neurodynamics or condensed-matter physics. Classical theories only correlate brain activity with experience, leaving an unbridgeable explanatory gap. Existing quantum consciousness models suffer from decoherence vulnerability and lack testable links to neurophysiology. Here, we develop a self-consistent bio-quantum field framework for qualia. We postulate a collective quantum fluctuation field from confined Ca$^{2+}$ ions in voltage-gated channels, governed by coupled Hamiltonian and open-system Lindblad decoherence. Under weak-coupling perturbation, we derive an explicit mapping between EEG band power and qualia eigenstates. Biophysical verification confirms femtosecond quantum correlations are thermally viable at physiological temperature. Neural activity regulates quantum dynamics to select qualia eigenstates. This mathematically and biophysically consistent model bridges the explanatory gap, offering a testable quantum framework for the physical basis of consciousness.

•May 15, 2026•0 citations
In attempts to explore the physical basis of consciousness and cognitive processes, there are discourses that connect the “electroencephalogram (EEG),” a macroscopic indicator of brain activity, with microscopic “quantum mechanisms (quantum observation and wave packet collapse)”. However, within the classical framework, there exists a massive discontinuity (gap) in scale and decoherence time between the two. In this paper, we compare the physical principles of EEG measurement with the concept of observation in quantum mechanics, and organize that gap. Furthermore, based on the paradigm that a biological system is not a “computer” computing specific algorithms but an “in vivo analog quantum synchronizer (phase synchronizer: Bio-QPU),” we introduce the mitochondrial electrostatic shield, Quantum Pulse Communication (QPC) via microtubules, and chemical triggers by the autonomous analog tuner (Glial OS). Through this, we model that EEG is not the quantum state itself, but rather that “decoherence,” which is considered an error in artificial computers, acts as an advanced recording and extraction function for specific dimensions (selective decoherence), projecting as a “macroscopic heat dissipation (shadow)” onto the classical system, and we propose this as a testable hypothesis that overcomes the computer metaphor.
As the fact that quantum mechanical phase processing operates in biological systems becomes clear, the misunderstanding (semantic trap) of equating the living brain with an “artificial quantum computer” is spreading. In this paper, we formulate that the physical entity of the “in vivo analog quantum synchronizer (Bio-QPU),” which allows life to maintain quantum coherence in a room-temperature environment, is a “resonator of the natural world” that is fundamentally different from artificial computational devices in its purpose of existence, architecture, and approach to noise. Although comparing the two on the same level is inherently a category error, this paper intentionally contrasts them to clarify that the essence of life is not the computation of specific algorithms, but “phase synchronization with the environmental waves of the universe (LUCA’s Theorem).” Furthermore, we argue that “decoherence,” considered a fatal error in artificial machines, is controlled in vivo by chemical triggers of the autonomous analog tuner (Glial OS), and is optimized as an advanced recording and extraction function called “selective decoherence” that granulates only necessary dimensions while maintaining rich background waves. We present a verifiable paradigm that overcomes the computer metaphor in life sciences.
The significance of “maternal inheritance,” in which paternally derived mitochondria are immediately eliminated by selective autophagy (mitophagy) or similar mechanisms in all fertilized eggs, and only maternally derived mitochondria are selectively inherited, cannot be fully explained by conventional classical biochemistry (such as the avoidance of mutant DNA accumulation) alone. In this paper, we overcome the metaphor that regards life as a “computer” computing specific algorithms, and redefine mitochondria as a “high electrostatic field shield plant and master clock oscillator” based on the paradigm of the “in vivo analog quantum synchronizer (phase synchronizer: Bio-QPU).” The completeness of maternal inheritance at fertilization is quantum-informatically formulated as an absolute rejection mechanism for “clock Phase-Locking” and Phase Jitter within the system, enabling the fertilized egg to satisfy “LUCA’s Theorem (phase synchronization with environmental waves)” under the higher-order quantum control environment of the mother’s body. Furthermore, we propose this as the optimal solution for initial calibration based on “selective decoherence,” which granulates only specific dimensions, turning decoherence—considered an error in artificial machines—into a function, thereby providing a verifiable hypothesis independent of the computer metaphor.
