Brandon Shen

Gradient usability in few-qubit quantum Neural Networks: A signal-to-noise ratio framework for evaluating mitigation strategies

This review examines ansatz-design and complementary mitigation strategies for few-qubit QNNs under finite-shot noisy intermediate-scale quantum (NISQ) constraints and proposes a complete eight-configuration factorial framework for evaluating interactions among restricted entanglement, local cost functions, and active...