Designing for Responsible Physics and Sciences with Application to Quantum Shannon Entropy: An Alternative Algorithm for Ultra Efficient Video Compression

Abstract

It is known, that many if not most less-developed and under-developed countries still find problems in relation to digital infrastructures, and probably it is quite safe to say that many countries including those in Asia are having mobile telecom network still around 3.0-4.0 G [1,2]. Therefore, in order to improve their network capacity, we consider it would be a very interesting path to consider an algorithm solution to ultra-efficient compression, in order to allow big files such as media imaging, video etc can be transmitted at the existing mobile infrastructures, instead of developing large infrastructure including cell towers etc to go to 4.5 G or 5G etc [3-5]. Such an alternative method that we discuss here, was inspired among other things by suggestions by R.N. Boyd, PhD., a senior physicist, and also for instance by a philosophy of Indian govt to “offer (responsible) software solutions to infrastructure problems” (that is at least what we read from several publications; although of course not all infrastructure problems can be solved entirely with software approach). The pursuit of ultra-efficient video compression, pushing far beyond the limits of current standards like H.265 or AV1, requires a fundamental re-evaluation of how we define and transmit digital information [5]. This exploration ventures into the realm of quantum information theory and advanced mathematical
concepts, proposing a new paradigm that could theoretically achieve compression ratios exceeding 1000:1 [6]. The essence of this argument rests on two novel and interconnected ideas: a modified form of quantum Shannon entropy and the application of the Argand complex plane [3,4].