The question of whether quantum mechanical phenomena play a functional role in brain activity and the emergence of consciousness remains one of the most controversial yet intellectually stimulating debates at the intersection of physics, neuroscience, and philosophy of mind. This review systematically examines the principal theoretical frameworks proposing quantum-level mechanisms in neural computation, including the Orchestrated Objective Reduction (Orch OR) hypothesis by Penrose and Hameroff, the quantum brain hypothesis of Stapp, quantum coherence models in microtubules, and quantum field theories of consciousness. We critically evaluate the current state of empirical evidence—including recent quantum biology findings, the challenge of decoherence in warm, biological systems, and experimental observations of quantum effects in biological systems—alongside computational models that bridge quantum formalism and neural network dynamics. Furthermore, we discuss the implications of quantum cognition models for understanding perception, decision-making, and memory. Despite significant scientific skepticism, emerging evidence from quantum biology and advanced neuroimaging technologies provides tentative support for quantum processes in neural substrates. We conclude by identifying critical gaps in current knowledge and outlining future research directions that may resolve the debate, including proposals for experimental paradigms using quantum sensing technologies applied to neural tissue. This review aims to serve as a foundational reference for researchers across disciplines approaching the quantum mind hypothesis with scientific rigor.
In the in vivo Quantum Processing Unit (Bio-QPU) paradigm, Quantum Pulse Communication (QPC) has been proposed as the foundation for extreme motor control, invalidating the millisecond delays inherent in classical transmission. However, the nature of “zero-delay direct synchronization” harbors the danger of inviting a physical misconception (the interpretation of non-physical action at a distance) that it is wireless, non-local communication ignoring space. In this paper, we re-evaluate the classical physical disconnection phenomenon of paraplegia (spinal cord injury) within the framework of QPU theory, proving that QPC does not leap through space but is completely dependent on a highly physical quantum waveguide (infrastructure) known as the “microtubule network” within neurons. Through this formulation, ultra-high-speed synchronization phenomena, typified by hitting a 160 km/h fastball, are consistently explained as spin-pulse communication phenomena that repurpose existing neural cables.
While the ultra-high-speed information processing mechanisms by nerve cells (neurons) are being elucidated within the in vivo quantum computing (QPU) theory, the redefinition of the role of glial cells, which account for more than half of brain cells, is required. This paper formulates neuronal groups as “pure QPU hardware” and the glial cell network as a “chemical operating system (OS) that determines the QPU calculation mode”. We discuss how human emotions and intuitive physical responses are “assignments of absolute conditions” where the thresholds of QPU quantum pulse communication (QPC) and the energy landscapes of quantum annealing are physically rewritten by brain substances (neurotransmitters) secreted by glial cells. Using examples such as acrophobia, anticipatory salivation, and the differences between discomfort and euphoria under thermal environments (saunas), we present a cooperative computation model of hardware and a chemical OS.
The physical origin of subjective qualia remains the core hard problem, unexplained by classical neurodynamics or condensed-matter physics. Classical theories only correlate brain activity with experience, leaving an unbridgeable explanatory gap. Existing quantum consciousness models suffer from decoherence vulnerability and lack testable links to neurophysiology. Here, we develop a self-consistent bio-quantum field framework for qualia. We postulate a collective quantum fluctuation field from confined Ca2+^{2+}2+ ions in voltage-gated channels, governed by coupled Hamiltonian and open-system Lindblad decoherence. Under weak-coupling perturbation, we derive an explicit mapping between EEG band power and qualia eigenstates. Biophysical verification confirms femtosecond quantum correlations are thermally viable at physiological temperature. Neural activity regulates quantum dynamics to select qualia eigenstates. This mathematically and biophysically consistent model bridges the explanatory gap, offering a testable quantum framework for the physical basis of consciousness.