Features of the development of broadband frequency mixers with suppression of the mirror channel in the range frequencies 9–27 GHz

The article is devoted to features of the development two types of broadband frequency mixers with image channel suppression in the frequency range 927 GHz. The purpose of the study is to determine the optimal ways to solve the problem of modeling complex multifunctional microwave units. The article discusses the development process of such functional units as the local oscillator amplifier, low-noise amplifier and frequency mixer. Comparisons of the calculated characteristics with the results of measurements of the manufactured models of the samples are given. Attention is also paid to the technology of manufacturing field-effect transistors, resistors and capacitors that are part of the functional units of the frequency mixer. The scientific novelty lies in the uniqueness of the product development, which includes several functional units on one crystal. As a result, two types of frequency mixers with suppression of the mirror channel in a package design have been created, which, in terms of their characteristics, can replace similar foreign products from Analog Devices.

Quantum Memristors in Frequency-Entangled Optical Fields

A quantum memristor is a passive resistive circuit element with memory, engineered in a given quantum platform. It can be represented by a quantum system coupled to a dissipative environment, in which a system–bath coupling is mediated through a weak measurement scheme and classical feedback on the system. In quantum photonics, such a device can be designed from a beam splitter with tunable reflectivity, which is modified depending on the results of measurements in one of the outgoing beams. Here, we show that a similar implementation can be achieved with frequency-entangled optical fields and a frequency mixer that, working similarly to a beam splitter, produces state superpositions. We show that the characteristic hysteretic behavior of memristors can be reproduced when analyzing the response of the system with respect to the control, for different experimentally attainable states. Since memory effects in memristors can be exploited for classical and neuromorphic computation, the results presented in this work could be a building block for constructing quantum neural networks in quantum photonics, when scaling up.