Principles of organizing a hardware of information collection system perceptron for a quantum hashing problem
V D Munister, Alexander L. Zolkin, А И Джангаров · AIP conference proceedings · 2024
The article raises the issue of organizing the signal processing process in existing classes of digital systems and analogue-to-digital converters.The authors indicate a significant problem of the synthesis of controlled action (and its adequate perception by the control system through the "sensory level of perception", in particular, the aspectology of redundancy in computing power and the problem of choice and delegation in stream processing of signals).A solution for an information system for collecting and managing data based on peripheral interrogation of sensors is generalized and formalized.For the first time authors are developing a new class of hardware devices that combine the principles of organization of neural pathogens (perceptrons) that work within the activation function and trend line (neural memory), and quantum logic in a Boolean basis.The functional testing of the developed device is presented, the simplicity and reliability of the hardware implementation is indicated.While formulating research methods, the goal is to develop a reliable integrative system for information support of the hardware circuit system.A structural block of controlled addiction has been implemented, taking into account quantum caching that is taken as a mean of ensuring the unity and consistency of data transmission from the measuring environment in case of increasing its structural component.Options for the practical implementation of the information and analytical structure of the hardware perceptron in the industrial Internet of Things are considered in the conclusion.