Gregory T. Byrd
1 indexed paper
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126
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Quantum Physics×1AI×1
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2026
Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework
The paper introduces QADR, a novel hybrid quantum-classical framework that efficiently trains variational quantum circuits by localizing entanglement reduction, thereby overcoming the exponential memory and barren plateau limitations of global quantum models.
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