2023IEEE Transactions on Applied SuperconductivityRequires access

Timing Regulation Scheme for RSFQ Circuit

Jia Li, Jie Ren, Jie Jin, Shucheng Yang, Minghui Niu, Liliang Ying, Xiaoping Gao, Siqi Li, Wei Yan

Open publisher page 4 citations

Abstract

Rapid single-flux-quantum (RSFQ) circuit requires an accurate timing scheme to maintain correct function, especially under a very high clock frequency. However, the reported timing regulation schemes have issues, including the bias margin of the circuit being small and the bias margin decrement caused by imprecise timing constraints. This article proposes a new timing regulation scheme based on clock-follow-data clocking that can solve the problems. The scheme uses the unique structure of the RSFQ circuit to eliminate the impact caused by different timing libraries and extend the biasing margin. The simulation results of the XOR gate under various timing regulation schemes demonstrated that the proposed scheme could obtain the maximum static timing analysis (STA) bias margin. Also, the STA bias margin of the 4-b parallel arithmetic logic unit (ALU) designed using the timing regulation scheme proposed in this article was increased by 5%, the PSCAN2 bias margin was increased by 7.4%, and 36 ps reduced latency. The ALU fabricated using the “SIMIT Nb03” process was successfully measured with correct operation at low frequency. It showed this scheme could provide accurate timing constraints range and enhances circuit bias margin.

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What this paper is about

Rapid single-flux-quantum (RSFQ) circuit requires an accurate timing scheme to maintain correct function, especially under a very high clock frequency. However, the reported timing regulation schemes have issues, including the bias margin of the circuit being small and the bias margin decrement caused by imprecise timing constraints. This article proposes a new timing regulation scheme based on clock-follow-data clocking that can solve the problems. The scheme uses the unique structure of the RSFQ circuit to eliminate the impact caused by different timing libraries and extend the biasing margin. The simulation results of the XOR gate under various timing regulation schemes demonstrated that the proposed scheme could obtain the maximum static timing analysis (STA) bias margin. Also, the STA bias margin of the 4-b parallel arithmetic logic unit (ALU) designed using the timing regulation scheme proposed in this article was increased by 5%, the PSCAN2 bias margin was increased by 7.4%, and 36 ps reduced latency. The ALU fabricated using the “SIMIT Nb03” process was successfully measured with correct operation at low frequency. It showed this scheme could provide accurate timing constraints range and enhances circuit bias margin.

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Available abstract

Rapid single-flux-quantum (RSFQ) circuit requires an accurate timing scheme to maintain correct function, especially under a very high clock frequency. However, the reported timing regulation schemes have issues, including the bias margin of the circuit being small and the bias margin decrement caused by imprecise timing constraints. This article proposes a new timing regulation scheme based on clock-follow-data clocking that can solve the problems. The scheme uses the unique structure of the RSFQ circuit to eliminate the impact caused by different timing libraries and extend the biasing margin. The simulation results of the XOR gate under various timing regulation schemes demonstrated that the proposed scheme could obtain the maximum static timing analysis (STA) bias margin. Also, the STA bias margin of the 4-b parallel arithmetic logic unit (ALU) designed using the timing regulation scheme proposed in this article was increased by 5%, the PSCAN2 bias margin was increased by 7.4%, and 36 ps reduced latency. The ALU fabricated using the “SIMIT Nb03” process was successfully measured with correct operation at low frequency. It showed this scheme could provide accurate timing constraints range and enhances circuit bias margin.

Key concepts: Static timing analysis, Rapid single flux quantum, Margin (machine learning), Computer science, Latency (audio), Delay calculation, Biasing, Logic gate

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