For IBM Quantum Challenge 2021 (May 20 - 26)

Related tags

Deep Learningibm-quantum-challenge-2021
Overview

IBM Quantum Challenge 2021

LicenseLast updated

Introduction

Commemorating the 40-year anniversary of the Physics of Computation conference, and 5-year anniversary of IBM putting the first quantum computer on the cloud, we're excited to present the IBM Quantum Challenge 2021.

Read more about the challenge in the announcement blog and find the learning resources to prepare for the challenge.

Challenge content

English Español Français हिन्दी Bahasa Indonesia 日本語 한국어 Tiếng Việt
Ex1: Toffoli gate (1980) ex1 ex1-es ex1-fr ex1-hi ex1-id ex1-ja ex1-ko ex1-vi
Ex2: Shor's algorithm (1994) ex2 ex2-es ex2-fr ex2-hi ex2-id ex2-ja ex2-ko ex2-vi
Ex3: Quantum error correction (1995) ex3 ex3-es ex3-ja ex3-ko ex3-vi
Ex4: Transmon qubits (2007) ex4 ex4-es ex4-ja ex4-ko
Ex5: Variational quantum eigensolver (2014) ex5 ex5-es ex5-hi ex5-ja ex5-ko

Top scorers

Here's a list of 212 participants who have completed exercise 5 with the best solutions (3 CNOTs).

