Learn about quantum computing and algorithm on quantum computing

Overview

quantum_computing


this repo contains everything i learn about quantum computing and algorithm on quantum computing

what is aquantum computing

quantum computing is an area of study focused on the development of computer based technologies centered around the principles of quantum theory. quantum computing uses a combination of bits to perform specific computational taks. all at much higher efficiency than their classical counterparts. development of quantum computers mark a leap forward in computing capability, with massive performance gains for specifig use cases. for example quantum computing excels at like simulations.

working with quantum

to code any quantum circuit, step

  1. build design a quantum circuit that represent the problem considering
  2. execute run a circuits on a backedn, either a system or a simulator
  3. analyze calculate summary statistic and visualize the result of circuit jobs

simple code to build circuit

circuit = QuantumCircuit(2,2)

# add a H gate on qubit 0
circuit.h(0)

# add a CX(CNOT) gate control qubit 0 and target qubit 1
circuit.cx(0, 1)

# map the quantum measurement to the classical bits
circuit.measure([0, 1], [0,1])

explanation

first, initialize two qubits in the zero state and two classical bits in the zero state in the quantum circuit called circuit:

circuit = QuantumCircuit(2, 2)

next, add gates that manipulate th qubits in circuit to frm bell state:

codingcogs

in this state, there is a 50% chance of finding both qubits to have the value 0 and a 50% chance of finding both qubits to have the value 1.

gates:

  • QuantumCircuit.h(0)

    A handmard gate (h) on qubit 0, which puts it into a superposition state

  • QuantumCircuit.cx(0, 1)

    A controlled-NOT operantion (CX) on control qubit 0 and target qubit 1, putting the qubits in an entangled state.

  • QuantumCircuit.measure([0, 1], [0, 1])

    The first argument indexes the qubits; the second argument indexes the classical bits, then the n qubit's measueremtn result ill be stroed in the n classical bit.

circuit.h(0)
circutir.cx(0, 1)
circuit.measure([0, 1], [0, 1])
Owner
arfy slowy
a simple person for focusing on fixing some code ( especially python ) and make sure the application works very well
arfy slowy
The implementation of "Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement"

SF-Net for fullband SE This is the repo of the manuscript "Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Ban

Guochen Yu 36 Dec 02, 2022
code for our BMVC 2021 paper "HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification"

HCV_IIRC code for our BMVC 2021 paper HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification by Kai Wang, Xialei Li

kai wang 13 Oct 03, 2022
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding

Vision Longformer This project provides the source code for the vision longformer paper. Multi-Scale Vision Longformer: A New Vision Transformer for H

Microsoft 209 Dec 30, 2022
A framework for joint super-resolution and image synthesis, without requiring real training data

SynthSR This repository contains code to train a Convolutional Neural Network (CNN) for Super-resolution (SR), or joint SR and data synthesis. The met

83 Jan 01, 2023
Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection

An official implementation of paper Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection

11 Nov 23, 2022
Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer)

Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer) Introduction By applying the

Son Gyo Jung 1 Jul 09, 2022
Research code for Arxiv paper "Camera Motion Agnostic 3D Human Pose Estimation"

GMR(Camera Motion Agnostic 3D Human Pose Estimation) This repo provides the source code of our arXiv paper: Seong Hyun Kim, Sunwon Jeong, Sungbum Park

Seong Hyun Kim 1 Feb 07, 2022
一套完整的微博舆情分析流程代码,包括微博爬虫、LDA主题分析和情感分析。

已经将项目的关键文件上传,包含微博爬虫、LDA主题分析和情感分析三个部分。 1.微博爬虫 实现微博评论爬取和微博用户信息爬取,一天大概十万条。 2.LDA主题分析 实现文档主题抽取,包括数据清洗及分词、主题数的确定(主题一致性和困惑度)和最优主题模型的选择(暴力搜索)。 3.情感分析 实现评论文本的

182 Jan 02, 2023
Code implementation for the paper 'Conditional Gaussian PAC-Bayes'.

CondGauss This repository contains PyTorch code for the paper Stochastic Gaussian PAC-Bayes. A novel PAC-Bayesian training method is implemented. Ther

0 Nov 01, 2021
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

Self-labelling via simultaneous clustering and representation learning 🆗 🆗 🎉 NEW models (20th August 2020): Added standard SeLa pretrained torchvis

Yuki M. Asano 469 Jan 02, 2023
Code for the paper Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration

IMAGINE: Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration This repo contains the code base of the paper Language as a Cog

Flowers Team 26 Dec 22, 2022
An end-to-end image translation model with weight-map for color constancy

CCUnet An end-to-end image translation model with weight-map for color constancy 1. Download the dataset (take Colorchecker_recommended dataset as an

Jianhui Qiu 1 Dec 21, 2021
Simulated garment dataset for virtual try-on

Simulated garment dataset for virtual try-on This repository contains the dataset used in the following papers: Self-Supervised Collision Handling via

33 Dec 20, 2022
Exploiting a Zoo of Checkpoints for Unseen Tasks

Exploiting a Zoo of Checkpoints for Unseen Tasks This repo includes code to reproduce all results in the above Neurips paper, authored by Jiaji Huang,

Baidu Research 8 Sep 06, 2022
A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 1.3x on an iPhone XS Max without sacrificing accuracy.

GFNet-Pytorch (NeurIPS 2020) This repo contains the official code and pre-trained models for the glance and focus network (GFNet). Glance and Focus: a

Rainforest Wang 169 Oct 28, 2022
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language (NeurIPS 2021)

VRDP (NeurIPS 2021) Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language Mingyu Ding, Zhenfang Chen, Tao Du, Pin

Mingyu Ding 36 Sep 20, 2022
Training Cifar-10 Classifier Using VGG16

opevcvdl-hw3 This project uses pytorch and Qt to achieve the requirements. Version Python 3.6 opencv-contrib-python 3.4.2.17 Matplotlib 3.1.1 pyqt5 5.

Kenny Cheng 3 Aug 17, 2022
Moment-DETR code and QVHighlights dataset

Moment-DETR QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries Jie Lei, Tamara L. Berg, Mohit Bansal For dataset de

Jie Lei 雷杰 133 Dec 22, 2022
Unified tracking framework with a single appearance model

Paper: Do different tracking tasks require different appearance model? [ArXiv] (comming soon) [Project Page] (comming soon) UniTrack is a simple and U

ZhongdaoWang 300 Dec 24, 2022
Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning

Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning Reference Abeßer, J. & Müller, M. Towards Audio Domain Adapt

Jakob Abeßer 2 Jul 06, 2022