{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11501195","patent":{"patent_number":"US-11501195","title":"Systems and methods for quantum processing of data using a sparse coded dictionary learned from unlabeled data and supervised learning using encoded labeled data elements","assignee":null,"inventors":[],"filing_date":"2017-07-03T00:00:00.000Z","publication_date":"2022-11-15T00:00:00.000Z","cpc_codes":["G06F","G06N","G06V","G06V","G06V","G06F","G06F","G06F"],"num_claims":17,"abstract":"Systems, methods and aspects, and embodiments thereof relate to unsupervised or semi-supervised features learning using a quantum processor. To achieve unsupervised or semi-supervised features learning, the quantum processor is programmed to achieve Hierarchal Deep Learning (referred to as HDL) over one or more data sets. Systems and methods search for, parse, and detect maximally repeating patterns in one or more data sets or across data or data sets. Embodiments and aspects regard using sparse coding to detect maximally repeating patterns in or across data. Examples of sparse coding include L0 and L1 sparse coding. Some implementations may involve appending, incorporating or attaching labels to dictionary elements, or constituent elements of one or more dictionaries. There may be a logical association between label and the element labeled such that the process of unsupervised or semi-supervised feature learning spans both the elements and the incorporated, attached or appended label."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods for quantum processing of data using a sparse coded dictionary learned from unlabeled data and supervised learning using encoded labeled data elements","description":"Systems, methods and aspects, and embodiments thereof relate to unsupervised or semi-supervised features learning using a quantum processor. To achieve unsupervised or semi-supervised features learnin","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11501195","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11501195","citation_suggestion":"Patentable. \"Systems and methods for quantum processing of data using a sparse coded dictionary learned from unlabeled data and supervised learning using encoded labeled data elements\" (US-11501195). https://patentable.app/patents/US-11501195","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11501195","json":"https://patentable.app/api/llm-context/US-11501195","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T01:35:34.436Z"}