Classical probabilistic reconfigurable systems can be described using the quantum circuits mathematical framework, the analogy reconfigurable - quantum is illustrated with an electric circuit and a neural network, the concept of classically entangled states appears when a DPDT switch is used in electric networks.

A probabilistic controller, for robot navigation with behaviors, is designed using the basic mathematical framework of quantum computing. The controller changes behavior probabilities following sensor readings, behaviors depend on arena and platform properties, not just obstacles, also controller gains can be programmed by direct external signals.

A nonlinear parameterized voltage - current mathematical model, with quantum probabilities to modulate deterministic functions, is discussed. Different possibilities for the model and two electric circuits applications are illustrated with simulations.

In this paper quantum switches, qswitches, are introduced to generate a superposition of resistor networks. Measuring the qswitches results in one resistor network with specific values for the electrical variables; then using the probabilities for each network with the currents and voltages, expectation values are calculated. Finally a control signal, or feedback, is used to change the qswitches probability amplitudes.

A quantum circuit controller, parametrized quantum circuit and operator, is used in a closed loop system to control a nonlinear plant. The controller has eight parameters, the first four can be fixed beforehand (set point and control surface smoothness), the remaining four are tuned manually using a set of rules in natural language.

There is an increasing interest to find applications of current quantum computers, small number of qubits and no error correction, known as NISQ computers. In this paper a parametrized quantum model is embedded in a chain of integrators to create an oscillator, the parameters are estimated using Taylor linearization and stability analysis from classic control systems theory.

Research in quantum computing hardware has shown that quantum bits can be implemented with superconducting circuits, these qubits could be used in other applications such as quantum devices for electronic systems. In this paper a nonlinear parameterised two qubits quantum device is presented, the current - voltage characteristic of this element is similar to an adjustable memristor when its parameters are changed.