Ali Bozbey
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View article: Hybrid synaptic structure for spiking neural network realization
Hybrid synaptic structure for spiking neural network realization Open
Neural networks and neuromorphic computing represent fundamental paradigms as alternative approaches to Von-Neumann-based implementations, advancing in the applications of deep learning and machine vision. Nonetheless, conventional semicon…
View article: Efficient Superconductor Arithmetic Logic Unit for Ultra-Fast Computing
Efficient Superconductor Arithmetic Logic Unit for Ultra-Fast Computing Open
We present a 4-bit Arithmetic Logic Unit (ALU) utilizing superconductor technology. The ALU serves as the central processing unit of a processor, performing crucial arithmetic and logical operations. We have adopted a bit-parallel architec…
View article: Hybrid Synaptic Structure for Spiking Neural Network Realization
Hybrid Synaptic Structure for Spiking Neural Network Realization Open
Neural networks and neuromorphic computing play pivotal roles in deep learning and machine vision. Due to their dissipative nature and inherent limitations, traditional semiconductor-based circuits face challenges in realizing ultra-fast a…
View article: Superconductor modulation circuits for Qubit control at microwave frequencies
Superconductor modulation circuits for Qubit control at microwave frequencies Open
Readout and control of qubits are limiting factors in scaling quantum computers. An ideal solution is to integrate energy-efficient cryogenic circuits close to the qubits to perform control and pre-processing tasks. With orders of magnitud…
View article: [INVITED] Recent advances in the design of digital and mixed-signal superconducting circuits and sensors
[INVITED] Recent advances in the design of digital and mixed-signal superconducting circuits and sensors Open
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View article: Single Flux Quantum Based Ultrahigh Speed Spiking Neuromorphic Processor Architecture
Single Flux Quantum Based Ultrahigh Speed Spiking Neuromorphic Processor Architecture Open
Artificial neural networks inspired by brain operations can improve the possibilities of solving complex problems more efficiently. Today's computing hardware, on the other hand, is mainly based on von Neumann architecture and CMOS technol…
View article: Development of an Advanced Circuit Model for Superconducting Strip Line Detector Arrays
Development of an Advanced Circuit Model for Superconducting Strip Line Detector Arrays Open
One of the fundamental problems in many-pixel detectors implemented in cryogenics environments is the number of bias and read-out wires. If one targets a megapixel range detector, number of wires should be significantly reduced. One possib…