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 designed to direct automated robots and drones, combining autonomous physical procedures with rapid matter detection technologies.

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.

Hybrid Computing

Quantum + classical algorithms

Hybrid architectures can use classical and quantum resources together, with algorithms directing decisions, data analysis and physical systems.

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.

Visit UMMDA.ai ↗

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.

Municipal & institutional use

Potential field-of-use licensing for municipalities, educational institutions and other organizations seeking automated robotic detection solutions.

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.

UMMDA.ai ↗

Discuss licensing
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.
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.

View USPTO Application 19/532,226 ↗

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.

DeTection Inc.

Email
contact@detec.ai

Website
detec.ai

UMMDA
ummda.ai