Next-generation quantum computing (QC) systems, comprising thousands of qubits, are
envisioned to accommodate the quantum substrate (qubits) and classical components …

Spiking neural network (SNN) has emerged as the most biologically accurate approach for
information encoding in neuromorphic computing. Cryogenic neuromorphic hardware …

Cryogenic compute in-memory (CiM) is a promising alternative to room temperature von-
Neumann technologies since cryogenic electronics can provide high speed and energy …

The recent progress in quantum computing and space exploration led to a surge in interest
in cryogenic electronics. Superconducting devices such as Josephson junction, Josephson …

The relentless pursuit of miniaturization and performance enhancement in electronic
devices has led to a fundamental challenge in the field of circuit design and simulation-how …

Cryogenic memory technologies are garnering attention due to their natural synergy with
quantum-computing systems, space applications, and ultra-fast superconducting …

Energy-efficient sense amplifier (SA) circuits are essential for reliable detection of stored
memory states in emerging memory systems. In this work, we present four novel sense …

Electronic devices can no longer afford dimensional downscaling due to the fundamental
physical limit which motivates device researchers to look for a completely new technological …

Superconducting electronics have garnered significant attention recently due to their
exceptional speed and energy efficiency. They play a vital role in scaling quantum …

Superconducting electronics are among the most promising alternatives to conventional
CMOS technology thanks to the ultra-fast speed and ultra-high energy efficiency of the …