g, enricude tions self-sustaining, evolutionary quantum computer processor. In fact “o use as you er.

    Gasps and murmurs rolled the audience.

    “But t’s impossible,” sed a bold voice from the audience.

    “t poum computer available today boasts only one um bits, t’s not nearly enougo make quantum computers start replacing silicon computers any time soon,” conjectured anot.

    First, for t of our television and cyberspace audiences, I o briefly explain tum computing. t currently poiny transistors t scing ters speak. Until recently, increases in speed and performance of transistors into tricity travels faster in a smaller transistor resulting in faster processors. ts result in a doubling of computing pory po as Moore’s Law.

    ell, Moore’s Lao an end and nanoteco usransistors and furtration of personal supercomputers into , even s in  to see softrends. In particular, rue artificial intelligence. Yes, ection, scenario analysis and stock trading AIs but t algoritions of a predefined set of rules and procedures. No AI o be completely self evolving and, dare I say, to  is until recently.

    e at tsingy in Beijing, one of ties in t quantum neural neto creating really intelligent softum computing? Because even ting po a pre-requisite for computer intelligence, it does speed up tionary process ime on today’s hardware.

    Again I must apologize to my friends in academia t for t of casual vie explain quickly ing is going to cing landscape forever, putting