This paper is based on the book (O. Kupervasser, Application of New Cybernetics in Physics, Elsevier, 2017). Human brain has very powerful intellect. Indeed, it seems that its intellectual possibilities are much more than possibilities of usual computers using genetic algorithm and random search (A.S. Potapov, Artificial Intellect and Universal Intelligence, Polytechnics, Saint Petersburg, 2012 (in Russian).). Our brain has also such especial property as consciousness. Some researchers suppose that these properties are a result of special structures of brain. Really, may be our brain is a quantum computer (R. Penrose, The Emperor’s New Mind, Oxford University Press, New York, 1989, R. Penrose, Shadows of the Mind, Oxford University Press, New York, 1994)? We know that a quantum computer is highly parallel device with principally insuperable protection from external observation. A quantum computer can resolve some tasks that are inaccessible for usual computers. However, it can be demonstrated that continuous unstable classical computer has the same properties as a quantum computer (O. Kupervasser, Application of New Cybernetics in Physics, Elsevier, 2017). Moreover, it seems that the main properties of a brain (powerful intellect and consciousness) can be explained by invisible correlation with surround world. Similarly, clock’s gear wheel very accurately operates in spite of absence of any intellect only because the gear wheel is a part of the highly correlated clock. We usually suppose that our world is some random set of low correlated events. However, the world, may be, is some highly correlated device (L. Susskind, J. Lindesay, An Introduction to Black Holes, Information and the String Theory Revolution: The Holographic Universe, World Scientific Publishing Company, 2004). And human beings are its “gear wheels”. It seems that Big Bang theory suppose such point of view. This pure philosophical reasonings can lead to some practical conclusions. We suppose to use instead of usual random search for computers some random number generators which are in complex correlations with surround world. It can give to computers some prototype of the such especial “human intuition”, described above.
This paper is based on the book (O. Kupervasser, Application of New Cybernetics in Physics, Elsevier, 2017). Human brain has very powerful intellect. Indeed, it seems that its intellectual possibilities are much more than possibilities of usual computers using genetic algorithm and random search (A.S. Potapov, Artificial Intellect and Universal Intelligence, Polytechnics, Saint Petersburg, 2012 (in Russian).). Our brain has also such especial property as consciousness. Some researchers suppose that these properties are a result of special structures of brain. Really, may be our brain is a quantum computer (R. Penrose, The Emperor’s New Mind, Oxford University Press, New York, 1989, R. Penrose, Shadows of the Mind, Oxford University Press, New York, 1994)? We know that a quantum computer is highly parallel device with principally insuperable protection from external observation. A quantum computer can resolve some tasks that are inaccessible for usual computers. However, it can be demonstrated that continuous unstable classical computer has the same properties as a quantum computer (O. Kupervasser, Application of New Cybernetics in Physics, Elsevier, 2017). Moreover, it seems that the main properties of a brain (powerful intellect and consciousness) can be explained by invisible correlation with surround world. Similarly, clock’s gear wheel very accurately operates in spite of absence of any intellect only because the gear wheel is a part of the highly correlated clock. We usually suppose that our world is some random set of low correlated events. However, the world, may be, is some highly correlated device (L. Susskind, J. Lindesay, An Introduction to Black Holes, Information and the String Theory Revolution: The Holographic Universe, World Scientific Publishing Company, 2004). And human beings are its “gear wheels”. It seems that Big Bang theory suppose such point of view. This pure philosophical reasonings can lead to some practical conclusions. We suppose to use instead of usual random search for computers some random number generators which are in complex correlations with surround world. It can give to computers some prototype of the such especial “human intuition”, described above.
On the one hand, we recognize the real world using usually intuitive perceptions through physical experiments and intuitive perception processing based on binary philosophy.However, physical quantum phenomenon indicates that each photon transfers in the way not agreement with the soul of binary philosophy.That is to say that we cannot use intuitive perception based on binary philosophy to understand the quantum world of subatomic transmitted with the light speed.On the other hand, the simultaneous appearance of two intuitive perceptions: 'being' and 'non-being' at the same time in the human brain, according to Georg Wilhelm Friedrich Hegel (1770-1831), created a counterintuitive perception expressed by rather meta language, 'being-nonbeing' that goes beyond the boundaries of the description of a common language.It is seen as the quantum perception and the quantum cognitive phenomenon originated from activity of the human neural network, used to qualify/quantify the changes of environmental conditions and to increase the potential of the human brain.In addition, Hegel noted that the reality was saturated in the "Ones", we do usually split up and rearrange it.These Hegel's ideas are considered as the quantum philosophy (the 'One' philosophy) and related logic called quantum logic -the human philosophy and logic rather than binary philosophy and two valued logic used in computer.It creates the main foundation of real-time intelligence in the so, called dynamic quantum dimension of the human brain.Today, scientists of artificial intelligence are aware that they consider the real world through the human brain, the virtual world of the physical world, i.e.They explore the real world in a virtual world only.As, the human brain is really a physical world, we explore the real world through another physical world.Information in the human brain is like the subatomic in the physical quantum world, communicates with the speed of light creating a world called the quantum cognitive world.It indicates that we should use the characteristic homology of quantum perception processing and quantum bit, qubit, processing to not only better exploit the power and efficiency of the human brain but also to build a new architecture of the so called the quantum cognitive computer in the future.In this paper, we want to simulate an ability of the human brain by a multimodal approach to comprehensively and more accurately understand how the human brain can quantify the rapid change of environmental conditions in real time.The equality of the quantum perception processing and quantum bit processing enables us to create a new approach of embedded software design and a new platform of IoT technology, new model of machine learning and new field of cognitive robotics, etc., which results in a new model of artificial intelligence named Quantum Intelligence.
