For many, an intermediate goal is to achieve “quantum supremacy,” a term coined by Caltech’s John Preskill. Researchers are no longer focused solely on building a quantum computer that could carry out Shor’s algorithm and break encryption codes.
According to NIST this discovery launched a race that bloomed into a new field.
#QUANTUM ERROR CORRECTION RAMP CRACK#
In 1994 Peter Shor then a mathematician at AT&T Bell Laboratories created an algorithm, designed to run on a future quantum computer, that could quickly crack the encryption schemes used for banking and other sensitive transactions. “Computing is a physical process, and if you think about it in those terms, it opens up all sorts of new insights in both computing and the physical sciences,” says Ron Boisvert, a mathematician at NIST It spawned new sectors of the economy such as the semiconductor industry, in which global worldwide sales reached $339 billion in 2016 and grew by 21 percent in the second quarter of 2017 compared to the same period in 2016, according to the Semiconductor Industry Association.” It brought about the laser, tiny computer chips and energy-efficient LEDs. It explains the workings of very small objects such as atoms, and things that have very small amounts of energy such as photons, or individual packets of light. “Quantum mechanics revolutionized the 20th century. The field seems to be transitioning from academic labs to industry. Says Chris Monroe, a JQI fellow, professor of physics at the University of Maryland, and co-founder of the quantum information company IONQ. “Google, Intel, Microsoft, IBM, and so forth have quantum teams, and they’re actually trying to build hardware,” He describes quantum information as the marriage of quantum physics and computing theory. I was reading a post from the National Institute of Standards and Technology in the United States about the History and Future of Quantum Information by Ben P. There are two different approaches to QNN research, one exploiting quantum information processing to improve existing neural network models (sometimes also vice versa), and the other one searching for potential quantum effects in the brain.” History of Quantum Information “ Quantum neural networks ( QNNs ) are neural network models which are based on the principles of quantum mechanics. It is the basic entity of study in quantum information theory, and can be manipulated using quantum information processing techniques.” “In physics and computer science, quantum information is the information of the state of a quantum system. You can see the first segment as a summary of articles on the history of quantum computing from NIST. As I am proficient in neither you must see this article as a struggle to understand rather than any final answer. However to do this I must contend with the term ‘quantum information’. Since there is so much talk of quantum computing I thought it would be appropriate to explore a term I came across, namely quantum neural networks. Exploring the term and history in the context of new developments in artificial intelligence
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