Spintronic Computing

Welcome to Spintronic Computing. Spintronic computing, also known as magnetoelectronics, is an emerging technology that exploits the intrinsic spin of the electron and its associated magnetic moment, in addition to its fundamental electronic charge, in solid-state devices. It is tied closely to quantum computing – a quantum computer is a device for computation that makes direct use of quantum mechanical phenomena, such as superposition and entanglement, to perform operations on data. Both practical and theoretical research continues with interest, and many national government and military funding agencies support quantum computing research to develop quantum computers for both civilian and national security purposes.

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Thanks for visiting SpintronicComputing.com. Spintronic Computing is all about the next computing paradigm – quantum computing with quantum computer videos, articles, and conversation about spintronic computers.

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I would like to know when can i buy a Quantum computer ? like what year ?

quantum computer

What is the processor equivalent? What is the memory equivalent? I’ve read it comes up with an infinity of possible solutions to a problem. How do you select the correct answer?

quantum computer

Quantum Computing Day 2: Image Recognition with an Adiabatic Quantum Computer

Google Tech Talks December, 13 2007 ABSTRACT This tech talk series explores the enormous opportunities afforded by the emerging field of quantum computing. The exploitation of quantum phenomena not only offers tremendous speed-ups for important algorithms but may also prove key to achieving genuine synthetic intelligence. We argue that understanding higher brain function requires references to quantum mechanics as well. These talks look at the topic of quantum computing from mathematical, engineering and neurobiological perspectives, and we attempt to present the material so that the base concepts can be understood by listeners with no background in quantum physics. In this second talk, we make the case that machine learning and pattern recognition are problem domains well-suited to be handled by quantum routines. We introduce the adiabatic model of quantum computing and discuss how it deals more favorably with decoherence than the gate model. Adiabatic quantum computing can be understood as an annealing process that outperforms classical approaches to optimization by taking advantage of quantum tunneling.

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