AR-SFQ: Asynchronous Reset Library Using {\alpha}-Cell Design

TL;DR

This paper introduces AR-SFQ, an asynchronous RSFQ cell library with {\

Contribution

It presents the {\

Findings

Demonstrates reliability through simulations.

Reduces clock network complexity.

Enables scalable high-performance circuits.

Abstract

Rapid Single Flux Quantum (RSFQ) circuits are the most evolved superconductor logic family. However, the need to clock each cell and the deep pipeline causes a complex clock network with a large skew. This results in lower throughput and high latency in RSFQ. This work introduces an asynchronous RSFQ cell library that incorporates the {\alpha}-cell, enabling bidirectional signal paths in RSFQ circuits. The {\alpha}-cell mitigates the need for a large clock network by allowing reverse signal flow, minimizing routing, and enabling compact circuit designs. We demonstrate the library's reliability and efficiency by analog simulations and using in-house optimization tools. The asynchronous reset RSFQ (AR-SFQ) will enable efficient implementation of scalable, high-performance computing frameworks, such as state machines, neuromorphic computing, and higher fan-in circuits.