Hybrid Computing
Quantum + classical algorithms
Hybrid architectures can use classical and quantum resources together, with algorithms directing decisions, data analysis and physical systems.
Patent Pending • USPTO 19/532,226 | Hybrid Quantum + Classical Algorithms • Autonomous Robotics
Self-directed robots & drones for detection and medical applications.
DeTection Inc. develops hybrid quantum and classical algorithm systems for automated robots and drones, combining autonomous physical procedures with matter detection, standardized environmental observation and data-driven analysis of individual matter and associated matter clusters.
HybridQuantum + classical algorithms
AutonomousRobots and drones
MedicalSelect automated applications
GlobalLicensing opportunities
DeTection Inc. Technology
Algorithms that connect sensing, decisions and autonomous physical action.
The platform is designed around hybrid quantum and classical computing methods that can support self-directed automated drones and robots. In medical applications, the goal is to combine robotic procedures with fast detection of abnormal cells and other target matter using UMMDA technology.
Autonomous Mobility
Robots and drones
Mobile platforms can be used for sensing, inspection, material collection, monitoring and selected automated procedures.
Matter Detection
Real-time detection layer
UMMDA provides the matter-detection component for identifying targeted substances, microorganisms and abnormal cells in applicable environments.
Patent application detail: U.S. Application 19/532,226 includes claims directed to self-directed robotic systems that use stored and real-time procedural data, trained models and robotic apparatuses to carry out autonomous physical procedures. The application also describes embodiments using quantum-computing devices alongside classical computing and robotic control. Read the filed application ↗
UMMDA • Universal Multipurpose Matter Detection
Quick, targeted detection designed for mobile and automated systems.
DeTection Inc. couples its autonomous robotics concepts with patent-pending UMMDA technology for detection of matter and microorganisms. UMMDA is intended for applications spanning medical, residential, commercial, industrial and environmental settings.
Abnormal cellsMicroorganismsToxic matterEnvironmental monitoringAutomated detection
Learn more
UMMDA.ai
Explore the dedicated UMMDA website for the matter-detection platform and its applications.
Referenced application family: USPTO 18/141,374 and PCT/US2023/020501.
Application Areas
From medical environments to farms, facilities and homes.
The technology is being developed for automated detection and selected robotic applications across multiple environments. Specific implementations depend on the target matter, sensing method, robotic platform and regulatory requirements.
Medical applications
Selected automated medical applications combining robotic procedures with rapid detection of abnormal cells and other target matter.
Residences & businesses
Automated detection concepts for toxic or unwanted matter in indoor residential and commercial environments.
Greenhouses & farming
Robotic and drone-based monitoring concepts for agricultural, greenhouse and farming environments.
Meat processing facilities
Automated detection and monitoring concepts for food-processing environments where rapid identification of targeted matter may be useful.
Environmental detection
Mobile robotic and drone systems for monitoring water, air, surfaces and other environmental conditions, with potential standardized collection of spatial and temporal matter observations.
Municipal & institutional use
Potential field-of-use licensing for municipalities, educational institutions and other organizations seeking automated robotic detection solutions.
Matter Intelligence • Automated Observation • Data
Beyond individual particles: characterize what travels together, where it appears and how patterns change.
Many environments need more than identification of an isolated particle or microorganism. DeTection Inc. is developing concepts for characterizing associated clusters of matter — for example, biological material found with fibers, fragments or other environmental matter — and recording those observations across time and location.
Matter Clusters
Preserve associations
Rather than treating every detected item as an unrelated observation, the system can preserve information about matter found together, creating richer signatures for research, monitoring and source investigation.
Automation
Robots, drones & fixed systems
Automated observation and collection can support repeatable procedures at scale while reducing human-introduced contamination and sampling variability. Specific collection and sensing methods depend on the application and require validation.
Vectors & Patterns
Spatial and temporal intelligence
Repeated observations may reveal associations among locations and matter clusters and support investigation of candidate deposition or movement vectors such as air, footwear, clothing, equipment or other pathways. Such associations do not by themselves establish causation.
Long-Term Data Opportunity
A growing matter-intelligence database.
Standardized observations can create structured records describing matter identity and characteristics, cluster composition, time, location, environmental context and recurring patterns. At scale, this database may support monitoring, analytics, research collaborations, licensing and other commercial data applications, subject to validation, privacy, regulatory and contractual requirements.
Matter identityCluster compositionTime & locationEnvironmental contextPattern analysis
Hybrid analysis: Classical AI can perform sensing, preprocessing and conventional classification while hybrid quantum/classical methods can be experimentally evaluated for complex feature selection, classification, clustering and optimization as datasets grow. DeTection Inc. does not claim that quantum methods currently outperform classical methods.
Worldwide Licensing
Licensing agreements available worldwide.
DeTection Inc. is open to licensing discussions for countries, territories, educational institutions and municipalities for automated robotic matter detection and selected automated medical applications. Rights, exclusivity, field of use, territory and commercialization terms are subject to a definitive written agreement.
Research Update • September 28, 2026
Initial photonic quantum classification workflow successfully implemented.
DeTection Inc. implemented and executed an initial medical/biological classification workflow using Quandela’s MerLin framework in perfect simulation. The benchmark used the publicly available Breast Cancer Wisconsin (Diagnostic) dataset to test a reproducible photonic quantum computing pipeline before progressing toward noise modeling and quantum hardware.
FidelityKernel
97.5% test accuracy
Both the 2-photon and 3-photon FidelityKernel configurations achieved 97.5% accuracy on the held-out 40-case test subset.
Quantum Reservoir Classifier
97.5% / 95.0%
The 2-photon Quantum Reservoir Classifier achieved 97.5% test accuracy; the 3-photon configuration achieved 95.0%.
Benchmark Scope
Reproducible simulation
The experiment used 6 PCA-reduced features, 80 training cases and 40 test cases, with perfect simulation (shots=0).
Important context: These results are simulation results, not Quandela QPU or hardware performance. They are not evidence of quantum advantage and are not clinical validation or a diagnostic result.
Research direction: This reproducible workflow provides a foundation for evaluating hybrid quantum/classical methods on future biological and matter datasets, including feature selection, classification and analysis of increasingly complex observations.
Patent Applications
Technology supported by pending patent families.
Autonomous Medical Robotics • Patent Pending
Robots Self-Directed by Quantum Computing and Classical Algorithms for Autonomous Physical Procedures
U.S. Patent Application 19/532,226 covers self-directed robotic systems and methods for autonomous physical procedures in medical, dental, cosmetic, dermatology, ophthalmology and veterinary applications. The filed claims describe systems using robotic apparatuses, archived and real-time procedure data, trained models, autonomous control, and in some embodiments quantum-computing components.
Related international application: PCT/US2026/014456.
UMMDA Matter Detection
Apparatus and method for detecting matter and microorganisms
U.S. application 18/141,374 and international application PCT/US2023/020501. Learn more at UMMDA.ai ↗.
Patent applications are pending. References on this website are informational and do not represent a guarantee of patent issuance, regulatory approval, clinical performance or commercial results. Medical and detection applications require appropriate validation and compliance with applicable laws and regulations.
Contact DeTection Inc.
Technology, licensing and collaboration inquiries.
For worldwide licensing, technology collaboration, research, educational or municipal inquiries, contact DeTection Inc.