roy5995
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What are examples of quantum technology? and what are the detail of them?
The discussion revolves around examples and details of quantum technology, exploring its definitions, applications, and the current state of research. Participants share various perspectives on what constitutes quantum technology, its implications, and seek resources for further information.
Participants express a range of views on what constitutes quantum technology, with no consensus on specific examples or definitions. Some agree on the significance of certain applications, while others challenge the quantum nature of commonly cited technologies.
Participants note limitations in available resources and the complexity of quantum technology, indicating a need for clearer explanations and definitions. There is also mention of the evolving understanding of quantum applications and their implications.
This discussion may be useful for individuals interested in the definitions and applications of quantum technology, as well as those seeking resources for further exploration of the topic.
Originally posted by roy5995
can someone please explain what quantum really means?
I've read different things on it but I'm not sure that i really understand.
Originally posted by roy5995
i still don't understand.
does quantum technology exist today, or are they still reseaching it.
is a computer an example of quantum technology. If so, in what way?
Richard Feynman's observation that quantum mechanical effects could not be simulated efficiently on a computer led to speculation that computation in general could be done more efficiently if it used quantum effects. This speculation appeared justified when Peter Shor described a polynomial time quantum algorithm for factoring integers.
In quantum systems, the computational space increases exponentially with the size of the system which enables exponential parallelism. This parallelism could lead to exponentially faster quantum algorithms than possible classically. The catch is that accessing the results, which requires measurement, proves tricky and requires new non-traditional programming techniques.
The aim of this paper is to guide computer scientists and other non-physicists through the conceptual and notational barriers that separate quantum computing from conventional computing. We introduce basic principles of quantum mechanics to explain where the power of quantum computers comes from and why it is difficult to harness. We describe quantum cryptography, teleportation, and dense coding. Various approaches to harnessing the power of quantum parallelism are explained, including Shor's algorithm, Grover's algorithm, and Hogg's algorithms. We conclude with a discussion of quantum error correction.
Classically, the time it takes to do certain computations can be decreased by using parallel processors. To achieve an exponential decrease in time requires an exponential increase in the number of processors, and hence an exponential increase in the amount of physical space needed. However, in quantum systems the amount of parallelism increases exponentially with the size of the system. Thus, an exponential increase in parallelism requires only a linear increase in the amount of physical space needed. This effect is called quantum parallelism [Deutsch and Jozsa 1992].
There is a catch, and a big catch at that. While a quantum system can perform massive parallel computation, access to the results of the computation is restricted. Accessing the results is equivalent to making a measurement, which disturbs the quantum state. This
problem makes the situation, on the face of it, seem even worse than the classical situation; we can only read the result of one parallel thread, and because measurement is probabilistic, we cannot even choose which one we get.
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