
Q-Zoo | Quantum Network Theory
Imagine a box of identical bricks that can form many different machines—but no instructions exist, and some bricks may be counterfeit or tampered with. Classical AI might try to guess the shapes by trial and error. Q-Zoo instead uses physics and mathematics to reveal the true structure, prove which pieces belong together, and generate instructions that are impossible to fake. When those bricks are people, data, or systems in large networks, Q-Zoo doesn’t just sort them—it verifies the structure itself.
About Q-Zoo
Lead Developer
Calvin Secrest
Calvin Secrest has been working since 2025, with a team of volunteers using quantum computing to develop Q-Zoo from white-paper to fully functioning software.
Applications
Quantum Network Theory
Q-Zoo is infrastructure for understanding the potential of complex networks, improving coordination and cooperation.
How to Get Involved
Want to contribute to the Q-Zoo? Join NTARI's Software Development Studio for marketing assistance software edits and more.




