12 citations · 31 across the 7 of their papers we have counts for
8 papers
Experimental Demonstration of a Superconductor SFQ-Based ADC for High-Frequency Signal Acquisition
Beyza Zeynep Ucpinar, Sasan Razmkhah, Mustafa Altay Karamuftuoglu +1
Superconducting quantum interference devices (SQUIDs) are among the most sensitive sensors, offering high precision through their well-defined flux-voltage characteristics. Buildin…
Time Domain Design of a Josephson Parametric Amplifier and Comparison with Input Output Theory
Emre Küçükyılmaz, Mehmet Ünlü, Ali Bozbey
Quantum-limited amplifiers, such as Josephson Traveling Wave Parametric Amplifiers (JTWPAs) and Josephson Parametric Amplifiers (JPAs), are essential components in quantum computer…
Efficient Superconductor Arithmetic Logic Unit for Ultra-Fast Computing
Sasan Razmkhah, Ali Bozbey
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…
Hybrid Synaptic Structure for Spiking Neural Network Realization
Sasan Razmkhah, Mustafa Altay Karamuftuoglu, Ali Bozbey
Neural networks and neuromorphic computing play pivotal roles in deep learning and machine vision. Due to their dissipative nature and inherent limitations, traditional semiconduct…
Superconductor modulation circuits for Qubit control at microwave frequencies
Sasan Razmkhah, Ali Bozbey, Pascal Febvre
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 perfor…
A Compact High Frequency Voltage Amplifier for Superconductor-Semiconductor Logic Interface
Sasan Razmkhah, Ali Bozbey, Pascal Febvre
The many advantages of cryogenically-cooled Single-Flux Quantum (SFQ) circuits imply that the high speed and low voltage output signals must be amplified and interfaced with standa…
Single Flux Quantum Based Ultrahigh Speed Spiking Neuromorphic Processor Architecture
Ali Bozbey, Mustafa Altay Karamuftuoglu, Sasan Razmkhah +1
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, i…
Current Status of the SANAEM RFQ Accelerator Beamline
G. Turemen, B. Yasatekin, S. Ogur +13
The design and production studies of the proton beamline of SPP, which aims to acquire know-how on proton accelerator technology thru development of man power and serves as particl…