Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

IEEE Transactions on Applied Superconductivity

Influence of Magnetic Flux Trapped in Moats on Superconducting Integrated Circuit Operation

Yuki Yamanashi, Hibiki Imai, Nobuyuki Yoshikawa

Published May 18, 2018• 6 citations
Publisher

Abstract

The influence of a trapped flux quantum in a superconducting ground plane hole, called a moat, on superconducting circuit operation was analyzed. We devised a calculation model to estimate the magnetic flux threading a signal line of a superconducting integrated circuit by the trapped flux quantum in a moat placed near the signal line, by using a conventional inductance extraction tool. Assuming one flux quantum trapped in the moat, the dependence of the magnetic flux threading the signal line on the distance between the moat and the signal line were calculated. We measured the flux linkage by measuring the modulation of the I-V characteristic of a dc-SQUID with a moat near the SQUID implemented by using the 2.5 kA/cm2Nb standard process. The measured flux linkage agrees well with the analysis results using the devised calculation model. When the distance between the 1 μm × 10 μm moat and the SQUID, the signal line size of which corresponds to the typical inductance of an adiabatic flux quantum parametron (AQFP) is 1 μm and one flux quantum is trapped in the moat, the measured magnetic flux linkage threads the signal line was approximately 1.2% of the flux quantum. This flux linkage induces approximately 4% deterioration of the device margin of the AQFP. The devised calculation model and experimental results provide useful information for designing highly integrated future superconducting integrated circuits.

DOI
10.1109/tasc.2018.2836971

Related papers

Flux trapping experiments to verify simulation models

Kyle Jackman, Coenrad Johann Fourie

Abstract Flux trapping in superconducting integrated circuits cause circuits to operate with reduced margins, or to fail completely. Moats are used in superconducting ground planes to create low energy locations for flux trapping. Moat design and placement strategies have been presented before, and several experiments published to evaluate moat efficiency. Although fluxons can be steered to moats to prevent trapping in or near Josephson junctions or inductive interconnects, the flux in a moat couples to nearby structures and induces dc currents in superconducting loops. In this paper, we discuss a set of numerical simulation tools for flux trapping analysis, developed under the IARPA SuperTools project. These tools are used to extract compact models for magnetic flux trapped in moats, including the magnetic coupling to superconducting structures. An open-source superconducting transient simulation engine, called JoSIM, is used to simulate these compact models. To evaluate the magnetic coupling of different moat configurations, we developed a set of a flux linkage experiments. Test structures were designed for the multi-layer MIT Lincoln Laboratory SFQ5ee process that allow for flux insertion into moats of different configurations. From experimental results we measure the effects of trapped flux, in different moat structures, on SQUID parameters and use the results to validate the compact models used by our tools.

Superconductor Science and Technology•Jul 20, 2020•14 citations

Extraction and Simulation of the Impact of Flux Trapping in Moats on AC-Biased Shift Registers

Scott Meninger, Sergey K. Tolpygo

Moats in superconducting ground planes are used to trap magnetic flux away from sensitive parts of superconductor integrated circuits. We simulate the effect of magnetic flux trapped in moats on the operating margins of ac-biased SFQ shift registers (ShReg) with two ground planes for various congruent moat geometries, moat sizes, locations in the ShReg cells, number and polarity of the trapped fluxons. Using inductance extractor InductEx, we extract mutual couplings between the moats and the ShReg inductors and include them in the refined netlist. Then we use JoSim to simulate the circuit operation and find the threshold ac clock amplitude above which the register starts to operate correctly. The relative change in this threshold is used to characterize the influence of flux trapping on the circuit operation. Monte-Carlo simulations are used to investigate the effect of the circuit parameter variations on the statistics of the threshold, using the standard deviation of the Josephson junction critical current and of the circuit inductance extracted from the fabrication process control monitors. The obtained distributions are compared with the independently measured distributions of the threshold amplitude for the individual cells of an ac-biased shift registers with 108,500 Josephson junctions. The results show that flux trapping in properly designed moats has a very small effect on the operation margins of the large-scale shift registers, whereas the main contribution to the cell-to-cell variation of the threshold comes from the variation of the junctions’ critical currents.

