A team led by Argonne and UChicago have published an article in Nature Reviews Materials that lays out a blueprint for solid-state spin defects in materials for use in qubits.
Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can.
Led by scientists at Empa and the International Iberian Nanotechnology Laboratory, an international team of researchers from Switzerland, Portugal, Germany, and Spain have succeeded in building carbon-based quantum spin chains, where they captured the emergence of one of the cornerstone models of quantum magnetism first proposed by the 2016 Nobel laureate F. D. M. Haldane in 1983.
University of California, Berkeley Professor Umesh Vazirani, a pioneer in quantum computing algorithms and complexity theory, will deliver the annual University of Rhode Island Cruickshank Lecture on Monday, Oct. 18, in conjunction with the three-day Frontiers in Quantum Computing conference.
Researchers from the Center for Novel Pathways to Quantum Coherence in Materials are developing new pathways to create and protect quantum coherence. Doing so will enable exquisitely sensitive measurement and information processing devices that function at ambient or even extreme conditions.
Researchers have discovered a hard-to-observe type of spin called Kardar-Parisi-Zhang (KPZ) in a quantum mechanical system. Their findings demonstrate that KPZ motion accurately describes the changes in time of spin chains—linear channels of spins that interact with one another—in certain quantum materials. This could eventually be harnessed for real-world applications such as heat transport and spintronics.
A team from the U.S. Department of Energy’s Oak Ridge National Laboratory, Stanford University and Purdue University developed and demonstrated a novel, fully functional quantum local area network, or QLAN, to enable real-time adjustments to information shared with geographically isolated systems at ORNL using entangled photons passing through optical fiber.
The Center for Functional Nanomaterials (CFN) staff scientist fabricates thin-film materials for applications in solar energy conversion and quantum information science.
In a surprising discovery, an international team of researchers, led by scientists in the University of Minnesota Center for Quantum Materials, found that induced imperfections in the crystal structure of quantum materials can actually improve the material’s superconducting and electrical properties.
Scientists identified structural and chemical defects that may be causing quantum information loss—an obstacle to practical quantum computation.
A team led by Oak Ridge National Laboratory found a rare quantum material. Straining it creates an electronic band structure that sets the stage for exotic, tightly correlated behavior – akin to tangoing – among especially mobile electric charge carriers.
A new phase of matter, thought to be understandable only using quantum physics, can be studied with far simpler classical methods.
Argonne scientists David Awschalom and Oleg Poluektov have received funding from DOE to advance research in quantum information science. The award, announced on July 23, total $73 million and goes to 29 recipients.
Researchers at Chalmers University of Technology, Sweden, present a unique optical amplifier that is expected to revolutionise both space and fiber communication.
Researchers at the FAMU-FSU College of Engineering and the National High Magnetic Field Laboratory have new insight about the formation of vortices in a type of quantum fluid, work that could help our comprehension of the physics mystery of how vortex clusters form and provide valuable understanding into the atmospheric swirling motion on planets such as Earth and Jupiter.
The article summarizes Q-NEXT’s first year of activities, including scientific research, infrastructure building, and workforce development.
A quantum diamond sensor that can produce magnetic resonance imaging (MRI) of single molecules will be developed by a collaborative venture led by PPPL.
For artificial intelligence to get any smarter, it needs first to be as intelligent as one of the simplest creatures in the animal kingdom: the sea slug.
Argonne scientists have observed that when the shape of a thin film of metal oxide known as titania is confined at the mesoscale, its conductivity increases. This finding demonstrates that nanoscale confinement is a way to control quantum effects.
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