Google has found a way to solve computing problems 100 times faster in comparison to other processes. The company's breakthrough in quantum computing could not only advance the field of artificial intelligence but also help NASA's space projects.
American multinational tech company Google Inc. has made a breakthrough in the quantum computing field. The company has established a quantum algorithm that enables solving calculable problems faster in comparison to conventional procedures. The discovery made by the tech hulk could not only lead the way to iRobot-styled AI but could also advance NASA's space programs by a hundredfold.
In 2013, NASA and Google went separate ways on a quantum computing system known as the D-Wave X2. The super computer was supposedly the world's first useful quantum computer but experts within the company and out of the organization have never been able to prove conclusively that the computer taps into the actual quantum realm to yield its calculations.
Presently, Google's announcement points on quantum annealing. This technique determines the global minimum for a given function presented on a set of possible solutions. In layman's term, it gives out the most efficient overall action course to finish a task when given an array of selections.
A lot of scientists, scholars and researchers have been working on quantum annealers for the past few years. Innovations have produced a technique called simulated annealing and a method known as quantum Monte Carlo. Nevertheless, both techniques are just simulated systems that run on traditional computer hardware.
On the other hand, the D-Wave system utilizes a hard-coded method to run quantum annealing algorithms. Using D-Wave, Google tested a new QA algorithm in a concept-proof experiment against traditional computers running Monte Carlo techniques and simulated annealing methods, and the results are very remarkable.
Google qualifies the results as encouraging and intriguing. Although the quantum tech has a long way to go to be consumer market-ready, this discovery could simulate NASA rocket launches and space missions as well as AI developers to create smarter and more responsive computer systems.
