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

Information Transfer Based on Brains Entanglement

Seyed Kazem Mousavi

Published Mar 19, 2025• 3 citations
Publisher

Abstract

A human brain can communicate with another brain using quantum entanglement. Similar particles can become entangled without direct interaction. Sensory communication between two individuals over long distances is not yet fully understood. In this research, the transfer of information based on entanglement between the brains of two people was investigated. The test was conducted on two individuals located far apart. These individuals were exposed to similar music and, based on their neural plasticity, both were placed in the same state. By activating the brain's reward system, coherent thinking was induced in the brains of these individuals. Then, through entanglement, compressed information was transmitted and received between them. Decoding compressed information is the key to transmitting information based on entanglement between identical particles.

DOI
10.20944/preprints202308.1731.v2

Related papers

Information Transfer by Quantum Entanglement in the Brain

Seyed Kazem Mousavi

A human brain can communicate with another one’s brain was using quantum entanglement. Identical particles can entangle without interaction. Sensory communication between two individuals from far distances is still not known. In this research, the information transfer based on entanglement between the brains of two persons was investigated. The test was performed on two individuals far from each other. These individuals were put under the same music on the basis of brain neuroplasticity property. By activating the brain reward system, aligned thinking was time-scheduled in these individuals’ brains. On the basis of entanglement, compressed information has been sent and received between these two individuals.

Qeios•Mar 25, 2024•2 citations

Information Transfer Based on Brains Entanglement

Seyed Kazem Mousavi

A human brain can communicate with another one’s brain using quantum entanglement. Similar particles can entangle without interaction. Sensory communication between two individuals from far distances is still not known. Former studies primarily have been performed regarding brain neurons' quantum behavior. The test was performed on two individuals far from each other. These individuals were put under the same music on the basis of brain neuroplasticity property. By activating the brain reward system, aligned thinking was time scheduled in these individuals’ brains. On the basis of entanglement, compressed information was sent and received between these two individuals.

•Aug 24, 2023•4 citations

Information Transfer based on Brains Entanglement

Seyed Kazem Mousavi

The research on quantum entanglement for communication between human brains is an intriguing concept that has been investigated. The ability of identical particles to become entangled without interaction has significant implications for quantum information processing and quantum communication. The study involved testing the transfer of information based on entanglement between the brains of two individuals far from each other. The individuals were exposed to the same music to leverage the brain's neuroplasticity property, and their brain reward systems were activated to facilitate aligned thinking at specific times. The results indicated the successful transmission of compressed information between the two individuals, demonstrating the potential for sensory communication through entanglement. Further research in this area could lead to significant advancements in understanding and harnessing the capabilities of quantum entanglement on identical particles and the potential applications of entanglement in various quantum technologies and inter-brain communication.

Qeios•Mar 26, 2024•3 citations

Quantum Entanglement-Based Simulation of Information Encoding and Decoding in Biological Systems

Jincheng Zhang

This research investigates the potential of utilizing quantum entanglement to simulate information encoding and decoding mechanisms within biological neural networks. The core premise is that quantum phenomena, specifically entanglement, may play a more significant role in biological neuronal processing than previously acknowledged. This work proposes a novel approach employing quantum bits (qubits) to represent individual neurons, with connections between neurons established through quantum entanglement. The simulation aims to mimic the processes of synaptic transmission and signal propagation observed in biological neural networks. Mathematical formulations describe the evolution of the entangled qubit states under influence of simulated neuronal inputs, and the measurement processes are modeled to represent the observed output signals. This research offers a theoretical framework for exploring the interplay between quantum mechanics and biological neural systems, potentially leading to a deeper understanding of the fundamental principles governing brain function. The study utilizes a discrete-time simulation approach, allowing for a detailed analysis of the dynamics of the entangled neural network. Key performance indicators, such as the fidelity of information transfer and the robustness of the simulated network, are explored. The results suggest that quantum entanglement can provide a viable model for simulating complex neural processes, warranting further investigation into the potential for quantum computing to revolutionize our understanding of the brain.

•Aug 28, 2026•0 citations

Quantum Entanglement as a Fundamental Data Carrier

Jincheng Zhang

Quantum entanglement, a phenomenon where two or more particles become linked and share the same fate, has long captivated physicists and philosophers alike. This paper explores the possibility that entanglement, rather than simply correlating particles, might be the fundamental mechanism for transmitting and processing information across vast distances, potentially exceeding the limitations of classical physics. This exploration centers on the development of a 'Quantum Resonance Matrix' – a system designed to encode and transmit information instantaneously through subtle, correlated quantum states. We propose that this approach could unlock new possibilities in data storage, communication, and potentially even revolutionize our understanding of reality itself. This work challenges the traditional interpretation of entanglement, suggesting it represents a more fundamental aspect of reality and a novel form of information transport.