IEEE Transactions on Applied Superconductivity•Jan 15, 2025•2 citations

Extraction and Simulation of the Impact of Flux Trapping in Moats of AC-Biased Shift Registers

Scott Meninger, Sergey K. Tolpygo

Moats in superconducting ground planes are used to trap magnetic flux away from sensitive parts of superconductor integrated circuits. We simulate the effect of magnetic flux trapped in moats on the operating margins of ac-biased SFQ shift registers (ShReg) with two ground planes for various congruent moat geometries, moat sizes, locations in the ShReg cells, number and polarity of the trapped of fluxons. Using inductance extractor InductEx, we extract mutual couplings between the moats and the ShReg inductors and include them in the refined netlist. Then, we use JoSim to simulate the circuit operation and find the threshold ac clock amplitude above which the register starts to operate correctly. The relative change in this threshold is used to characterize the influence of flux trapping on the circuit operation. Monte-Carlo simulations are used to investigate the effect of the circuit parameter variations on the statistics of the threshold, using the standard deviation of the Josephson junction critical current and of the circuit inductance extracted from the fabrication process control monitors. The obtained distributions are compared with the independently measured distributions of the threshold amplitude for the individual cells of ac-biased shift registers with 108,500 Josephson junctions. The results show that flux trapping in properly designed moats have a very small effect on the operation margins of the large-scale shift registers whereas the main contribution to the cell-to-cell variation of the threshold comes from the variation of the junctions' critical currents.

arXiv:2411.02749•Nov 5, 2024•0 citations

Characterization of Adiabatic Quantum-Flux-Parametrons in the MIT LL SFQ5ee+ Process

Sergey K. Tolpygo, Evan B. Golden, Christopher Lawrence Ayala +4 more

Adiabatic quantum-flux-parametron (AQFP) superconductor logic is a proven energy-efficient digital technology for various applications. To address the scalability challenges of this technology, we investigated AQFP shift registers with the AQFP footprint area reduced by 25% with respect to prior work and with the >2× denser overall circuit designs obtained by eliminating the previously used free space between the AQFPs. We also investigated AQFP cells with different designs of flux trapping moats in the superconducting ground plane as well as compact AQFP cells that took advantage of the smaller feature sizes available in the new fabrication process, SFQ5ee+, at MIT Lincoln Laboratory (MIT LL). This new process features nine planarized Nb layers with a 0.25 μm minimum linewidth. The fabricated circuits were tested in a liquid He immersion probe and a commercial closed-cycle cryocooler using a controlled cooling rate through the superconducting critical temperature,Tc. Using multiple thermal cycles, we investigated flux trapping in the dense AQFP shift registers as well as in the registers using the old (sparse) AQFP designs at two levels of the residual magnetic field, about 0.53 μT and about 1.2 μT. The sparse designs demonstrated 95% to almost 100% probability of operation after the cooldown and very wide operation margins, although the flux trapping probability was increasing with circuit complexities. The margins were similarly wide in the newer dense designs, but flux trapping probability that rendered the registers nonoperational was significantly, by an order of magnitude, higher in these denser circuits and was also very sensitive to the moats' shape and location. Our findings indicate that AQFP circuits are amendable to increasing the scale of integration and further densification, but a careful moat design and optimization are required to reduce flux trapping effects in the dense AQFP circuits.

arXiv:2411.04045•IEEE Transactions on Applied Superconductivity•Jan 6, 2025•6 citations

Moat-guarded Josephson SQUIDs

Stuart Bermon, Tushar R. Gheewala

We report experimental investigations of a simple structure, called a moat, which significantly reduces the probability of flux-trapping in Josephson SQUIDs. Proper operation of Josephson logic and memory circuits requires that the SQUIDs be free of stray magnetic flux that may become trapped in the superconducting groundplane upon cooling through the critical temperature. The problem is particularly severe for so-called holey SQUIDs which rely on holes in the groundplane to obtain suitably large device inductances. Moats are rectangular channels in the groundplane surrounding the SQUID's which provide preferred sites for trapping flux, thus preventing such flux from coupling to the SQUID. We have measured the effectiveness of moats by monitoring the flux trapped in the moats and comparing it to the flux trapped in the associated SQUID as a function of applied field. The number of flux quanta in the moat is determined by measuring the shift of the threshold curve of a two-junction SQUID coupled to the moat. The data indicates that at fields on the order of a mG, moats reduce the sensitivity of holey SQUIDs to trapped flux by at least several orders of magnitude. As the chips are cooled through Tc, transient magnetic fields are produced in the metallic sample holder parts surrounding the chip by thermal-gradient-induced EMF's. The effects of such magnetic fields on the flux trapping behaviour of the SQUIDs are also reported.

