wtf is artificial-super-intelligence?

This project is a small quantum computing experiment written in Spanish, despite its ambitious name. It is a single quantum circuit that performs zero shot classification, meaning it sorts an input it has never seen before into one of four predefined categories, using only quantum operations, with no classical machine learning model involved and no training step. The circuit works by putting four possible answer categories into superposition, encoding the new input as rotation angles on two qubits, then calculating how similar the input is to each of the four categories using a quantum kernel. That similarity is turned into a phase shift, and a single round of Grover's algorithm, a well known quantum search technique, is used to amplify the most likely matching category before a final measurement collapses the circuit to one answer. The README reports test results of 5 out of 5 correct classifications, with confidence between 93 and 96 percent on clear inputs, and a close to even split of probabilities when an input is deliberately ambiguous, which the author presents as the circuit honestly expressing uncertainty rather than guessing. The author is explicit about the limitations: this is not a general artificial intelligence, it only classifies four fixed categories, it does not retrain itself and needs a new circuit built for each new input, the reference angles for each category are hardcoded, and running on real quantum hardware instead of a simulator would introduce noise that lowers accuracy. The project is a single Python script that uses the Qiskit quantum computing library with its Aer simulator, plus matplotlib for plotting. To run it, you install qiskit, qiskit-aer, matplotlib, and pylatexenc, then run the script directly. No license is stated in the README.