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US 2025/0165826 A1Published application
Machine Learning Paradigm Based on Quantum Cognition (QCML)
AssigneeQognitive Inc.
InventorGaren Musaelian
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Abstract
A system and method for using quantum cognition for modeling an event, the method comprising the steps of: generating (learning) an operator, wherein the operator represents the observable in Hilbert space; and modeling a relationship between represented variables to deduce a probability of the event.
Claims22
A method for using quantum cognition for modeling an event, the method comprising the steps of:
- generating an operator, wherein the operator represents the observable in Hilbert space;
- and modeling a relationship between represented variables to deduce a probability of the event.
A method for using quantum cognition for modeling or forecasting an event, the method comprising the steps of:
- generating an operator, wherein the operator represents the observable in Hilbert space;
- and determining a relationship between represented variables for modeling an event.
A system for implementing quantum cognition for forecasting an event, the system comprising:
- a processor;
- a non-transitory storage element coupled to the processor;
- encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the system to:
- utilize a generating module configured to encode an observable into an operator in a Hilbert Space (HSM);
- and forecast an event based on the manipulation of the operator in the HSM.
2 more elements
Dependencies are inferred from the claim text.