Quantum error correction codes enable efficient scaling to hundreds of thousands of qubits

A new class of highly efficient and scalable quantum low-density parity-check error correction codes, capable of performance ...
Interesting Engineering

New quantum error correction code could handle millions of qubits efficiently

Japanese scientists develop scalable quantum LDPC error correction codes approaching the theoretical hashing bound.
Live Science

Physicists find a loophole in Heisenberg’s uncertainty principle without breaking it

By using something called a quantum grid, scientists have found a clever way to simultaneously measure momentum and position ...
Scientific Research Publishing

Atomic Clock-Based Method for Satellite Attitude and Altitude Determination ()

The current methods for attitude determination are Star Trackers, sun sensors, magnetometers, and gyroscopes. We would like ...
IEEE

Study on Temperature Measurement Errors and Correction Method of Inner Surface of Cavity-Like Objects With Directional Reflection Characteristics

Abstract: The thermal radiation reflection properties of real material surfaces tend to be directional, which leads to inaccuracies in existing methods for measuring the diffuse inner surface ...
IEEE

Tracking Error Prediction and Compensation of Industrial Robot Considering Dynamical Factors via Physics-Informed Machine Learning

Abstract: Tracking error prediction and compensation is essential to ensure the accuracy of robotic motion trajectories in various tasks. Due to the structural ...
GitHub

Import errors and missing dependencies for custom nodes (torchaudio, relative imports, missing .py files)

When running ComfyUI (version 0.3.56, frontend 1.25.11) with custom nodes, several import errors and missing dependencies prevent successful module loading. Key issues include missing torchaudio ...
GitHub

Physics-Informed Neural Network (PINN) for Error-Corrected Finite Difference Energy Balance in 1D Hydraulic Fracture Propagation

This repository contains the implementation of a Physics-Informed Neural Network (PINN)-Enhanced Finite Difference Method (FDM) for modeling energy balance in hydraulic fracture propagation. The ...