  • Aakash Aakash
  • Aakif Akhtar
  • Abeer Vaishnav
  • Abhijit Mitra
  • Adarsh Chandrashekhar
  • Adem Rahal
  • Adhil Muhammed
  • Adrien Suau
  • Akshay Kale
  • Akshay Mathad
  • Akshay Pachbudhe
  • Akshay Padte
  • Alain Chance
  • Alberto Maldonado
  • Alessandro Genuardi
  • Alexandra Godova
  • Aman Ganeju
  • Ameya Jain
  • Amir Naveh
  • Ana Nikolic
  • Andras Czegel
  • Andrea Ceschini
  • Andres Damian Munoz Moller
  • Annabel Kropf
  • Anuranan Das
  • Anuranjan Sarkar
  • Areeq Hasan
  • Artem Zasypalov
  • Arthi Udayakumar
  • Ashish Arya
  • Atithi Acharya
  • Ayumu Shiraishi
  • Bhargav Das
  • Bhargav Das
  • Billy Lim
  • Bjorn Lofdahl
  • Brian Shi
  • Bryan Renard
  • Carlo Cascio
  • Chinglin Kao
  • Christof Wendenius
  • Clement Dupont
  • Daniel Reilly
  • Dario Petrillo
  • David Schlegel
  • David Spataro
  • Davit Khachatryan
  • Dhruv Gopalakrishnan
  • Diego Quinones
  • Diego Serrano
  • Divyanshu Singh
  • Doi Ken
  • Eileen Kuehn
  • Elena Pena Tapia
  • Eliott Rosenberg
  • Emilio Pelaez Cisneros
  • Farida Shagieva
  • Florencia Cuzmar Khayatte
  • Florian Preis
  • Franz Von Silva-Tarouca
  • Freddie Samy
  • George Umbrarescu
  • George Zhou
  • Gerardo Suarez
  • Gireesh Kumar Neelakantaiah
  • Grant Eberle
  • Gunay Soni
  • Hidetaka Manabe
  • Hojun Lee
  • Hyun Jin Kim
  • Igor Tokarev
  • Ijas A H
  • Irham Arfakhsadz Putra
  • Ishwor Khanal
  • Jacob Cybulski
  • Jakub Mrozek
  • Jeremy First
  • Jeroen Winkel
  • Jessica Angel
  • Joao Galego
  • Joshua John
  • Joshua Wang
  • Juan Ignacio Cornet
  • Kaito Asai
  • Kamen Petroff
  • Kanamori Yusuke
  • Karan Khendry
  • Kaveri Priya Putti
  • Kavitha S S
  • Kevin Mato
  • Krishanu Podder
  • Lakshmi Siri Appalaneni
  • Lena Perennes
  • Leonardo Placidi
  • Liu Willy
  • Lorenzo Saraiva
  • Luciano Ivan Pereira Valenzuela
  • Lukas Burgholzer
  • Marcos Rubin
  • Martins Kalis
  • Maxime Dion
  • Meghana Ayyala Somayajula
  • Meghashrita Das
  • Mehil Agarwal
  • Michael Rollin
  • Mitesh Adake
  • Mohammed Aamir Qudsi
  • Mohana Sravya Appalaneni
  • Mohit Mittal
  • Naman Jain
  • Nilay Awasthi
  • Nilesh Goel
  • Nitin Nayak
  • Oat Bahadur Dhakal
  • Oskar Slowik
  • Ovidiu Condrache
  • Parmeet Singh Chani
  • Parth Bhandari
  • Parth Darekar
  • Parth Shah
  • Pascal Debus
  • Pete Hendrickson
  • Pham Minh
  • Pinaki Sen
  • Polina Levyant
  • Prajjwal Vijaywargiya
  • Pranav Mundada
  • Prateek Jain
  • Pritam Sinha
  • Purushottam Sigdel
  • Qi Ding
  • Qiaoyi Lin
  • Qingpeng Li
  • Rafal Pracht
  • Rahul Jaguste
  • Raoul Heese
  • Raphael Seidel
  • Ravi Bansal
  • Reem Abdel-Salam
  • Ren Yu Zhang
  • Renata Wong
  • Ricardo Garcia
  • Riccardo Pulcini
  • Richard Ferstl
  • Richard Li
  • Rijul Sachdeva
  • Riya Malani
  • Rohan Bhatia
  • Rohit Prasad
  • Rupesh R K
  • Saif Khan
  • Samantha Lang
  • Sanidhya Gupta
  • Sanivarapu Sarath Chandra Reddy
  • Sanjay Shukla
  • Satyam Agarwal
  • Saumya Goyal
  • Sean Meng
  • Sebastian Brandhofer
  • Sergi Masot
  • Sergio Andres Cotrino Sandoval
  • Sergio Martinez-Losa Del Rincon
  • Shahak Lahav
  • Shashwat Shukla
  • Shilpa Mahato
  • Shivani Mayekar
  • Shohei Takimoto
  • Shota Nakasuji
  • Shovit Bhari
  • Shyh-Hao Kuo
  • Si Er Han
  • Siddhartha Morales
  • Siyuan Niu
  • Soya Saijo
  • Stefan Hillmich
  • Subhadeep Biswas
  • Sudhindu Bikash Mandal
  • Suryansh Aryan
  • Tai Yue Li
  • Takashi Mitani
  • Takehiko Amano
  • Taku Furu
  • Tanya Garg
  • Tharrmashastha Sapv
  • Thong Le
  • Tobias Lachermeier
  • Tristan Nemoz
  • Truyen Le Duc
  • Tsung-Wei Huang
  • Tzu-Chieh Wei
  • Ursula Maria Mayer
  • Ushan Fernando
  • Utkarsh Azad
  • Utkarsh Singh
  • Valerio Bitetta
  • Varsha Nair
  • Victor Rollano
  • Viduranga Landers
  • Vipul Jain
  • Vishal Bajpe
  • Vladimir Zaytsev
  • Wei-Bin Ewe
  • Wei-Bin Ewe
  • Wei-Chen Chien
  • Xiaopeng Duan
  • Yi Xiong Chen
  • Yien Wu
  • Yu-Chao Hsu
  • Yuya Kawamata
  • Zhixin Song
  • Zhiyong Zhang
  • Zoltan Andras Udvarnoki

Guidelines for participation

FAQ

Hints for solving challenge exercises

You might also like...
CVPR 2021 Challenge on Super-Resolution Space
CVPR 2021 Challenge on Super-Resolution Space

Learning the Super-Resolution Space Challenge NTIRE 2021 at CVPR Learning the Super-Resolution Space challenge is held as a part of the 6th edition of

andreas 104 Oct 26, 2022
This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.
This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.

