qiskit-community/ibm-quantum-challenge-fall-22

For IBM Quantum Fall Challenge 2022

IBM Quantum Challenge Fall 2022

Thank you! We have completed this challenge on Nov 18th, 2022.

Prologue (video)	Story (pdf)

Challenge contents

• Lab 1: Introduction to Primitives on Qiskit Runtime (Japanese, Korean, Spanish)
• Lab 2: Quantum Kernel Learning with Qiskit Runtime (Japanese, Korean, Spanish)
• Lab 3: Quantum Optimization Challenge - Get Your Starship out of a Sticky Situation! (Japanese, Korean, Spanish)
• Lab 4: Quantum Chemistry Challenge - Use Quantum Computers to Explore Interstellar Space! (Japanese, Korean, Spanish)

Challenge solution examples

• Lab 1: by authors
• Lab 2: by authors
• Lab 3: by authors
• Lab 4: by participants, by authors

Final challenge submissions

The final challenge submissions shows the list of scroers who made submission to the final exercise.

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Introduction

We are proud to welcome you back for another bi-annual IBM Quantum Challenge this fall! This time we are taking you through an interactive intergalactic storyline and introducing you to a new programming model for building algorithmic routines - The Qiskit Primitives. Qiskit Primitives showcases two of the currently available primitive constructs: Sampler and Estimator - building on core common algorithmic routines in the domain of Optimization, Chemistry and Machine Learning, while also using them as an interface to explore the offerings of the Qiskit Runtime service.

Starting on Friday, November 11 (9AM EDT), embark with us on an 7-day space journey of learning and exploring the latest cutting edge capabilities of Qiskit and Qiskit Runtime service to help you build on skills and tackle constructing quantum algorithmic routines accommodating a few real life deployment practices. You can read more about the challenge in the announcement blog.

Make sure to join the dedicated Slack channel #challenge-fall-2022 where you can connect with mentors and fellow attendees! Join the Qiskit Slack workspace here if you haven't already.

Following this challenge, if you are looking to apply your new-found knowledge further, we encourage you to participate in the IBM Open Science Prize that will be announced later this year! Every year, a new technical challenge at the forefront of quantum computing is posed to the entire world and those who generate the strongest solutions can win thousands of dollars in prizes. We hope to see you there too!

Event Code of Conduct

Preparatory Study Resources

FAQ / Wiki

ibm-quantum-challenge-fall-22's Issues

Lab 4 `evaluate_expectation` function `results` bug

In Lab 4, Calculate the ground state of H3+ section

# Define evaluate_expectation function
def evaluate_expectation(x):
    x = list(x)
    
    # Define estimator run parameters
    #### enter your code below ####
    job = # ----------- Enter your code here
    results = job.values[0]
    job_list.append(job)
    
    # Pass results back to callback function
    return np.real(results)

results = job.values[0] should be results = job.result().values[0]

fix: adding collapsible markdown on the wiki esp. Home page

Instead of this original

I propose this modification

It looks bad in the VSCode but it is good and functional in the web browser

But I don't know how to propose PR on GitHub Wiki. Please, consider this approach. Thanks!