Inspiration
Traditional personality systems like MBTI treat identity as fixed. But in basketball—and in life—behavior changes with pressure, context, and interaction. Inspired by quantum mechanics, where states are probabilistic until measurement, we asked: what if personality is the same?
What it does
BBTI-Quantum models personality as a probabilistic system. Instead of assigning a fixed type, user decisions are encoded into a quantum circuit. After measurement, the system outputs a distribution over personality archetypes—capturing not just who you are, but how you behave under uncertainty.
How we built it
We used a React frontend for an interactive, scenario-based test and a Python backend powered by Qiskit. Each answer contributes rotation angles to qubits. The circuit evolves as: [ |\psi\rangle = U(\theta_1, \theta_2, \theta_3)\,|000\rangle ] Measurement produces bitstrings (b \in {0,1}^3), which are mapped to personality types.
Challenges we ran into
Mapping human decisions to quantum parameters was nontrivial. We faced symmetry issues (e.g., (\theta) vs. (-\theta)) producing similar outputs, and balancing interpretability with mathematical correctness was challenging.
Accomplishments that we're proud of
We built a full pipeline from user input → quantum simulation → personality output. The system demonstrates a novel way to model behavior as probabilistic and emergent.
What we learned
We learned how to translate abstract quantum ideas into intuitive user experiences, and how uncertainty can be a feature rather than a flaw in modeling human behavior.
What's next for Quantum based basketball personality test
We plan to scale to (n)-qubit systems, allowing up to (2^n) personality states, improve circuit design, and add visualizations (e.g., Bloch spheres) to make the quantum process more transparent.
Built With
- javascript
- python
- vercel
- vscode
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