Skeleton Aware Multi-modal Sign Language Recognition By Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li and Yun Fu. Smile Lab @ Northeastern

Isen (Songyao Jiang) 128 Dec 8, 2022
🏆 The 1st Place Submission to AICity Challenge 2021 Natural Language-Based Vehicle Retrieval Track (Alibaba-UTS submission)
🏆 The 1st Place Submission to AICity Challenge 2021 Natural Language-Based Vehicle Retrieval Track (Alibaba-UTS submission)

AI City 2021: Connecting Language and Vision for Natural Language-Based Vehicle Retrieval 🏆 The 1st Place Submission to AICity Challenge 2021 Natural

null 82 Dec 29, 2022
The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.

AICITY2021_Track2_DMT The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop. Introduction

Hao Luo 91 Dec 21, 2022
Waymo motion prediction challenge 2021: 3rd place solution
Waymo motion prediction challenge 2021: 3rd place solution

Waymo motion prediction challenge 2021: 3rd place solution 📜 Technical report 🗨️ Presentation 🎉 Announcement 🛆Motion Prediction Channel Website 🛆

null 158 Jan 8, 2023
UIUCTF 2021 Public Challenge Repository

UIUCTF-2021-Public UIUCTF 2021 Public Challenge Repository Notes: every challenge folder contains a challenge.yml file in the format for ctfcli, CTFd'

SIGPwny 15 Nov 3, 2022
Music Source Separation; Train & Eval & Inference piplines and pretrained models we used for 2021 ISMIR MDX Challenge.
Music Source Separation; Train & Eval & Inference piplines and pretrained models we used for 2021 ISMIR MDX Challenge.

Music Source Separation with Channel-wise Subband Phase Aware ResUnet (CWS-PResUNet) Introduction This repo contains the pretrained Music Source Separ

Lau 100 Dec 25, 2022
EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers

EntityQuestions This repository contains the EntityQuestions dataset as well as code to evaluate retrieval results from the the paper Simple Entity-ce

Princeton Natural Language Processing 119 Sep 28, 2022
4th place solution for the SIGIR 2021 challenge.

SIGIR-2021 (Tinkoff.AI) How to start Download train and test data: https://sigir-ecom.github.io/data-task.html Place it under sigir-2021/data/. Run py

Tinkoff.AI 4 Jul 1, 2022
Comments
  • IBMQuantum challenge participant solution

    IBMQuantum challenge participant solution

    i am khadija ech-challaouy and those are the solution to exercises 1 and 2 that I have submitted in the challenge, also I did exercises 3, and 4 but after the deadline, because I was busy with some university's exams, i hope u can accept my contributions.

    opened by echchallaouy 2
  • Exercise 5 Solution of Score 3 by Nilesh Goel

    Exercise 5 Solution of Score 3 by Nilesh Goel

    I have added two files, one is Jupyter python notebook, which can be ran as it is and other is an HTML file with the same code and results. The files have been uploaded in "ex5" folder in the folder "Solutions by participants". The details are given as follows:

    1. Name: Nilesh Goel
    2. Score/Cost: 3
    3. Chemical Accuracy: 2.364 mHa
    4. Number of Parameters: 16
    solution ex5 
    opened by ph1170833 2
  • Add submission ex2 Spanish translation ex2 and Spanish translation for ex3

    Add submission ex2 Spanish translation ex2 and Spanish translation for ex3

    Submission for ex2 by Mauricio Gómez Viloria. Not a solution but theoretical tutorial to arrive at the optimal solution. Also added a translation of ex2 and ex3 in Latin American Spanish by Mauricio Gómez Viloria and Manuel Morgado.

    translation ex2 ex3 
    opened by quantumAnsatz 2
Releases(2.0.0)
Owner
Qiskit Community
Qiskit Community
GitHub Repository https://ibm.co/iqc2021
Official implementation of paper Gradient Matching for Domain Generalization

Gradient Matching for Domain Generalisation This is the official PyTorch implementation of Gradient Matching for Domain Generalisation. In our paper,

94 Dec 23, 2022
Unadversarial Examples: Designing Objects for Robust Vision

Unadversarial Examples: Designing Objects for Robust Vision This repository contains the code necessary to replicate the major results of our paper: U

Microsoft 93 Nov 28, 2022
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

DAGAN This is the official implementation code for DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruct

TensorLayer Community 159 Nov 22, 2022
Prometheus exporter for Cisco Unified Computing System (UCS) Manager

prometheus-ucs-exporter Overview Use metrics from the UCS API to export relevant metrics to Prometheus This repository is a fork of Drew Stinnett's or

Marshall Wace 6 Nov 07, 2022
Exploring the link between uncertainty estimates obtained via "exact" Bayesian inference and out-of-distribution (OOD) detection.

