A matrix of entangled atoms could be used to create a “quantum brain” that mimics the way a real brain learns. The latest device includes a plurality of cobalt atoms on a black phosphorous substrate, and its researchers at Radboud University in the Netherlands believe that they may have prospects in the areas of quantum computing. There is a theory in neuroscience that implies that classic dynamics cannot describe consciousness. Instead, smart materials, like our minds, are more readily explained by their physical change, by quantum mechanical phenomena such as junction and overlapping. The foundations of a whole new generation of computers may be the development of materials to replicate this behavior.
Around 100 billion neurons are found in the human brain is linked networks. Whenever we do something, these neurons are electronically transmitted via minute cross-connected systems known as synapses from other neurons in their network. When a certain crucial value has been reached for the number of the signals through the synapses, the neuron “flies” by delivering voltage peaks to other neurons. The strength of the relationship between multiple neurons is known as the synaptic weight which, as we learn something new and do new tasks, will evolve.
“It is clear that we need to find new methods for energy-efficient storing and processing of information,” Khajetoorians said in a statement. “It not only calls for technical development but also basic studies into approaches to game change. Our new concept of constructing a ‘quantum brain,’ based on materials’ quantum properties, could serve as the basis for a possible artificial intelligence solution.” To create autonomously a new mission, many brains influenced or neuromorphic systems of today use machine learning – a method whereby the program uses software and algorithms to practice on a series of examples. One such model of computer education is called a Boltzmann machine. Physically, a Boltzmann computer is an interacting (Ising) system of spins in which neurons are spontaneously fluctuated (or magnetic) spins.
The researchers are now planning to scale up the device to create a wider network of atoms and plunge into experimental “quantum” materials. You may also see that the atomic network is behaving as it is. “We are in a state where basic science, such as memory and understanding, will start to apply to biological principles,” said Khajetoorians. “When we could make a real machine from this stuff, it would allow us to create energy-efficient, less self-learning computers than computers today. Only then can we change his behavior to transform it into tech if we understand how he acts – and that is still a mystery. Surfaces include magnetic atoms as a platform to produce such a machine, which can be used for the creation of a tunable network of spins that show the random movement required. The difficulty is that there is generally a limited range of magnetic correlations between these atoms, which reduces the number of associations with other baryonic matter that can be made.
Since the initial periods of quantum mechanics the position of the conscious observer has been heatedly debated. It is safe to assume, however, that cognition was just a holder of position for the study of neuronal circuits in intact species in a sequence of mathematical formulae. The brain is used as a musical device by most quantum physicists. Research released by Khajetoorians Alexander and Kappen Hilbert has now developed a Boltzmann self-adjusting unit, using the orbital dynamics of black phosphate single-coupled cobalt atoms. The new work builds on previous research in which they found that when put on this two-dimensional microprocessor, a voltage is added to the atom, it can keep binary bit information (0s and 1s) in the electronic state of a single cobalt atom.
This started in 2018 when Chajetoorians and colleagues demonstrated that knowledge can be stored in an individual cobalt atom state. This is frequently done through the modification of the quantum fluctuations of the individual atoms or atomic components. By adding a voltage to a cobalt atom in their early research, the team was able to place it in a superposition state in which the atom simultaneously occupies two states (a 1 and 0. in binary terms).