IEEE Transactions on Magnetics•May 1, 1983•65 citations

Investigation of the flux state in single-flux-quantum circuits with moats by scanning SQUID microscope

Koji A. O. Suzuki, Hiroki Kawamura, Michitaka Maruyama +10 more

We have investigated the flux state in high- and low- T c SFQ circuits having superconducting ground planes with moats by a scanning SQUID microscope (SSM) system. Observation of YBa 2 Cu 3 O y (YBCO) sampler circuits having superconducting ground planes with 5 µm-wide moats confirmed that magnetic flux was excluded from the moat-surrounded area including ramp-edge Josephson junctions. The threshold value for complete flux exclusion was about 0.8 µT slightly depending on chips, which can be achieved readily with dual μ-metal magnetic shielding. Moreover, we have observed the flux state in Nb multilayer structures having a superconducting ground plane with 4 µm wide moats, which was designed and fabricated using the CONNECT cell library. It was confirmed that magnetic flux was trapped selectively into moats with appropriate configuration, which were fabricated within each 40 µm × 40 µm unit cell.

Superconductor Science and Technology•Mar 16, 2006•5 citations
The influence of a trapped flux quantum in a superconducting ground plane hole, called a moat, on superconducting circuit operation was analyzed. We devised a calculation model to estimate the magnetic flux threading a signal line of a superconducting integrated circuit by the trapped flux quantum in a moat placed near the signal line, by using a conventional inductance extraction tool. Assuming one flux quantum trapped in the moat, the dependence of the magnetic flux threading the signal line on the distance between the moat and the signal line were calculated. We measured the flux linkage by measuring the modulation of the I-V characteristic of a dc-SQUID with a moat near the SQUID implemented by using the 2.5 kA/cm2Nb standard process. The measured flux linkage agrees well with the analysis results using the devised calculation model. When the distance between the 1 μm × 10 μm moat and the SQUID, the signal line size of which corresponds to the typical inductance of an adiabatic flux quantum parametron (AQFP) is 1 μm and one flux quantum is trapped in the moat, the measured magnetic flux linkage threads the signal line was approximately 1.2% of the flux quantum. This flux linkage induces approximately 4% deterioration of the device margin of the AQFP. The devised calculation model and experimental results provide useful information for designing highly integrated future superconducting integrated circuits.
Abstract Flux trapping in superconducting integrated circuits cause circuits to operate with reduced margins, or to fail completely. Moats are used in superconducting ground planes to create low energy locations for flux trapping. Moat design and placement strategies have been presented before, and several experiments published to evaluate moat efficiency. Although fluxons can be steered to moats to prevent trapping in or near Josephson junctions or inductive interconnects, the flux in a moat couples to nearby structures and induces dc currents in superconducting loops. In this paper, we discuss a set of numerical simulation tools for flux trapping analysis, developed under the IARPA SuperTools project. These tools are used to extract compact models for magnetic flux trapped in moats, including the magnetic coupling to superconducting structures. An open-source superconducting transient simulation engine, called JoSIM, is used to simulate these compact models. To evaluate the magnetic coupling of different moat configurations, we developed a set of a flux linkage experiments. Test structures were designed for the multi-layer MIT Lincoln Laboratory SFQ5ee process that allow for flux insertion into moats of different configurations. From experimental results we measure the effects of trapped flux, in different moat structures, on SQUID parameters and use the results to validate the compact models used by our tools.
Moats in superconducting ground planes are used to trap magnetic flux away from sensitive parts of superconductor integrated circuits. We simulate the effect of magnetic flux trapped in moats on the operating margins of ac-biased SFQ shift registers (ShReg) with two ground planes for various congruent moat geometries, moat sizes, locations in the ShReg cells, number and polarity of the trapped fluxons. Using inductance extractor InductEx, we extract mutual couplings between the moats and the ShReg inductors and include them in the refined netlist. Then we use JoSim to simulate the circuit operation and find the threshold ac clock amplitude above which the register starts to operate correctly. The relative change in this threshold is used to characterize the influence of flux trapping on the circuit operation. Monte-Carlo simulations are used to investigate the effect of the circuit parameter variations on the statistics of the threshold, using the standard deviation of the Josephson junction critical current and of the circuit inductance extracted from the fabrication process control monitors. The obtained distributions are compared with the independently measured distributions of the threshold amplitude for the individual cells of an ac-biased shift registers with 108,500 Josephson junctions. The results show that flux trapping in properly designed moats has a very small effect on the operation margins of the large-scale shift registers, whereas the main contribution to the cell-to-cell variation of the threshold comes from the variation of the junctions’ critical currents.
