AINeutralarXiv – CS AI · Mar 45/104
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QFlowNet: Fast, Diverse, and Efficient Unitary Synthesis with Generative Flow Networks
Researchers introduce QFlowNet, a novel framework combining Generative Flow Networks with Transformers to solve quantum circuit compilation challenges. The approach achieves 99.7% success rate on 3-qubit benchmarks while generating diverse, efficient quantum gate sequences, addressing key limitations of traditional reinforcement learning methods in quantum computing.