PySQIF, a Statistical Analysis Tool for Bi-SQUID Magnetometers

Akgun, A; Razmkhah, Sasan

doi:10.1088/1742-6596/2323/1/012026

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…This is a recent Python-based front-end and post-processing package [75] that uses WRspice at its core. Its developers target it mainly at Bi-SQUID simulation but is applicable to any Josephson device.…”

Section: Pysqifmentioning

confidence: 99%

Modelling high- Tc electronics

Pegrum

2023

Supercond. Sci. Technol.

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This Review examines methods to model Josephson devices such as arrays of superconducting quantum interference devices (SQUIDs) and rows within two-dimensional superconducting quantum interference filters or SQIFs. The emphasis is on high temperature superconducting (HTS) devices, though the techniques apply for any operating temperature. The methods use freely-available and proven software to first extract all self and mutual inductances of the thin-film device, and then to incorporate these data, plus junction models and thermal noise sources into an equivalent circuit for Josephson simulation. The inductance extraction stage also estimates the effective areas of each loop in a structure and also the variation of inductance as temperature changes, due to the varying penetration depth. The final post-processing stage can yield current–voltage, voltage-field and field spectral density responses. The Review also touches briefly on the simulation of a simple model for a terahertz single-junction HTS mixer and also looks at the behaviour of typical hysteretic and non-hysteric HTS RF SQUIDs.

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Section: Pysqifmentioning

confidence: 99%

Modelling high- Tc electronics

Pegrum

2023

Supercond. Sci. Technol.

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Superconductor bistable vortex memory for data storage and readout

Karamuftuoglu,

Ucpinar,

Razmkhah

et al. 2024

Supercond. Sci. Technol.

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Despite superconductor electronics (SCE) advantages, the realization of SCE logic faces a significant challenge due to the absence of dense and scalable nonvolatile memory. While various nonvolatile memory technologies, including Non-destructive readout (NDRO), vortex transitional memory (VTM), and magnetic memory, have been explored, designing a dense crossbar array and achieving a superconductor random-access memory (RAM) remains challenging. This work introduces a novel, nonvolatile, high-density, and scalable vortex-based memory design for SCE logic, called bistable vortex memory. Our proposed design addresses scaling issues with an estimated area of 10 x 10 um2 while boasting zero static power with the dynamic energy consumption of 12 aJ for single-bit read and write operations. The current summation capability enables analog operations for in-memory or near-memory computational tasks. We demonstrate the efficacy of our approach with a 32 x 32 superconductor memory array operating at 20~GHz. Additionally, we showcase the accumulation property of the memory through analog simulations conducted on an 8 x 8 superconductor crossbar array.

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PySQIF, a Statistical Analysis Tool for Bi-SQUID Magnetometers

Cited by 2 publications

References 15 publications

Modelling high- Tc electronics

Modelling high- Tc electronics

Superconductor bistable vortex memory for data storage and readout

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