This is the workbook I created while I was studying for the Qiskit Associate Developer exam. I hope this becomes useful to others as it was for me :)

Last update: Dec 10, 2022

Overview

A Workbook for the Qiskit Developer Certification Exam

Hello everyone! This is Bartu, a fellow Qiskitter. I have recently taken the Certification exam and have followed the excellent study guide by James Weaver, which also goes over the sample exam, so make sure to check it out if you haven't already!

While following the guide, I wanted to re-create examples from all specified topics on my own in an organized way to make connections easier. After completing the exam and getting my badge, I thought, hey, why not make this public? Maybe someone else will also find it useful! So this is basically what this workbook is about and I do hope that you get something out of it.

I'd like to thank James Weaver and Saul Sarango for their valuable feedback on the workbook and their encouraging words for making this public! With that, I wish every disicple of Qiskit good luck on the exam!

Contact

Feel free to contact me for any feedback:

LinkedIn	Qiskit Slack

Owner

Bartu Bisgin

B.Sc. of Physics who aspires to become a Quantum Information Scientist, Engineer and Entrepreneur; preparing to do my M.Sc. at Quantum Science and Technonogy

GitHub Repository

Efficient Sparse Attacks on Videos using Reinforcement Learning

EARL This repository provides a simple implementation of the work "Efficient Sparse Attacks on Videos using Reinforcement Learning" Example: Demo: Her

12 Dec 05, 2021

Code and datasets for the paper "KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction"

KnowPrompt Code and datasets for our paper "KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction" Requireme

137 Dec 31, 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

2 Jul 06, 2022

Codes for our paper "SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge" (EMNLP 2020)

SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge Introduction SentiLARE is a sentiment-aware pre-trained language

74 Dec 30, 2022

An LSTM for time-series classification

Update 10-April-2017 And now it works with Python3 and Tensorflow 1.1.0 Update 02-Jan-2017 I updated this repo. Now it works with Tensorflow 0.12. In

391 Dec 27, 2022

Bayesian Optimization Library for Medical Image Segmentation.

bayesmedaug: Bayesian Optimization Library for Medical Image Segmentation. bayesmedaug optimizes your data augmentation hyperparameters for medical im

7 Feb 10, 2022

Distinguishing Commercial from Editorial Content in News

Distinguishing Commercial from Editorial Content in News In this repository you can find the following: An anonymized version of the data used for my

3 Sep 26, 2022

Generating Fractals on Starknet with Cairo

StarknetFractals Generating the mandelbrot set on Starknet Current Implementation generates 1 pixel of the fractal per call(). It takes a few minutes

10 Jul 16, 2022

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

ESRGAN (Enhanced SRGAN) [ 🚀 BasicSR] [Real-ESRGAN] ✨ New Updates. We have extended ESRGAN to Real-ESRGAN, which is a more practical algorithm for rea

4.7k Jan 02, 2023

ComPhy: Compositional Physical Reasoning ofObjects and Events from Videos

ComPhy This repository holds the code for the paper. ComPhy: Compositional Physical Reasoning ofObjects and Events from Videos, (Under review) PDF Pro

29 Dec 29, 2022

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Semantic Segmentation on MIT ADE20K dataset in PyTorch This is a PyTorch implementation of semantic segmentation models on MIT ADE20K scene parsing da

4.5k Jan 08, 2023

Fully Adaptive Bayesian Algorithm for Data Analysis (FABADA) is a new approach of noise reduction methods. In this repository is shown the package developed for this new method based on \citepaper.

Fully Adaptive Bayesian Algorithm for Data Analysis FABADA FABADA is a novel non-parametric noise reduction technique which arise from the point of vi

18 Oct 20, 2022

This is the workbook I created while I was studying for the Qiskit Associate Developer exam. I hope this becomes useful to others as it was for me :)

Related tags

Overview

A Workbook for the Qiskit Developer Certification Exam

Contact

Owner

Bartu Bisgin

Efficient Sparse Attacks on Videos using Reinforcement Learning

Code and datasets for the paper "KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction"

Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning

Codes for our paper "SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge" (EMNLP 2020)

An LSTM for time-series classification

Bayesian Optimization Library for Medical Image Segmentation.

Distinguishing Commercial from Editorial Content in News

Generating Fractals on Starknet with Cairo

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

ComPhy: Compositional Physical Reasoning ofObjects and Events from Videos

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Fully Adaptive Bayesian Algorithm for Data Analysis (FABADA) is a new approach of noise reduction methods. In this repository is shown the package developed for this new method based on \citepaper.

PyTorch implementation of Deep HDR Imaging via A Non-Local Network (TIP 2020).

Multi-layer convolutional LSTM with Pytorch

SplineConv implementation for Paddle.

GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich

Instance-conditional Knowledge Distillation for Object Detection

A sketch extractor for anime/illustration.

PIXIE: Collaborative Regression of Expressive Bodies

Video Instance Segmentation with a Propose-Reduce Paradigm (ICCV 2021)