An overview of the problems that classical computers (i.e. the ones we have now) cannot solve, what quantum computing is, how it works and how it can solve those problems.
[video=youtube;JRIPV0dPAd4]https://www.youtube.com/watch?v=JRIPV0dPAd4[/video]
[quote=description]Dr. Talia Gershon, a materials scientist by training, came to IBM Research in 2012. After 4.5 years of developing next-generation solar cell materials, she got inspired to learn about quantum computing because it might enable all kinds of discoveries (including new materials). Having authored the Beginner's Guide to the QX, she passionately believes that anyone can get started learning quantum! - Maker Faire Bay Area 2017[/QUOTE]
Of particular note is the discussion of the idea that the more 'qubits' (quantum bits) you have in a computer system, the more solutions you can compute to a problem simultaneously but at the same time you get more 'errors'. In other words, the number of incorrect answers also grows exponentially with the number of qubits, so [b]quantum computers are not 'magic' in the sense that you would be able to solve any problem with them[/b] (the speed gains you get from having many simultaneous calculations is made up by the number of incorrect answers you are also generating). In fact, [b]most problems may be better solved by classical computers[/b].
This relationship between the number of simultaneous operations that can be conducted with the number of errors produced is called 'Quantum Volume', and it represents the space of possible problems that these machines can solve.
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