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We show a novel method for controlling the coupling of flux-based qubits by means of a superconducting transformer with variable flux transfer function. The device is realized by inserting a small hysteretic dc SQUID with unshunted…

Superconductivity · Physics 2007-05-23 C. Cosmelli , M. G. Castellano , F. Chiarello , R. Leoni , D. Simeone , G. Torrioli , P. Carelli

Usually, the superconducting quantum interference device (SQUID) consists of two Josephson junctions and the interference therein is modulated by a magnetic flux. In this work, we propose an electrically modulated SQUID consisting of single…

Superconductivity · Physics 2018-01-31 Yong Xu , Salah Uddin , Jun Wang , Zhongshui Ma , Jun-Feng Liu

We have investigated the flux transfer characteristics of a switchable flux transformer comprising a superconducting loop and a DC superconducting quantum interference device (DC-SQUID). This system can be used to couple multiple flux…

Superconductivity · Physics 2007-05-23 Y. Shimazu , T. Niizeki

We study theoretically the efficiency of an asymmetric superconducting quantum interference device (SQUID) which is constructed as a loop with three capacitively and resistively shunted Josephson junctions. Two junctions are placed in…

Statistical Mechanics · Physics 2021-04-27 J. Spiechowicz , J. Łuczka

Single-molecule memory device based on a single-molecule magnet (SMM) is one of the ultimate goals of semiconductor nanofabrication technologies. Here, we study how to manipulate and readout the SMM's two spin-state of stored information…

Mesoscale and Nanoscale Physics · Physics 2021-12-28 Hai-Bin Xue , Jiu-Qing Liang , Wu-Ming Liu

We propose a scheme for the realization of artificial neural networks based on Superconducting Quantum Interference Devices (SQUIDs). In order to demonstrate the operation of this scheme we designed and successfully tested a small network…

Superconductivity · Physics 2013-10-22 F. Chiarello , P. Carelli , M. G. Castellano , G. Torrioli

Memory devices operating due to the fast proton transfer (PT) process are proposed by means of the first-principles calculations. Writing an information is performed using the electrostatic potential of the scanning tunneling microscopy…

Mesoscale and Nanoscale Physics · Physics 2015-11-26 Malgorzata Wierzbowska

Brain-inspired spiking neural networks (SNNs) have gained prominence in the field of neuromorphic computing owing to their low energy consumption during feedforward inference on neuromorphic hardware. However, it remains an open challenge…

Neural and Evolutionary Computing · Computer Science 2024-03-04 Wenjie Wei , Malu Zhang , Jilin Zhang , Ammar Belatreche , Jibin Wu , Zijing Xu , Xuerui Qiu , Hong Chen , Yang Yang , Haizhou Li

We introduce a near-term experimental platform for realizing an associative memory. It can simultaneously store many memories by using spinful bosons coupled to a degenerate multimode optical cavity. The associative memory is realized by a…

Massive mechanical resonators operating at the quantum scale can enable a large variety of applications in quantum technologies, as well as fundamental tests of quantum theory. Of crucial importance in that direction, is both their…

Quantum Physics · Physics 2019-12-04 Marios Kounalakis , Yaroslav M. Blanter , Gary A. Steele

Achieving brain-like density and performance in neuromorphic computers necessitates scaling down the size of nanodevices emulating neuro-synaptic functionalities. However, scaling nanodevices results in reduction of programming resolution…

Emerging Technologies · Computer Science 2023-03-14 A N M Nafiul Islam , Arnob Saha , Zhouhang Jiang , Kai Ni , Abhronil Sengupta

We investigate the transient dynamics of a lumped-element oscillator based on a dc superconducting quantum interference device (SQUID). The SQUID is shunted with a capacitor forming a nonlinear oscillator with resonance frequency in the…

Superconductivity · Physics 2016-02-16 P. Bhupathi , Peter Groszkowski , M. P. DeFeo , Matthew Ware , Frank K. Wilhelm , B. L. T. Plourde

Magnetic skyrmions (MS) are particle-like spin structures with whirling configuration, which are promising candidates for spin-based memory. MS contains alluring features including remarkably high stability, ultra low driving current…

Applied Physics · Physics 2017-05-04 Mei-Chin Chen , Kaushik Roy

Superconducting QUantum Interference Device (SQUID) metamaterials are superconducting artificial media whose function relies both on their geometry and the extraordinary properties of superconductivity and the Josephson effect. Recent…

Chaotic Dynamics · Physics 2016-11-03 J. Hizanidis , N. Lazarides , G. Neofotistos , G. P. Tsironis

Airbridges are essential for creating high-performance, low-parasitic interconnects in integrated circuits and quantum devices. Conventional multi-step fabrication methods hinder miniaturization and introduce process-related defects. We…

In this paper we consider the modelling and simulation of open quantum systems from a device engineering perspective. We derive master equations at different levels of approximation for a Superconducting Quantum Interference Device (SQUID)…

Resistance switching devices are of special importance because of their application in resistive memories (RRAM) which are promising candidates for replacing current nonvolatile memories and realize storage class memories. These devices…

We propose a superconducting circuit platform for simulating spin-1 models. To this purpose we consider a chain of N ultrastrongly coupled qubit-resonator systems interacting through a grounded SQUID. The anharmonic spectrum of the…

Quantum Physics · Physics 2018-02-07 F. Albarrán-Arriagada , L. Lamata , E. Solano , G. Romero , J. C. Retamal

In this article we review the basic theoretical properties of a hybrid superconducting interferometer which exploits the phase dependence of the density of states of a metallic nanowire placed in good electric contact with a superconductor…

Mesoscale and Nanoscale Physics · Physics 2016-11-15 F. Giazotto

Magnetic skyrmions are promising candidates for logic-in-memory applications, intrinsically merging high density non-volatile data storage with computing capabilities, owing to their nanoscale size, fast motion, and mutual repulsions.…

Mesoscale and Nanoscale Physics · Physics 2022-09-07 Naveen Sisodia , Johan Pelloux-Prayer , Liliana D. Buda-Prejbeanu , Lorena Anghel , Gilles Gaudin , Olivier Boulle