Krizhevsky, A., Sutskever, I. & Hinton, G. E. ImageNet classification with deep convolutional neural networks. In Proc. 26th Annual Conference on Neural Information Processing Systems (NIPS), Advances in Neural Information Processing Systems 25 (eds Pereira, F. et al.) (NeurIPS, 2012). LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444 (2015). Article Google …
An overview of our prototype chaotic circuit and nonlinear control system is shown in Fig. 1. The chaotic circuit (known as the “plant” in the control literature) consists of passive components including diodes, capacitors, resistors, and inductors, and an active negative resistor realized with an operational amplifier that can source and sink power to the rest …
Influence of CuxTe1-x compositions on the resistive switching behavior The CuxTe1-xHO memristors have different switching behaviors depending on the Cu concentration (x) in the CuxTe1-x electrode. It exhibits volatile threshold switching (TS) behavior at x = 0.1 (Cu0.1Te0.9/HfO2, Fig. 1a, Supplementary Note 1 and Supplementary Fig. 1)10,11,12,13,14, and nonvolatile resistive switching (RS) behavior at x = 0.3 and 0.6. Figure 1b displays the …
Rotman, D. Molecular computing. MIT Technology Review https://go.nature.com/3OSS3w1 (2000). Cuevas, J. C. & Scheer, E. Molecular Electronics: An Introduction to Theory and Experiment (World Scientific, 2010). Carroll, R. L. & Gorman, C. B. The genesis of molecular electronics. Angew. Chem. Int. Ed. 41, 4378–4400 (2002). Article Google Scholar Chen, J., Reed, M., Rawlett, A. & …
Resource analysis scheme As the current level of physical quantum gates has a very high error rate, techniques such as QEC code and MSD should be used to create logical qubits and logical operations with low error rates. We performed a resource analysis using the physical-level analysis method and the equation for the required resources …