RECONFIGURABLE SUPERCONDUTING AND PHOTONIC TECHNOLOGIES OF THE FUTURE

Introduction

Computing with light using integrated optics has seen huge progress over the last 3-4 years in multiple fields such as neuromorphic computing, quantum computing, and on-chip data storage. This has created a vast ecosystem that relies on high-speed reconfigurations of nanophotonic circuits (such as their use as synapses or routing applications) and ultrafast yet high-resolution, low-power photodetection.

Current Limitations

Currently, it is impossible to combine all these functionalities into an integrated platform that fits onto a single chip.

Project Overview

In RESPITE, by utilizing our newly invented superconducting Joule switches as neurons, multi-level phase change memory elements as synaptic weights, and superconducting single-photon detector arrays as retina, we will demonstrate a novel platform which combines vision and cognition on a single chip.

Performance Features

This new platform will allow in-sensor neuromorphic computing with unprecedented performance levels. The platform will have:

• AttoJoule switching power consumption
• Sub-nanosecond latency
• High compactness (3000 neurons and >100K synapses on <5 mm²)

Advantages

Unlike other superconducting neuromorphic technologies, our new platform will be:

1. Scalable
2. Easy to fabricate
3. Compatible with low-cost cryostats
4. Compatible with high-Tc superconductors
5. Suitable for quantum applications
6. Applicable for on-chip learning architectures

This makes it a game changer for a wide range of users and disciplines.