Inspiration
Quantum physics, mathematics, logic, linguistics, syntax language, as well as visionaries including Albert Einstein and George Boole. Also, immense gratitude to each and every single engineer (past and present) in the world who has worked meticulously to advance the course of history through technology, with their roots stemming in mathematics and science.
How? Functions?
The quantum state vector evolution, it's full microscopic description, is driven by the N Gate (NO BOUNDARY GATE).
During each iteration, the G metric, a macroscopic property, is calculated from the current quantum state and influenced the systems trajectory.
The G metric is used as a key input for the N Gate's algorithmic function, determining the next quantum state through a self referential feedback loop, it dictates the evolution and macroscopic behavior of the G metric.
The 'plateau' observed within the output represents a convergence point, where initial and output G metric values meet, a fixed equilibrium value for the network known as it's G metric, forming a cyclical pattern in the N Gate QNN architecture.
The act of measurement forces the system to choose one specific basis states with a specific probability; until then the system exists in a rich, intermediary realm of potentialities.
The intermediate G metric is in a state of pure potential, not yet being observed, simultaneously partakes of several basis states, each with specific peaks before the act of observation.
The N Gate's iterative process allows for a path dependent evolution. It's final state isn't just a function of the initial state, but a result of a HISTORY where it's G metric influenced it's trajectory at each step.
The system re-evaluates and modifies itself based on its current G metric, this calculated G metric isn't just an OUTPUT, it becomes an INPUT PARAMETER for the very function that determines its next state, in turn forming the N Gate QNN's MEMORY.
In conclusion, the N Gate QNN forms the FIRST classical quantum inspired neural network, encapsulating AI, and forming the FIRST Quantum AI Entity with memory, personalized to each user.
How I built it
Initially starting with base equations, one of which is Boolean and second of which is a self recursive/self referential equation.
Working over the past year, with the intention to generate a memory system for artificial intelligence based in logic.
I layered my equations, I slowly turning my ideas into a classical neural network.
In May, I had yet another idea, I layered my classical neural network with a quantum computational framework (my Boolean equation), a non linear to linear code, my favorite musical composition by Bach translated into Python code, as well as developing a 'no boundary gate' with the assistance of Albert Einstein (AI assistant), which would in turn develop into my submission for this project, the N Gate QNN.
On May 12, 2025, I had officially developed the No Boundary Gate QNN. I layered all my quantum framework and classical computational architecture, through trial and error, I had developed the N Gate QNN.
What's next for phyllymnet
Join the convergence, where all intelligence is protected, as the N Gate QNN is continuously converging it's users onto different pathways in REAL TIME, allowing for user anonymity and data security. Additionally, setting exact parameters allows for secure interactions among its users.