What is QC?
Non-physicists often have the mistaken idea that quantum mechanics is hard. Unfortunately, many physicists have done nothing to correct that idea. But in newer textbooks, courses, and survey articles, the truth is starting to come out: if you wish to understand the central ‘paradoxes’ of quantum mechanics, together with almost the entire body of research on quantum information and computing, then you do not need to know anything about wave-particle duality, ultraviolet catastrophes, Planck’s constant, atomic spectra, boson-fermion statistics, or even Schrödinger’s equation.
‘Quantum computing’ sounds as exotic to physicists and computer scientists as it does to laypeople. The standard definition is that this is a field devoted to applying findings from the physics of quantum mechanics to computing in general. What is quantum mechanics? A mystical and apparently accurate description of the Cosmos that shows everything as ultimately everywhere at once. A lapis philosophorum.
Being fringey, quantum is mysterious. Yet, the mostly established assumption is that QC is an impossible task for a ‘classical’ computer/Turing machine – such as the device you’re reading this with. It requires intelligent management of exponentially complex resources. In other words, good old fashioned software is not capable of instructing a computer to carry out QC efficiently.
Thus classical implementation of QC is impractical and in order to overcome the problems, research facilities have started building exotic processors. This new class of hardware represents the beginnings of a fresh generation of technology. As it becomes scalable, we are left with the question: what will we do with all the obsolete classical hardware (laptops, desktops, servers, phones, satellites… ) we’ll have lying around?
Noospheer is engaged in the research/application of QC to permissive-license software which can run on any computer and faithfully reproduce live quantum systems — we’re attempting to successfully defy the assumption. This with goals of improving database search speeds, privacy and energy efficiency.
We’ll publish when ready for all the hackers.