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Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

While you're in meetings or grabbing coffee, it analyzes problems, writes solutions, and delivers working code ready for review.

The authors argue that today’s agentic AI platforms are closer to experimental infrastructure than finished products.