Abstract: Technology to provide event-based image generation includes generating, using event-based simulation, asynchronous spatio-temporal data based on input data, the input data representing information for a scene or an environment to be rendered, converting the asynchronous spatio-temporal data to complex wave data, and generating, via a neural network, one or more images based on the asynchronous spatio-temporal data and the complex wave data, wherein the neural network is trained to generate high-resolution images.

Abstract: Technology to map classical data into quantum bits includes generating a set of complex feature vectors based upon a set of classical digital data; converting the complex feature vectors to a complex wave via wave expansion, the complex wave providing a feature representation in a transformed domain, and generating quantum vectors based on the complex wave, wherein the quantum vectors are to be submitted to a quantum computing device. Generating a set of complex feature vectors can include selecting a sequence of data points from the classical digital data and transforming the sequence of data points into a frequency domain. Generating quantum vectors can include determining vector coordinates for each of the quantum vectors. Each of the quantum vectors can be defined by a respective pair of parameters, where submitting the quantum vectors to a quantum computing device includes submitting each respective pair of parameters to the quantum computing device.