•Sep 6, 2026•0 citations

Quantum Entanglement-Based Data Compression & Transmission

Jincheng Zhang

This paper investigates the potential of quantum entanglement for data compression and transmission, aiming to surpass the limitations of classical methods. We propose a novel entanglement protocol that utilizes instantaneous correlations to represent data bits, incorporating quantum error correction to enhance reliability. The core mechanism focuses on encoding information via entangled particle states, suggesting a pathway for transmitting data across significant distances with enhanced efficiency and security. This work explores the theoretical foundations, algorithm design, and preliminary experimental results demonstrating the feasibility of this approach. The potential implications for data security and efficient information transfer are significant, representing a potential paradigm shift in data storage and communication technologies.

•Sep 6, 2026•0 citations
A human brain can communicate with another brain using quantum entanglement. Similar particles can become entangled without direct interaction. Sensory communication between two individuals over long distances is not yet fully understood. In this research, the transfer of information based on entanglement between the brains of two people was investigated. The test was conducted on two individuals located far apart. These individuals were exposed to similar music and, based on their neural plasticity, both were placed in the same state. By activating the brain's reward system, coherent thinking was induced in the brains of these individuals. Then, through entanglement, compressed information was transmitted and received between them. Decoding compressed information is the key to transmitting information based on entanglement between identical particles.
A human brain can communicate with another one’s brain was using quantum entanglement. Identical particles can entangle without interaction. Sensory communication between two individuals from far distances is still not known. In this research, the information transfer based on entanglement between the brains of two persons was investigated. The test was performed on two individuals far from each other. These individuals were put under the same music on the basis of brain neuroplasticity property. By activating the brain reward system, aligned thinking was time-scheduled in these individuals’ brains. On the basis of entanglement, compressed information has been sent and received between these two individuals.
A human brain can communicate with another one’s brain using quantum entanglement. Similar particles can entangle without interaction. Sensory communication between two individuals from far distances is still not known. Former studies primarily have been performed regarding brain neurons' quantum behavior. The test was performed on two individuals far from each other. These individuals were put under the same music on the basis of brain neuroplasticity property. By activating the brain reward system, aligned thinking was time scheduled in these individuals’ brains. On the basis of entanglement, compressed information was sent and received between these two individuals.
The research on quantum entanglement for communication between human brains is an intriguing concept that has been investigated. The ability of identical particles to become entangled without interaction has significant implications for quantum information processing and quantum communication. The study involved testing the transfer of information based on entanglement between the brains of two individuals far from each other. The individuals were exposed to the same music to leverage the brain's neuroplasticity property, and their brain reward systems were activated to facilitate aligned thinking at specific times. The results indicated the successful transmission of compressed information between the two individuals, demonstrating the potential for sensory communication through entanglement. Further research in this area could lead to significant advancements in understanding and harnessing the capabilities of quantum entanglement on identical particles and the potential applications of entanglement in various quantum technologies and inter-brain communication.
This research investigates the potential of utilizing quantum entanglement to simulate information encoding and decoding mechanisms within biological neural networks. The core premise is that quantum phenomena, specifically entanglement, may play a more significant role in biological neuronal processing than previously acknowledged. This work proposes a novel approach employing quantum bits (qubits) to represent individual neurons, with connections between neurons established through quantum entanglement. The simulation aims to mimic the processes of synaptic transmission and signal propagation observed in biological neural networks. Mathematical formulations describe the evolution of the entangled qubit states under influence of simulated neuronal inputs, and the measurement processes are modeled to represent the observed output signals. This research offers a theoretical framework for exploring the interplay between quantum mechanics and biological neural systems, potentially leading to a deeper understanding of the fundamental principles governing brain function. The study utilizes a discrete-time simulation approach, allowing for a detailed analysis of the dynamics of the entangled neural network. Key performance indicators, such as the fidelity of information transfer and the robustness of the simulated network, are explored. The results suggest that quantum entanglement can provide a viable model for simulating complex neural processes, warranting further investigation into the potential for quantum computing to revolutionize our understanding of the brain.
Quantum entanglement, a phenomenon where two or more particles become linked and share the same fate, has long captivated physicists and philosophers alike. This paper explores the possibility that entanglement, rather than simply correlating particles, might be the fundamental mechanism for transmitting and processing information across vast distances, potentially exceeding the limitations of classical physics. This exploration centers on the development of a 'Quantum Resonance Matrix' – a system designed to encode and transmit information instantaneously through subtle, correlated quantum states. We propose that this approach could unlock new possibilities in data storage, communication, and potentially even revolutionize our understanding of reality itself. This work challenges the traditional interpretation of entanglement, suggesting it represents a more fundamental aspect of reality and a novel form of information transport.
This paper investigates the potential of quantum entanglement for data compression and transmission, aiming to surpass the limitations of classical methods. We propose a novel entanglement protocol that utilizes instantaneous correlations to represent data bits, incorporating quantum error correction to enhance reliability. The core mechanism focuses on encoding information via entangled particle states, suggesting a pathway for transmitting data across significant distances with enhanced efficiency and security. This work explores the theoretical foundations, algorithm design, and preliminary experimental results demonstrating the feasibility of this approach. The potential implications for data security and efficient information transfer are significant, representing a potential paradigm shift in data storage and communication technologies.