Robust Quantum Controllers: Quantum Information – Thermodynamic Hidden Force Control in Intelligent Robotics based on Quantum Soft Computing

05/18/2023
by   Sergey V. Ulyanov, et al.
0

A generalized strategy for the design of intelligent robust control systems based on quantum / soft computing technologies is described. The reliability of hybrid intelligent controllers increase by providing the ability to self-organize of imperfect knowledge bases. The main attention is paid to increasing the level of robustness of intelligent control systems in unpredictable control situations with the demonstration by illustrative examples. A SW HW platform and support tools for a supercomputer accelerator for modeling quantum algorithms on a classical computer are described.

READ FULL TEXT

page 10

page 13

page 14

page 15

page 17

page 18

page 21

page 22

research
10/10/2018

Quantum Neural Network and Soft Quantum Computing

A new paradigm of quantum computing, namely, soft quantum computing, is ...
research
05/06/2018

A review of neuro-fuzzy systems based on intelligent control

The system's ability to adapt and self-organize are two key factors when...
research
12/17/2021

A prototypical model of universal quantum computer system

A modern computer system, based on the von Neumann architecture, is a co...
research
11/02/2018

Truly Concurrent Process Algebra to Unifying Quantum and Classical Computing for Open Systems

Based on our previous work on truly concurrent process algebra, we use i...
research
07/20/2016

Supervised quantum gate "teaching" for quantum hardware design

We show how to train a quantum network of pairwise interacting qubits su...
research
02/13/2017

Differential Evolution for Quantum Robust Control: Algorithm, Applications and Experiments

Robust control design for quantum systems has been recognized as a key t...
research
02/27/2019

From explanation to synthesis: Compositional program induction for learning from demonstration

Hybrid systems are a compact and natural mechanism with which to address...

Please sign up or login with your details

Forgot password? Click here to reset