Quantum-Inspired
Object Tracking System
A revolutionary framework unifying classical mechanics, statistical physics, and quantum-inspired representations for next-generation multi-object tracking.
Physics-Grounded Neural Tracking
Q-OTS integrates principles from classical mechanics, thermodynamics, and quantum mechanics.
QPand State Vector
17-dimensional extended state capturing position, velocity, acceleration, curvature, jerk, and directional orientation.
Learn more →Boltzmann Field
Energy-based probabilistic motion fields using statistical mechanics for robust uncertainty quantification.
Learn more →Bloch Representation
Quantum-inspired phase encoding on the Bloch sphere for multi-regime motion modeling.
Learn more →Wavepacket Dynamics
Localized probability distributions that spread and interfere during occlusions.
Learn more →Neural ODEs
Physics-informed neural differential equations for learning complex nonlinear dynamics.
Learn more →Quantum Attention
Phase-modulated attention mechanisms inspired by quantum interference.
Learn more →Detection Input
YOLO / Faster R-CNN
QPand Encoder
17-dim classical state
Boltzmann Field
Energy-based probability
Bloch-Wavepacket
Quantum-inspired encoding
Association
Hungarian + Interference
Unified Tracking Pipeline
Q-OTS processes detections through a multi-stage pipeline that extracts rich motion features and performs quantum-inspired association.
- Handles nonlinear biological motion patterns
- Robust to extended occlusions via wavepacket spreading
- Multi-regime motion encoding with Bloch spheres
- Physics-constrained predictions
- End-to-end differentiable
Technical Architecture
Deep dive into the physics-grounded components that power Q-OTS
Community Hub
Connect with researchers and developers working on Q-OTS
Join the Q-OTS Community
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Get in Touch
Have questions, suggestions, or want to collaborate?
dpkai@protonmail.com
GitHub
github.com/dpkpandey