ZenaTech Creates First Quantum Computing Prototype Enabling Disruptive AI Drone Speed and Precision

INSUBCONTINENT EXCLUSIVE:
, a business technology solution provider specializing in AI drones, Drone as a Service (DaaS), Enterprise SaaS, and Quantum Computing
solutions, has announced the successful development of its first quantum computing prototype consisting of a framework for the rapid
analysis and processing of large datasets for its AI drone solutions.Using weather forecasting algorithms as part of its Clear Sky project
as a test case, the company has created a precedent framework for real time analysis of massive amounts of data that can be captured through
AI drone sensors while in the air.The Company envisions commercial applications ranging from highly efficient precision agriculture to
predictive energy infrastructure inspections
Defense applications include enhancing real-time battlefield decision-making with faster and more precise threat detection, reconnaissance,
We plan to keep expanding R&D capabilities, with the goal of growing our team of 6 to 25 over the coming months
AI drones and drone fleets plus quantum to better predict localized weather for more accurate prediction of extreme weather events saving
lives and reducing costs and destruction
The weather application and algorithms used for the prototype track and analyze multiple key atmospheric parameters such as temperature,
humidity, wind, barometric pressure, and precipitation
Internal testing using historical open-source data has shown a high degree of accuracy with trusted weather platforms and actual data,
validating both its accuracy and reliability.Quantum computing combined with AI-powered drone applications enables disruptive speed,
precision, and autonomy by dramatically accelerating data analysis, optimizing complex decisions, and enhancing real-time responsiveness
In commercial sectors, this means drones can autonomously inspect vast energy grids or farmland, instantly analyze multispectral data, and
capabilities empower autonomous surveillance drones to process sensor data and identify threats in real time, coordinate swarm or drone
possible across industries.For weather forecasting, quantum computing can rapidly process and simulate complex atmospheric models by
analyzing massive datasets from AI-enabled drones equipped with weather sensors, LiDAR, and imaging systems
This allows for highly accurate, real-time weather forecasting and microclimate prediction, improving response times for disaster
management, aviation safety, and environmental monitoring.Quantum computing is a next-generation computing technology that uses the
principles of quantum physics to process information exponentially faster than traditional computers, enabling it to solve highly complex
problems that are otherwise unsolvable by even the most powerful classical computers of today.Source: ZenaTech