Tag: Quantum Algorithms
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AlphaCNOT: Efficient CNOT Gate Minimization via RL Planning
Discover AlphaCNOT, a model-based RL framework that reduces CNOT gate counts by up to 32%, optimizing quantum circuits for advanced quantum computing.
Machine Unlearning in Quantum Machine Learning: Key Insights
Explore empirical findings on machine unlearning in hybrid quantum-classical models, highlighting new techniques and performance factors.
Soft-Quantum Algorithms for Faster Quantum Neural Nets
Discover soft-quantum algorithms that speed up training and improve performance of quantum neural networks in machine learning.
AI-Driven Quantum Algorithms for Molecular Ground States
Discover how AI automates near-term quantum algorithm design to efficiently solve molecular ground state problems, reducing quantum resource needs.