There is a long-lasting controversy concerning our mind and consciousness. Mind, Brain, Quantum AI, and the Multiverse proposes a connection between the mind, the brain, and the multiverse. The author introduces the main philosophical ideas concerning mind and freedom, and explains the basic principles of computer science, artificial intelligence of brain research, quantum physics, and quantum artificial intelligence. He indicates how we can provide an answer to the problem of the mind and consciousness by describing the nature of the physical world. His proposed explanation includes the Everett Many-Worlds theory. This book tries to avoid any non-essential metaphysical speculations. The text is an essential compilation of knowledge in philosophy, computer science, biology, and quantum physics. It is written for readers without any requirements in mathematics, physics, or computer science.
We approach the question "What is Consciousness?" in a new way, not as Descartes' "systematic doubt", but as how organisms find their way in their world. Finding one's way involves finding possible uses of features of the world that might be beneficial or avoiding those that might be harmful. "Possible uses of X to accomplish Y" are "Affordances". The number of uses of X is indefinite (or unknown), the different uses are unordered, are not listable, and are not deducible from one another. All biological adaptations are either affordances seized by heritable variation and selection or, far faster, by the organism acting in its world finding uses of X to accomplish Y. Based on this, we reach rather astonishing conclusions: (1) Artificial general intelligence based on universal Turing machines (UTMs) is not possible, since UTMs cannot "find" novel affordances. (2) Brain-mind is not purely classical physics for no classical physics system can be an analogue computer whose dynamical behaviour can be isomorphic to "possible uses". (3) Brain mind must be partly quantum-supported by increasing evidence at 6.0 sigma to 7.3 sigma. (4) Based on Heisenberg's interpretation of the quantum state as "potentia" converted to "actuals" by measurement, where this interpretation is not a substance dualism, a natural hypothesis is that mind actualizes potentia. This is supported at 5.2 sigma. Then mind's actualizations of entangled brain-mind-world states are experienced as qualia and allow "seeing" or "perceiving" of uses of X to accomplish Y. We can and do jury-rig. Computers cannot. (5) Beyond familiar quantum computers, we discuss the potentialities of trans-Turing-systems.
In recent decades it has become common throughout the social sciences to think of the human mind simply as a very complex computer. Drawing on an older materialist metaphor of the mind as a machine, the “computational” model of the mind took off after the mid-century invention of the computer and subsequent cognitive revolution in psychology, and has since permeated the social sciences in the form of rational choice and other prominent social theories. The contributions of this model have been huge; but it has always been assumed that the computations going on inside our heads are classical. Quantum brain theory challenges this assumption by proposing that the mind is actually a quantum computer. Classical computers are based on binary digits or “bits” with well defined values (0 or 1), which are transformed in serial operations by a program into an output. Quantum computers in contrast are based on “qubits” that can be in superpositions of 0 and 1 at the same time and also interact non-locally, enabling every qubit to be operated on simultaneously. The idea of a quantum computer was first proposed in the 1980s and is still far from being realized technologically, but it has fired the imagination of scientists by raising the prospect of unimaginable increases in computational power, and other neat tricks besides. If quantum brain theory is true, then our model of the mind would be similarly radically altered, irrespective of the issue of consciousness. Quantum brain theory hypothesizes that quantum processes at the elementary level are amplified and kept in superposition at the level of the organism, and then, through downward causation constrain what is going on deep within the brain. On this view, information from the environment is continuously transformed from the macro- to the micro-level, and then channeled back upward into an “internal quantum state,”
• 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.
How can quantum theory be used to model human performance on complex information processing tasks? Quantum computing and quantum information theory is relatively new, but it is already a highly developed field (Nielsen and Chuang, 2000). The concept of a quantum computer was introduced by Feynman in 1982 (Feynman, 1982). Soon afterwards, a universal quantum computer was formulated by David Deutsch in 1989 using quantum gates, which he demonstrated could perform computations not possible with classic Turing machines, including generating genuine random numbers and performing parallel calculations within a single register. Subsequently, new quantum algorithms were discovered by Peter Schor in 1984 and Lov Grover in 1997 that could solve important computational problems, such as factoring and searching, faster than any known Turing machine. However, all of these accomplishments were designed for actual quantum computers, and only very small versions have been realized so far. Moreover, if we are not working under the assumption that the brain is a quantum computer, then what has all of this to do with information processing by humans? The answer is that quantum information processing theory provides new and powerful principles for modelling human performance. Currently, there are three general approaches to modelling information processing with humans. One is based on production rule systems such as used in Act-R (Anderson, 1993), EPIC (Meyer & Kieres, 1997), and Soar (Laird et al ., 1987); a second is neural network (Grossberg, 1982) and connectionist network (Rumelhart & McClelland, 1986) models; and a third is Bayesian models (Griffiths et al ., 2008).