Neural networks have been proven and been widely used to solve many difficult computational problems. However due to the limitation of power and speed, the benefit of software implementation has been pushed to the edge. It is more obvious while developing and researching complex models with huge data sets for general purposes by leveraging both time and power consumption.

Here at WOLFZYC, we are developing neuromorphic computing solutions using superconducting electronics. The new superconducting platforms have the potential to provide extreme energy-efficiency and speed when compared to standard silicon-based CMOS technologies.