Hybrid Computing
Quantum + classical algorithms
Hybrid architectures can use classical and quantum resources together, with algorithms directing decisions, data analysis and physical systems.
Granted Patents & Pending Patent Applications | Hybrid Quantum + Classical Algorithms • Autonomous Robotics
Self-directed robots & drones for Matter Intelligence across industries.
What We Mean by Matter
Matter is anything that has mass and occupies space. At DeTection Inc., “matter” refers to physical substances and materials—including solids, liquids, gases, and biological materials.
Our Matter Intelligence technology is being developed to detect, characterize, and organize observations of physical matter into structured, machine-usable information.
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.
Environmental • Agriculture & Greenhouses • Food Processing • Medical
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. Environmental applications include the development of automated systems for detecting and characterizing toxins, contaminants, and other potentially hazardous matter in air, water, and soil using UMMDA technology.
Matter Vectors and Predictive Intelligence
DeTection Inc. is developing a proprietary database of Matter Vectors—structured representations of clusters of physical matter and their measurable characteristics, associations, locations, and movement over time. By identifying patterns, tracking where matter originates and how it moves, the system is being designed to support forecasting of potential future events and environmental changes.
Beyond detection and forecasting, DeTection Inc. is developing biosurfactant-based technologies intended to help eliminate a range of environmental contaminants and biological threats in both indoor and outdoor environments.
Autonomous Mobility & Biological Motility
Robotic movement and biological behavior
Autonomous mobility enables drones and robots to support sensing, inspection, material collection, monitoring and selected automated procedures. Separately, the observation and analysis of motility in biological matter may help characterize movement patterns, behavior and changes over time, subject to validation.
Flexible Deployment — Autonomous or User-Operated
DeTection Inc.'s Matter Intelligence architecture is being developed to support autonomous robotic and drone-based systems, fixed sensing installations, and manually operated applications. This flexibility allows users to select an acquisition method appropriate to their environment, operational requirements, and available resources, while using a common framework for matter characterization and data analysis.
Automated Sampling & Data Integrity
Traditional manual sampling can introduce additional handling and opportunities for contamination or inconsistency. DeTection Inc. is developing drone- and robot-based sampling methods designed to reduce unnecessary handling, minimize contamination risks, and preserve sample integrity. More consistent, higher-quality observations are intended to strengthen the Matter Vectors database and support more reliable analysis and forecasting.
Better sample integrity. Better data quality. Better Matter Intelligence.
Matter Detection
User-Configurable Detection Precision
UMMDA is being developed to identify targeted substances, microorganisms and abnormal cells in applicable environments. The apparatus is designed to let users adjust detection sensitivity, resolution and analysis parameters to suit application needs, with trade-offs in processing time and operational requirements. Actual accuracy and performance depend on validation and operating conditions.
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.
Intellectual Property · U.S. and International Filings
Two patent families. Two USPTO applications. Two WIPO applications.
DeTection Inc.'s intellectual property portfolio includes granted patents and pending patent applications covering aspects of its technology. Individual patent grants and applications should be verified against the patent docket; publication of an application does not itself mean a patent has been granted.
01 · Matter Detection & Microorganisms
Apparatus and Method for Detecting Matter and Micro-Organisms
USPTO Application 18/141,374
Published as US 2023/0375583 A1 ↗
WIPO Application PCT/US2023/020501
Published as WO 2023/224791 A1 ↗
02 · Autonomous Quantum Robotics
Robots Self-Directed by Quantum Computing and Classical Algorithms for Autonomous Physical Procedures
USPTO Application 19/532,226
U.S. application filed; described by the company as not yet published.
WIPO Application PCT/US2026/014456
Published as WO 2026/198182 A1 ↗
Application numbers and publication status should be reconciled with the patent docket before public deployment. Patent applications are not representations of issued patents or validated product performance.
Real media · Four distinct videos
Technology demonstrations & company films
Two rebranded concept animations, followed by actual liquid-system and AI microscopy prototype recordings. Historical branding may be visible in original footage.
Concept animation
DeTection Matter Intelligence — Outsmarting Pathogens
Video 1 of 4 · Original video included for local playback.
Concept animation
UMMDA — From Airborne Matter to Actionable Intelligence
Video 2 of 4 · Original video included for local playback.
Historical prototype demonstration
Liquid System — Physical Prototype
Video 3 of 4 · Original video included for local playback.
Experimental software recording
AI-Assisted Microscopy — Prototype Interface
Video 4 of 4 · Original video included for local playback.
Photographs & video stills
These four thumbnails are frames extracted from the four supplied videos. Original field and laboratory photographs can be added when supplied.
Recorded interfaces and demonstrations do not establish independently validated organism identification, autonomous field deployment or treatment efficacy.
Corporate History & Intellectual Property
A continuing research and development legacy
The inventor and founder transferred all intellectual property (IP) and trade secrets to DeTection Inc. Research and development previously conducted through predecessor companies, including DE3 Inc., was also transferred to DeTection Inc.
DeTection Inc. is the current corporate entity responsible for continued development, protection, commercialization and licensing of the technology.
The company maintains proprietary know-how, confidential research methods and trade secrets. This public presentation does not disclose protected details.
Contact DeTection Inc.
Technology, licensing and collaboration inquiries.
For worldwide licensing, technology collaboration, research, educational or municipal inquiries, contact DeTection Inc.