Quantum machine learning has the potential to provide powerful algorithms for artificial intelligence. The pursuit of quantum advantage in is an active area research. For current noisy, intermediate-scale (NISQ) computers, various quantum-classical hybrid have been proposed. One such previously proposed algorithm a gate-based variational embedding classifier, which composed classical neural net...

This work discusses an Evolvable Hardware (EHW) platform for the synthesis of analog electronic circuits. The EHW analog platform, named PAMA (Programmable Analog Multiplexer Array), is a reconfigurable platform that consists of integrated circuits whose internal connections can be programmed by Evolutionary Computation techniques, such as Genetic Algorithms, to synthesize circuits. The PAMA is...

This paper studies encoding/decoding function of artificial spiking neurons. First, we investigate basic characteristics of spiketrains of the neurons and fix parameter value that can minimize variation of spike-train length for initial value. Second we consider analog-to-digital encoding based upon spike-interval modulation that is suitable for simple and stable signal detection. Third we pres...

In a laboratory environment, the practicality and scope of experiments is often constrained by time and financial resources. In the digital hardware design arena, the development of programmable logic devices, such as field--programmable gate arrays (FPGAs), has greatly enhanced the student’s ability to design and synthesize complete systems within a short period of time and at a reasonable cos...