Quantum Computer: Breakthrough?
By Shlomo Maital
After my blog declaring the repeal of Moore’s Law, and as semiconductor technology ‘hits the wall’, here comes a breakthrough, “the next big thing”. It’s very esoteric based on quantum physics. Here is the very well-written report by Ido Efrati from the Israeli daily Haaretz:
Four experts at the Technion devise a step toward production of a quantum computer, in research recently published in the prestigious journal, Science. Their recent article, entitled, “Deterministic Generation of a Cluster State of Entangled Photons,” already praised by fellow physicists, represents a scientific breakthrough in quantum theory. The innovation was developed in the laboratory of Prof. David Gershoni of the Technion’s Faculty of Physics, in cooperation with doctoral students Ido Schwartz and Dan Cogan, and Prof. Nathaniel Lindner and has the potential to influence the future of communications, encryption and computerization.
Gershoni and his colleagues have tackled a major problem in attempts to develop quantum computers, coming closer to resolving the issue of how to create qubit units in an initiated and controlled manner to enable construction of such a computer.
Physicists and technology firms have pursued the idea of producing a quantum computer for about three decades, in hopes of transporting the world of information and computers to entirely different worlds. The idea goes back to physicist Richard Feynman who proposed the idea of quantum computerization in the 1980s. In effect such a machine would process data but in contrast to a classical computer, it would utilize the characteristics of quantum mechanics.
The difference is that whereas in the classical computer the basic unit of information is a bit, (zero or one); a quantum computer uses a quantum bit known as a “qubit.” The difference between the two units is enormous. (See Diagram above).
A quantum computer can more quickly calculate what could take the fastest conventional computers millions of years, if not more, to resolve. It can potentially contribute greatly to the fields of medical research, advanced artificial intelligence, securing information and developing codes, “and in effect any field where calculating power is of significance,” Gershoni said.