Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

Researchers have created one of the most detailed virtual mouse cortex simulations ever achieved by combining massive biological datasets with the extraordinary power of Japan’s Fugaku supercomputer.

This project models a basic inverting amplifier using Python code generated by an AI large language model. AI could help ...

A physics-based Python simulation exploring collision behavior in an AstroBlaster system, focusing on momentum transfer, impact modeling, and numerical computation techniques. #PythonPhysics ...

Abstract: Quantum Key Distribution (QKD) provides a novel alternative to Classical Key Distribution in protecting secure communications, but poses challenges in terms of research and widespread ...

Learn how to create a Python simulation of a tipping stick! In this video, we guide you step by step through coding a physics-based simulation that models tipping motion, friction, and torque. Perfect ...

Abstract: We introduce the QARN (Quantum Accelerated and Reconfigurable, Noisy) simulator, an efficient and scalable state vector based quantum circuit simulator. Implemented in Python, QARN delivers ...

ScaleQsim is a distributed full-state quantum circuit simulator based on Google's Qsim. It is designed to support extreme-scale HPC systems such as Perlmutter@NERSC while utilizing existing efficient ...

Reconfigurable lumped elements of resonant structures significantly impact resonant behavior. Full-wave simulations are expensive and time-consuming. Electromagnetic co-simulation provides an ...

NEW HAVEN, Conn., Sept. 2, 2025 — Quantum Circuits, Inc., announced work with NVIDIA technology integrating NVIDIA CUDA-Q programming capabilities into its Aqumen software suite. The integration ...