Qiskit Fall Fest CIC-IPN Mexico 2021 - haq.ai

Qiskit Fall Fest CIC-IPN Mexico 2021 - haq.ai

by Adam Fattal

Applied Sciences & Engineering Computing & Cybersecurity UYComputer scienceUYXNatural computing
🎙 Adam Fattal 👥 477 📅 October 21, 2021 ⏱ 19 min 👁 48 📄 tutorial 🧭 2026-08-18
Available in: English (current) Français

Keywords

quantum computingQiskiteducationprogrammingplatform

Summary

The video is a presentation by Adam Fattal, a physics undergraduate at Durham University, introducing haq.ai, a platform for learning quantum computing through problem-solving. The platform, developed by a team of students called the Eigen Solvers, offers around 100 problems of varying difficulty, designed to supplement traditional learning resources like the Qiskit textbook and Nielsen & Chuang. The presentation covers the team background, the platform’s features, and a live demo. The platform includes two main challenges: the Eigen Solver Challenge, which surveys intermediate quantum computing topics, and the NumPy Challenge, which teaches the mechanics behind quantum circuit simulators. The team plans to add more challenges, including a pulse challenge and a quantum machine learning challenge based on IBM’s Qiskit Global Summer School. The platform is in beta, with about 200 users, and the team is open to collaboration and feedback. The presentation concludes with a Q&A session where the speaker discusses the number of contributors and the platform’s role as a supplement to formal education.

165 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a clear and honest overview of a new educational platform. The value lies in the presentation of a practical tool for quantum computing learners, with a focus on interactive problem-solving. The argumentation is straightforward, emphasizing the platform’s role as a supplement to existing resources. The speaker does not overstate the platform’s capabilities, acknowledging its beta stage and limitations. The live demo effectively illustrates the user experience, though the technical depth is limited, as the speaker notes that no technical content is prepared. The presentation is more of a showcase than a rigorous scientific discussion, but it offers valuable insights into the development of educational tools in quantum computing.

Scientific Rigor, Source Quality, Title Accuracy

The video does not cite any external sources, and the description only provides a brief overview of the platform. The speaker mentions the Qiskit textbook and Nielsen & Chuang as resources, but these are not formally cited. The title accurately reflects the content, which is a presentation of the haq.ai platform at a Qiskit event. The lack of formal citations and the informal nature of the presentation reduce the scientific rigor. However, the speaker is transparent about the project’s stage, which adds credibility. The video is more of a project presentation than a scientific talk, so the expectations for source quality are lower.

229 words

Title / Content Match

The title accurately reflects the content, which is a presentation of the haq.ai platform at a Qiskit event.

Quality & Reliability

6/10

The video is a presentation of a platform in beta, with no formal citations or references. The speaker is transparent about the project's stage and limitations, but the lack of external sources and the informal nature reduce the reliability score.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

  • haq.ai — The platform being presented

Concurring Sources

  • Qiskit — The quantum computing framework used in the platform

Contribution & Novelties

The video presents haq.ai, a novel platform that applies the competitive programming model to quantum computing education. This approach is relatively new and offers a hands-on, problem-solving supplement to traditional learning. The platform’s design, with challenges and tokens, aims to engage users and track progress. The presentation also highlights the team’s openness to collaboration and community-driven development.

Pour aller plus loin :

  • Qiskit Textbook — A comprehensive resource for learning quantum computing, mentioned in the video.
  • Nielsen & Chuang — The standard textbook on quantum computing, referenced as a key resource.
  • LeetCode — A popular platform for coding challenges, which inspired the haq.ai model.
  • Quantum Error Correction — A topic covered in the platform’s challenges.

115 words

Radar Profile

The radar profile shows moderate scores across all dimensions, with a slight emphasis on information quantity and reliability. This reflects the video's nature as a project presentation with limited technical depth but a clear and honest overview.

Reliability 6/10

💬 No comments were provided for analysis.