Intelligent dynamic shot allocation framework for Quantum Machine Learning
Project description
ShotIQ: Intelligent Shot Allocator for Quantum Machine Learning
ShotIQ is a dynamic shot allocation framework designed to optimize quantum resources by analyzing data difficulty and hardware noise characteristics.
- Maximize Accuracy: Strategic sampling for hard samples.
- Minimize Cost: Efficient resource routing for easy samples.
- Noise-Aware: Balancing statistical variance and hardware errors.
Full documentation and source code will be released soon.
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