A number of current approaches to quantum and neuromorphic computing use
superconductors as the basis of their platform or as a measurement component, and will …

Thermal diodes,—devices that allow heat to flow preferentially in one direction—are one of
the key tools for the implementation of solid-state thermal circuits. These would find …

A switch capable of routing microwave signals at cryogenic temperatures is a desirable
component for state-of-the-art experiments in many fields of applied physics, including but …

Neural networks have proven effective for solving many difficult computational problems, yet
implementing complex neural networks in software is computationally expensive. To explore …

Broadband, energy-efficient signal transfer between a cryogenic and room-temperature
environment has been a major bottleneck for superconducting quantum and classical logic …

As superconducting quantum processors increase in size and complexity, the scalability of
standard techniques for qubit control and readout becomes a limiting factor. Replacing room …

Superconducting optoelectronic hardware could be used to create large-scale and
computationally powerful artificial spiking neural networks. The approach combines …

Superconducting quantum circuits are among the most promising solutions for the
development of scalable quantum computers. Built with sizes that range from microns to tens …

Over the past decade, superconducting devices have risen to prominence in the arena of
quantum optics and quantum information processing. Superconducting detectors provide …

We present an exhaustive theoretical analysis of charge and thermoelectric transport in a
normal-metal–ferromagnetic-insulator–superconductor junction and explore the possibility …