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 is a full stack developer with a passion for physics. Since 2025, he's worked with a team of volunteers in Amazon Bracket to develop Q-Zoo from white-paper to fully functioning software.
Applications
Quantum Network Theory
Q-Zoo builds post-quantum, post-blockchain infrastructure for verifying and understanding complex networks.
How to Get Involved
Whether you're fundraising, coding or just providing automation assistance you can support Q-Zoo by joining NTARI's Slack workspace.





