May 2024   |   Biology

Under life’s hood

Weill Cornell team uses powerful computing to decipher the molecular mechanics of healthy and diseased cells.

Computer Science, New Faces
April 2024

Holistic computing

University of Maryland DOE Early Career researcher explores flexible, dynamic architectures for high-performance computers.

Nanomaterials, Quantum
April 2024

Quanta in bulk

A USC computer scientist wants to produce quantum materials at scale, with help from Argonne supercomputers.

Astrophysics, Exascale
March 2024

Aiming exascale at black holes

Computation reveals  details about how matter falling into these massive cosmic objects and the energy released from them affect the universe’s evolution.

Science Highlights

June 2024

Qubits, bit by bit

Scientists simulate quantum properties in a widely used semiconductor material.

To build and deploy large-scale quantum computers, researchers need to know how to control quantum bits, or qubits, made of materials with stable electronic properties. At the Department of Energy’s Midwest Center for Computational Materials (MICCoM), Argonne National Laboratory and University of Chicago researchers conducted materials simulations using a neural network-based sampling technique. Their results suggest that a leading semiconductor candidate for qubits, silicon carbide (SiC), is indeed a promising material, with long qubit coherence times and all-optical spin initialization and read-out capabilities. These advances will help the design and fabrication of spin-based qubits with atomic precision in semiconductor materials, ultimately accelerating the development of next-generation large-scale quantum computers and quantum sensors.

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