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two-spin-qubits

twoclasstsne

Pre-Trained Imagenet based two class T-SNE plot using Openfreameworks

uav-digital-twin

ROS 2 packages that implement dynamic structural health monitoring for a UAV via structural digital twin, formulated using a probabilistic graphical model

ubistandard-for-quantum-technologies

This repo is a part of our submission for QWorld/QTurkey Quantum Technologies Hackathon Oct/2020

uclq-quantum-energy-hackathon

umd-ws21-ece-560-qubit-resonance-control

In this project, we will attempt to define a dynamic control law for determining the spin resonance of a single qubit.

understand-transposed-convolutions-and-build-conv2dtranspose-layer-from-stratch

In generative adversarial network (GAN), convolutions and transposed convolutions are both heavily involved. While convolutions play an important role in the discriminator, transposed convolutions are the primary building blocks for the generator. The tensorflow API - Keras - has made building GAN a very convenient process. However, sometimes it ca

unet-nested-multiple-classification

This repository contains code for a multiple classification image segmentation model based on UNet and UNet++

unicorn

Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc, PowerPC, RiscV, S390x, TriCore, X86)

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

unimatch

Unifying Flow, Stereo and Depth Estimation

unit_cell_designing

Use Deep Reinforcement Learning to Design Mechanical Metamaterial Unit Cells

unitary-modular

Code for the GHZ state preparation simulation and circuit placement outlined in Bapat et al 2018

using-vcham

How to use VCHam - a program to calculate the vibronic coupling Hamiltonian.

vae-inverse-design

vanillanet

variational-quantum-eigensolvers

Hybrid Quantum Classical algorithm to variationally determine the ground state energy of a Hamiltonian.

varqus

This is the code implemented for the QHack 2022. We implement the results of https://doi.org/10.1103/PhysRevX.7.021050

vartianal-quantum-eigensolver

VQE is used to find the ground state energy of an atom or molecule.

vf-2_digital_twin

Approach to create a digital twin of Haas VF-2 vertical CNC mill

video-ai-challenge---womanium

Womanium Quantum Hackathon 2022

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

voxformer

[CVPR 2023] A Cutting-edge Baseline for 3D Semantic Occupancy Prediction

vqe

I Used the Variational Quantum Eigensolver (VQE) to find the ground state of a 4by4 matrix hamiltonian which we will use two qubits for it. The VQE algorithm is run in a noisy and noiseless simulator. The code implementation is written with the Qiskit language.

vqe-error-mitigation

VQE with Error Mitigation for Qiskit

vqe-qosf-task4

This repo contains the code for finding minimum energy eigenstate of a 2 Qubit hamiltonian using VQE algorithm.

vqo-nonlocality-noisy-quantum-networks

Supplemental code for "Variational Quantum Optimization of Nonlocality in Noisy Quantum Networks"

wannier-berri

Advanced tool for Wannier interpolation and integration of k-space integrals

wannier-function-fitting-parameter-with-machine-learning

wannier_add_onsite_soc

Add spin-orbital coupling effect to tight-binding model from Wannier90 package.