Uncertainty-based OOD detection Exploring the link between uncertainty estimates obtained by "exact" Bayesian inference and out-of-distribution (OOD)

Christian Henning 1 Nov 05, 2022
torchsummaryDynamic: support real FLOPs calculation of dynamic network or user-custom PyTorch ops

torchsummaryDynamic Improved tool of torchsummaryX. torchsummaryDynamic support real FLOPs calculation of dynamic network or user-custom PyTorch ops.

Bohong Chen 1 Jan 07, 2022
Its a Plant Leaf Disease Detection System based on Machine Learning.

My_Project_Code Its a Plant Leaf Disease Detection System based on Machine Learning. I have used Tomato Leaves Dataset from kaggle. This system detect

Sanskriti Sidola 3 Jun 15, 2022
HandTailor: Towards High-Precision Monocular 3D Hand Recovery

HandTailor This repository is the implementation code and model of the paper "HandTailor: Towards High-Precision Monocular 3D Hand Recovery" (arXiv) G

Lv Jun 113 Jan 06, 2023
A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions

A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions Kapoutsis, A.C., Chatzichristofis,

Athanasios Ch. Kapoutsis 5 Oct 15, 2022
CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement

CBREN This is the Pytorch implementation for our IEEE TCSVT paper : CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhanceme

Zhao Hengrun 3 Nov 04, 2022
Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks

Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks Work accepted at NeurIPS'21 [paper, video]. If you use this code in

TU Delft 43 Dec 07, 2022
This respository includes implementations on Manifoldron: Direct Space Partition via Manifold Discovery

Manifoldron: Direct Space Partition via Manifold Discovery This respository includes implementations on Manifoldron: Direct Space Partition via Manifo

dayang_wang 4 Apr 28, 2022
Fight Recognition from Still Images in the Wild @ WACVW2022, Real-world Surveillance Workshop

Fight Detection from Still Images in the Wild Detecting fights from still images is an important task required to limit the distribution of social med

Şeymanur Aktı 10 Nov 09, 2022
Official implementation of EfficientPose

EfficientPose This is the official implementation of EfficientPose. We based our work on the Keras EfficientDet implementation xuannianz/EfficientDet

2 May 17, 2022
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

HackerMath for Machine Learning “Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” ― Richard

Amit Kapoor 1.4k Dec 22, 2022
Random Walk Graph Neural Networks

Random Walk Graph Neural Networks This repository is the official implementation of Random Walk Graph Neural Networks. Requirements Code is written in

Giannis Nikolentzos 38 Jan 02, 2023
End-to-end Temporal Action Detection with Transformer. [Under review]

TadTR: End-to-end Temporal Action Detection with Transformer By Xiaolong Liu, Qimeng Wang, Yao Hu, Xu Tang, Song Bai, Xiang Bai. This repo holds the c

Xiaolong Liu 105 Dec 25, 2022
2021-MICCAI-Progressively Normalized Self-Attention Network for Video Polyp Segmentation

2021-MICCAI-Progressively Normalized Self-Attention Network for Video Polyp Segmentation Authors: Ge-Peng Ji*, Yu-Cheng Chou*, Deng-Ping Fan, Geng Che

Ge-Peng Ji (Daniel) 85 Dec 30, 2022
The official implementation of EIGNN: Efficient Infinite-Depth Graph Neural Networks (NeurIPS 2021)

EIGNN: Efficient Infinite-Depth Graph Neural Networks The official implementation of EIGNN: Efficient Infinite-Depth Graph Neural Networks (NeurIPS 20

Juncheng Liu 14 Nov 22, 2022
Semi-supervised learning for object detection

Source code for STAC: A Simple Semi-Supervised Learning Framework for Object Detection STAC is a simple yet effective SSL framework for visual object

Google Research 348 Dec 25, 2022