Science & Research

Indispensable Research for Future Information and Computing Technologies Conducted by U.S. Department of Energy

A team led by the Department of Energy’s Oak Ridge National Laboratory has found a rare quantum material in which electrons move in coordinated ways, essentially “dancing.” Straining the material creates an electronic band structure that sets the stage for exotic, more tightly correlated behavior – akin to tangoing – among Dirac electrons, which are especially mobile electric charge carriers that may someday enable faster transistors. The results are published in the journal Science Advances.

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Optical Processors Light the Path to Warp-Factor Computing

Data has been sent across wide-area networks as light pulses for decades, but optical (or photonic) computing has been slow to meet the challenges of moving data in the form of light at the processor level: photons have proved profoundly trickier to traffic than electrons. And while conventional data processing continued to get faster year-after-year, there seemed scant incentive for technologists to crack the optical conundrum.

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Graphene Valleytronics: Paving the Way to Small-Sized Room-Temperature Quantum Computers

Valleytronics is an emerging field in which valleys—local minima in the energy band structure of solids—are used to encode, process, and store quantum information. Though graphene was thought to be unsuitable for valleytronics due to its symmetrical structure, researchers from the Indian Institute of Technology Bombay, India, have recently shown that this is not the case. Their findings may pave the way to small-sized quantum computers that can operate at room temperature.

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No Clunky Magnets or Cryogenics Needed With This Potential Quantum Information Processing Technique

Scientists have generated circularly polarized light and controlled its direction without using clunky magnets or very low temperatures. The findings, by Nagoya University researchers and colleagues in Japan, and published in the journal Advanced Materials, show promise for the development of materials and device methods that can be used in optical quantum information processing.

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