A deep photonic QNN achieves nonlinear operations via virtual Hilbert space expansion on a linear chip with four entanglement sources, demonstrated on classification, generation, and state preparation tasks.
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A protocol generates loss-robust crossband entanglement by leveraging intraband entanglement, exceeding direct-transduction limits with performance scaling with input brightness.
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Photonic-Implemented Efficient Deep Quantum Neural Network via Virtual-Driven Hilbert Space Expansion
A deep photonic QNN achieves nonlinear operations via virtual Hilbert space expansion on a linear chip with four entanglement sources, demonstrated on classification, generation, and state preparation tasks.
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Loss-robust crossband entanglement generation beyond the direct-transduction limit
A protocol generates loss-robust crossband entanglement by leveraging intraband entanglement, exceeding direct-transduction limits with performance scaling with input brightness.