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 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.
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.
Quantum process may conduce to brain function. Particularly, it was proposed that the Posner molecules, Cag(PO4)6, can serve as neural qubits, which can maintain quantum entanglement between phosphorus nuclei for quite a long time. We study the process from entangled Posner molecules to the synchronized activities of brain. A diffusion model of Posner molecules with appropriate boundary conditions and the mean first arriving time of Posner molecules from one area of brain to another are obtained. We establish linkages between the quantum entangled connectivity of brain and the remaining time of entangled Posner molecules before decoherence. Based on these results, we find direct correlations between entangled Posner molecules and the functional connectivity of human brain. Furthermore, we discover that the quantum entangled connectivity depends on age.
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.
• Using clinical MRI, researchers observed the first indications of a macroscopic quantum entangled state formed by proton spins of water molecules in the living human brain. • By introducing an entanglement witness technique—originally proposed for quantum gravity research—into neuroscience, the team discovered that entanglement signals of proton spins are surprisingly synchronized with Heartbeat-Evoked Potentials (HEPs). • The study provides strong experimental indications that human consciousness, cognition, and brain computational processes are based on non-classical quantum mechanics, confirming that the entanglement-based signals fade away when the subject falls asleep. [Quantum Biology Society] Whether human brain functions, especially consciousness and cognition, are merely the result of classical electrical and chemical signal exchanges between brain cells, or the result of computations akin to a quantum computer based on quantum mechanical principles, has been one of the hottest debates in modern science. While the dominant argument has been that quantum effects would instantly break down in a macroscopic, hot, and wet environment like the brain, a recent study directly capturing strong indications of macroscopic quantum entanglement in the living human brain is exciting the global scientific community. The paper "Experimental indications of non-classical brain functions," published entirely free of charge in the Journal of Physics Communications, contains these remarkable achievements. A research team led by Christian Matthias Kerskens and David López Pérez from the Trinity College Institute of Neuroscience (TCIN) in Dublin, Ireland, successfully conducted this groundbreaking experiment. ■ Quantum Gravity Research Techniques Open the Door to Neuroscience To detect quantum effects in the macroscopic environment of the brain responsible for cognitive functions, the researchers made an unconventional attempt by applying an entanglement witness protocol—originally proposed for quantum gravity research—to clinical magnetic resonance imaging (MRI) of a living human body. MRI measures the proton spins of bulk water in the brain; the researchers highly saturated the magnetization to minimize classical single quantum coherence (SQC) signals, selectively capturing only the target zero quantum coherence (ZQC) signals. ■ Quantum Entanglement in the Brain Synchronized with the Heartbeat The observation results were astonishing. The network of fluid spins (proton spins of bulk water) inside the brain interacted with each other, showing indications of a specific entangled state, and these entanglement-based signal bursts were surprisingly synchronized with the heartbeat-evoked potentials (HEPs) induced by the subject's heartbeat. These pulsating signals could not be explained by any existing classical MRI contrast techniques. ■ Entanglement Signals Disappear as Consciousness Fades Even more interestingly, these quantum entanglement-related signals appeared strongly only when the subjects were in a state of conscious awareness. When the subjects' consciousness faded, such as when falling asleep, the signals invariably and gradually disappeared. This is a strong experimental indication that macroscopic water proton spins related to brain physiology are mediating entanglement through unknown brain functions, further suggesting that the foundation of human brain computational processes and consciousness could be strictly non-classical. This research leaves open the possibility that the human brain operates effectively like a highly complex quantum computer, and it is expected to bring a groundbreaking paradigm shift in neuroscience, psychology, medicine, and the development of next-generation artificial intelligence in the future.