Understanding the mechanisms of interaction between plasma and microparticles is of a critical importance in various fields, including astrophysics, microelectronics, and plasma medicine. A common ...

Venom Nav Simulation is a standalone ROS 2 simulation workspace for small mobile robot navigation with a simulated Livox MID-360 and IMU. This project is intended to serve two goals: Provide a fast ...

To enable the accurate and repeatable execution of a computational simulation task, it is important to identify both the algorithm used and the initial setup. These minimum information requirements ...

A pure Python implementation of Shor's quantum factorization algorithm using classical simulation of the period-finding step. The project supports both explicit matrix simulation for very small inputs ...

An image simulation algorithm developed by researchers from Taiwan and the US boosts image intensity computation speed by 5,000 times Lithography, an essential process in the semiconductor industry, ...

Traditional simulation techniques such as wave optics methods and Monte Carlo (MC) particle transport cannot model both interference and inelastic scattering phenomena within one framework. Based on ...

Today, numerous EDA tools and flows for accurate and efficient RFIC design are commercially available. However, only three algorithms for circuit simulation dominate the industry: transient, PSS ...

Abstract: Quantum circuit simulation is crucial for algorithm development and cryptanalysis given the limited qubit counts and high noise in today’s quantum hardware. We present a Qiskit MPI framework ...

The renowned physicist Dr. Richard Feynman once said: “What I cannot create, I do not understand. Know how to solve every problem that has been solved.” An increasingly influential subfield of ...