John Rozen
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View article: Teleportation and Entanglement Swapping of Continuous Quantum Variables of Microwave Radiation
Teleportation and Entanglement Swapping of Continuous Quantum Variables of Microwave Radiation Open
Quantum communication is needed to build powerful quantum computers and establish reliable quantum networks. At its basis lies the ability to generate and distribute entanglement to separate quantum systems, which can be used to run remote…
View article: Teleportation and Entanglement Swapping of Continuous Quantum Variables of Microwave Radiation
Teleportation and Entanglement Swapping of Continuous Quantum Variables of Microwave Radiation Open
Quantum communication is needed to build powerful quantum computers and establish reliable quantum networks. At its basis lies the ability to generate and distribute entanglement to separate quantum systems, which can be used to run remote…
View article: Neural Network Training With Asymmetric Crosspoint Elements
Neural Network Training With Asymmetric Crosspoint Elements Open
Analog crossbar arrays comprising programmable non-volatile resistors are under intense investigation for acceleration of deep neural network training. However, the ubiquitous asymmetric conductance modulation of practical resistive device…
View article: Neural Network Training with Asymmetric Crosspoint Elements
Neural Network Training with Asymmetric Crosspoint Elements Open
Analog crossbar arrays comprising programmable nonvolatile resistors are under intense investigation for acceleration of deep neural network training. However, the ubiquitous asymmetric conductance modulation of practical resistive devices…
View article: Opportunities of in situ TEM for measuring voltage-driven microstructural changes in memristive devices
Opportunities of in situ TEM for measuring voltage-driven microstructural changes in memristive devices Open
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View article: Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays
Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays Open
A resistive memory device-based computing architecture is one of the promising platforms for energy-efficient Deep Neural Network (DNN) training accelerators. The key technical challenge in realizing such accelerators is to accumulate the …