Qilimanjaro Quantum Tech
Description
Focuses on analog quantum computing, aiming to bridge the gap between classical AI and quantum machine learning.
Features
Key Capabilities: Develops hybrid quantum-classical AI algorithms for improved data analysis and optimization.
Use Cases: Applies quantum computing to AI-driven drug discovery, logistics optimization, and smart energy systems.
Use Cases: Applies quantum computing to AI-driven drug discovery, logistics optimization, and smart energy systems.
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