Development and research of software and methods for constructing quantum algorithms for solving NP class problems

В современных науке и технике постоянно возникает необходимость в решении таких стратегически важных задач, как предсказание погоды и расчет климатических изменений, создание онкологических препаратов, обработка сигналов из Вселенной для поиска внеземных цивилизаций, обработка символьной информации, криптоанализ, опережающий расчет траекторий движущихся воздушных и космических объектов и другие задачи. Практическая реализация перечисленных задач на современных, даже суперкомпьютерных, системах требует недопустимо большого промежутка времени или вообще невозможна. Научная новизна данного направления выражается в разработке методики построения модульной моделирующей системы квантовых вычислений с открытой архитектурой, а также моделирующей системы выполнения квантовых алгоритмов. Целью работы является рассмотрение приемов моделирования квантовых вычислений и реализации алгоритмов решения задач NP класса. In modern science and technology, there is a constant need to solve such strategically important tasks as predicting the weather and calculating climatic changes, creating cancer drugs, processing signals from the Universe to search for extraterrestrial civilizations, processing symbolic information, cryptanalysis, and anticipatory calculation of the trajectories of moving air and space objects, etc. The practical implementation of the listed tasks on modern, even supercomputer systems requires an unacceptably long period of time or is impossible at all. The scientific novelty of this direction is expressed in the development of a methodology for constructing a modular modeling system of quantum computing with an open architecture, as well as a modeling system for executing quantum algorithms. The aim of the work is to consider techniques for modeling quantum computations and implementing algorithms for solving NP class problems.

A Modular Mathematical Model of Exercise-Induced Changes in Metabolism, Signaling, and Gene Expression in Human Skeletal Muscle

Skeletal muscle is the principal contributor to exercise-induced changes in human metabolism. Strikingly, although it has been demonstrated that a lot of metabolites accumulating in blood and human skeletal muscle during an exercise activate different signaling pathways and induce the expression of many genes in working muscle fibres, the systematic understanding of signaling–metabolic pathway interrelations with downstream genetic regulation in the skeletal muscle is still elusive. Herein, a physiologically based computational model of skeletal muscle comprising energy metabolism, Ca2+, and AMPK (AMP-dependent protein kinase) signaling pathways and the expression regulation of genes with early and delayed responses was developed based on a modular modeling approach and included 171 differential equations and more than 640 parameters. The integrated modular model validated on diverse including original experimental data and different exercise modes provides a comprehensive in silico platform in order to decipher and track cause–effect relationships between metabolic, signaling, and gene expression levels in skeletal muscle.

Policy Impact on Regional Biogas Using a Modular Modeling Tool

Biogas development is expected to contribute to the National Recovery and Resilience plan to overcome the COVID-19 shock. Estimation of the agricultural biogas potential in economic terms can contribute to refining policies inciting effective sector development. In this paper, we attempt to do so by modeling a biogas chain from dedicated crops and livestock waste. This was achieved by coupling farming models to the biogas industry in a partial equilibrium framework. This allows for a comprehensive investigation of alternative measures in technology, size, spatial distribution and land use change. The integrated model was implemented in Lubelskie for the previous policy (green certificates) and the current policy (auction market). In both cases, the bottom-up profit driven optimization resulted in approximately 40 MWel, which shows a robust economic potential more than four times the biogas sector’s actual capacity in the region, also providing the detailed structure of the sector. When focusing on the industry structure, both scenarios give similar results regarding 1–2 MWel plant size close to the observed situation. The model also suggests a large number of new facilities <250 kWel, twice as important under scenario 2, indicating that other conditions beyond economy profitability should be fulfilled for further sector development.

Research on Matching Characteristics of Ship-Engine-Propeller of COGAG

The combined gas turbine and gas turbine power propulsion device (COGAG power propulsion device) is an advanced combined power system, which uses multiple gas turbines as the main engine to drive propellers to propel the ship. COGAG power propulsion device has high power density, excellent stability and maneuverability, it receives more and more attention in the field of ship power at home and abroad. This article takes the COGAG power propulsion device as the research object, uses simulation methods to study its steady-state operating characteristics, and conducts a ship-engine-propeller optimization matching analysis based on economy and maneuverability. The research work carried out in this article is as follows. Firstly, according to the structural relationship between the various components and the system thermal cycle mode of the COGAG power propulsion device, establish the controller, main engine, gear box, clutch, shafting, propeller, ship and other components and simulation models of the system with the modular modeling idea. Secondly, divide the gears according to ship speed. For the four working modes of single-gas turbine with load, dual-gas turbine with load, three-gas turbine with load, and four-gas turbine with load, analysis the ship-engine-propeller optimization matching of the COGAG power propulsion device based on economy and maneuverability, and calculate the best shaft speed and propeller pitch ratio in each gear, so as to obtain the steady-state operation characteristics of the COGAG power propulsion device based on the ship-engine-propeller matching, which provides a basis for determining the target parameters of the dynamic process.

A model of exercise-induced changes in metabolism, signaling, and gene expression in skeletal muscle

Skeletal muscle is the principal contributor to exercise-induced changes in human metabolism. Strikingly, although it has been demonstrated that a lot of metabolites accumulating in blood and human skeletal muscle during an exercise activate different signaling pathways and induce expression of many genes in working muscle fibres, the system understanding of signaling-metabolic pathways interrelations with downstream genetic regulation in the skeletal muscle is still elusive. Herein, a physiologically based computational model of skeletal muscle comprising energy metabolism, Ca2+ and AMPK signalling pathways, and expression regulation of genes with early and delayed responses has been developed based on a modular modeling approach. The integrated modular model validated on diverse including original experimental data and different exercise modes provides a comprehensive in silico platform in order to decipher and track cause-effect relationships between metabolic, signaling and gene expression levels in the skeletal muscle.