Moats in superconducting ground planes are used to trap magnetic flux away from sensitive parts of superconductor integrated circuits. We simulate the effect of magnetic flux trapped in moats on the operating margins of ac-biased SFQ shift registers (ShReg) with two ground planes for various congruent moat geometries, moat sizes, locations in the ShReg cells, number and polarity of the trapped of fluxons. Using inductance extractor InductEx, we extract mutual couplings between the moats and the ShReg inductors and include them in the refined netlist. Then, we use JoSim to simulate the circuit operation and find the threshold ac clock amplitude above which the register starts to operate correctly. The relative change in this threshold is used to characterize the influence of flux trapping on the circuit operation. Monte-Carlo simulations are used to investigate the effect of the circuit parameter variations on the statistics of the threshold, using the standard deviation of the Josephson junction critical current and of the circuit inductance extracted from the fabrication process control monitors. The obtained distributions are compared with the independently measured distributions of the threshold amplitude for the individual cells of ac-biased shift registers with 108,500 Josephson junctions. The results show that flux trapping in properly designed moats have a very small effect on the operation margins of the large-scale shift registers whereas the main contribution to the cell-to-cell variation of the threshold comes from the variation of the junctions' critical currents.
Adiabatic quantum-flux-parametron (AQFP) superconductor logic is a proven energy-efficient digital technology for various applications. To address the scalability challenges of this technology, we investigated AQFP shift registers with the AQFP footprint area reduced by 25% with respect to prior work and with the >2× denser overall circuit designs obtained by eliminating the previously used free space between the AQFPs. We also investigated AQFP cells with different designs of flux trapping moats in the superconducting ground plane as well as compact AQFP cells that took advantage of the smaller feature sizes available in the new fabrication process, SFQ5ee+, at MIT Lincoln Laboratory (MIT LL). This new process features nine planarized Nb layers with a 0.25 μm minimum linewidth. The fabricated circuits were tested in a liquid He immersion probe and a commercial closed-cycle cryocooler using a controlled cooling rate through the superconducting critical temperature,Tc. Using multiple thermal cycles, we investigated flux trapping in the dense AQFP shift registers as well as in the registers using the old (sparse) AQFP designs at two levels of the residual magnetic field, about 0.53 μT and about 1.2 μT. The sparse designs demonstrated 95% to almost 100% probability of operation after the cooldown and very wide operation margins, although the flux trapping probability was increasing with circuit complexities. The margins were similarly wide in the newer dense designs, but flux trapping probability that rendered the registers nonoperational was significantly, by an order of magnitude, higher in these denser circuits and was also very sensitive to the moats' shape and location. Our findings indicate that AQFP circuits are amendable to increasing the scale of integration and further densification, but a careful moat design and optimization are required to reduce flux trapping effects in the dense AQFP circuits.
We report experimental investigations of a simple structure, called a moat, which significantly reduces the probability of flux-trapping in Josephson SQUIDs. Proper operation of Josephson logic and memory circuits requires that the SQUIDs be free of stray magnetic flux that may become trapped in the superconducting groundplane upon cooling through the critical temperature. The problem is particularly severe for so-called holey SQUIDs which rely on holes in the groundplane to obtain suitably large device inductances. Moats are rectangular channels in the groundplane surrounding the SQUID's which provide preferred sites for trapping flux, thus preventing such flux from coupling to the SQUID. We have measured the effectiveness of moats by monitoring the flux trapped in the moats and comparing it to the flux trapped in the associated SQUID as a function of applied field. The number of flux quanta in the moat is determined by measuring the shift of the threshold curve of a two-junction SQUID coupled to the moat. The data indicates that at fields on the order of a mG, moats reduce the sensitivity of holey SQUIDs to trapped flux by at least several orders of magnitude. As the chips are cooled through Tc, transient magnetic fields are produced in the metallic sample holder parts surrounding the chip by thermal-gradient-induced EMF's. The effects of such magnetic fields on the flux trapping behaviour of the SQUIDs are also reported.
We have investigated the flux state in high- and low- T c SFQ circuits having superconducting ground planes with moats by a scanning SQUID microscope (SSM) system. Observation of YBa 2 Cu 3 O y (YBCO) sampler circuits having superconducting ground planes with 5 µm-wide moats confirmed that magnetic flux was excluded from the moat-surrounded area including ramp-edge Josephson junctions. The threshold value for complete flux exclusion was about 0.8 µT slightly depending on chips, which can be achieved readily with dual μ-metal magnetic shielding. Moreover, we have observed the flux state in Nb multilayer structures having a superconducting ground plane with 4 µm wide moats, which was designed and fabricated using the CONNECT cell library. It was confirmed that magnetic flux was trapped selectively into moats with appropriate configuration, which were fabricated within each 40 µm × 40 µm unit cell.