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quant-ph2024
Differentiable Quantum Computing for Large-scale Linear Control
Connor Clayton, Jiaqi Leng, Gengzhi Yang +3
As industrial models and designs grow increasingly complex, the demand for optimal control of large-scale dynamical systems has significantly increased. However, traditional method…
quant-ph2024
Fast-forwarding quantum algorithms for linear dissipative differential equations
Dong An, Akwum Onwunta, Gengzhi Yang
We establish improved complexity estimates of quantum algorithms for linear dissipative ordinary differential equations (ODEs) and show that the time dependence can be fast-forward…
cs.NE2024
Toward Efficient Deep Spiking Neuron Networks:A Survey On Compression
Hui Xie, Ge Yang, Wenjuan Gao
With the rapid development of deep learning, Deep Spiking Neural Networks (DSNNs) have emerged as promising due to their unique spike event processing and asynchronous computation.…