Purdue University

Quantum Computing Algorithms and Big Data’s Data

A Purdue University’s research team has embarked on a task to combine quantum computing and analysis of big data sets.  How big?  3 petabytes of data is collected every two seconds.  The data is coming from the U.S. electrical grid.  Monitoring the data – currents and voltages – enables the grid operators to make decisions which keep the grid stable.  To analyze such a tremendous amount of data requires unique systems invoking unique algorithms.

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Australia: Controlling Qubits on Silicon

Australia, in collaboration with U.S.A.’s Purdue University, surged forward with controlling qubits individually on silicon chips. The ability to control qubits singly is seen paramount to moving ahead in making quantum computing a reality. Additional positive findings were error-reductions in the system due to the ability to control qubits individually when in proximity to each other. This brings quantum computing one step closer to complex computations involving entangled states. 

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Qubit Control thru Silicon and Magnetism

Silicon-based qubits have spin-orbits which are manipulated with magnetic fields more readily than other means available. Designers from the University of Wisconsin-Madison created the experimental device, based on silicon. Research scientists from Purdue University and the Technological University of Delft conducted the experimentation. The spin-orbit strength was found to be dependent on magnetic fields from external sources coupled with the silicon surface material; where qubits reside as quantum dots.

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