Variationl Quantum Eigensolver(VQE)
About The Variational Quantum Eigensolver (VQE) is an algorithm that operates on quantum computers and is used for optimization problems…
kevin-tofu Regularization Term in XGBoost Loss Function
XGBoost XGBoost is based on gradient boosting trees, it excels in computational efficiency, flexibility, and features. It is a model…
Universal Gate In Quantum Circuit
In Digital Circuit In typical digital circuits, there exist what are known as universal gates. These include the NAND and…
FOURIER PINNS: FROM STRONG BOUNDARY CONDITIONS TO ADAPTIVE FOURIER BASES
I forgot where I found this. What weird of this paper is that it is written by anonymous writers. https://openreview.net/pdf?id=40Mw2GJnlZ…
Maxwells Equations
Maxwell’s Equations Maxwell’s Equation is described by 4 queations as following(not only Integral form but also differential form), this article…
CLIP-DINOiser: Teaching CLIP a few DINO tricks
Links https://arxiv.org/abs/2312.12359 https://github.com/wysoczanska/clip_dinoiser
nDCG – Normalized Discounted Cumulative Gain
What is this? nDCG (normalized Discounted Cumulative Gain) is one of the metrics used to evaluate the performance of search…
Modulus
Overview Nvidia is developing Neural Networks training tool for Physics. Here shows what functions it has https://docs.nvidia.com/deeplearning/modulus/modulus-v2209/user_guide/basics/modulus_overview.html Neural Netork Models…
Neural Operator for Training Partial Differential Equations
What this field is going to do The previously introduced Physics Informed Neural Network (PINN) directly estimates the solution (field)…
Evaluating Embedding APIs for Information Retrieval
Evaluating Embedding APIs for Information Retrieval https://arxiv.org/abs/2305.06300 Beginning with models on HuggingFace, numerous embedding models have been released. However, in…