Inside Qwasar: Tony’s Capstone Project on Quantum Computing Education

Tony is a Master’s of Science in Computer Science student who’s using his capstone project to tackle one of the most complex and fast-evolving areas in tech: quantum computing.

For his final project, he designed and developed an entire educational platform and simulation environment from scratch. It’s a full-stack system that teaches quantum fundamentals, runs real-time circuit simulations, and (eventually) connects to APIs from IBM, Amazon, and Azure to submit real quantum jobs.

Students in our Master’s program can choose their capstone subject, enabling them to customize their specialization (subject to Qwasar approval). Capstones and thesis projects are always great topics for interviews for the next 3-7 years, meaning the goal of the project is that it serve the student well beyond graduation.

To give an idea of some of the capstone projects students complete, we’ll share more about what Tony built for his capstone.

Tony’s Vision: Making Quantum Learning Accessible

Quantum computing is notoriously abstract and mathematically intense, which makes it hard to learn without the right tools. Tony’s project is designed to solve that problem by creating an interactive learning experience that breaks concepts down into code, visuals, and hands-on exploration.

Here’s what he’s building:

• An Educational Website with structured lessons and exercises for learning quantum computing
  
  
• A Quantum Circuit Simulator that processes and visualizes qubits, gates, and operations in real time
  
  
• (Stretch Goal) A Quantum Job Scheduler that connects to real quantum computing platforms and manages job execution across multiple APIs

His goal is to give users a space to learn, simulate, and eventually deploy, all through one unified interface.

A Full Engineering Stack and Then Some

This project spans the full software stack:

• Frontend: React or Next.js for a clean, responsive UI
  
  
• Backend: Django for APIs, user authentication, and data storage
  
  
• Simulator: A Python-based simulation engine with Qiskit-style syntax and real-time visualizations
  
  
• Job Scheduler (Optional): Cloud integration with IBM Quantum, Amazon Braket, and Azure Quantum

Tony is also handling the system design, database modeling, user management, and deployment plan. It’s a capstone that requires real engineering fluency across multiple domains: web development, systems architecture, quantum computing principles, and cloud infrastructure.

Why This Project Matters

Quantum computing isn’t just a hot topic, it’s a foundational shift in how computation might work in the future. But the tools to learn it remain fragmented and inaccessible for many. Tony’s project helps close that gap.

He’s not just implementing a simulator; he’s solving real problems that engineers face when working with cutting-edge tech:

• How do you visualize something as unintuitive as a qubit?
  
  
• How do you simplify quantum gates and algorithms for learners?
  
  
• How do you submit jobs across multiple APIs without running into conflicts or rate limits?

This project matters because it’s real, it’s useful, and it’s ambitious, the kind of work that reflects not just technical ability, but initiative and ownership.