Breakthrough in quantum universal gate sets: A high-fidelity iToffoli gate
Peer-Reviewed Publication
Researchers at the Advanced Quantum Testbed at Berkeley Lab demonstrated the first three-qubit high-fidelity iToffoli native gate in a superconducting quantum information processor and in a single step. This demonstration adds a novel easy-to-implement native three-qubit logic gate for universal quantum computing.
Argonne researchers have used quantum computers to simulate spin defects, an important material property for the next generation of quantum computers.
New research describes a “chaperone” protein that delivers zinc, a trace element essential for survival in all living things, to where it’s needed. The chaperone could be especially important when access to zinc is limited—for example in nutrient deficient diets and for growing crops on depleted soils.
A Berkeley Lab-led research team has demonstrated an ultrathin silicon nanowire that conducts heat 150% more efficiently than conventional materials used in advanced chip technologies. The device could enable smaller, faster, energy-efficient microelectronics.
Chemists at the U.S. Department of Energy’s Brookhaven National Laboratory have developed a new machine-learning (ML) framework that can zero in on which steps of a multistep chemical conversion should be tweaked to improve productivity. The approach could help guide the design of catalysts—chemical “dealmakers” that speed up reactions.
In a paper just published in the journal Advanced Materials, a team of scientists from Northwestern University and Brookhaven National Laboratory describe the previously hidden sub-nanoscale origins of exceptional thermoelectric properties in silver gallium telluride. The discovery reveals a quantum mechanical twist on what drives the emergence of these properties—and opens up a completely new direction for searching for new high-performance thermoelectrics.
Imagine a computer that can think as fast as the human brain while using very little energy. That's the goal of scientists seeking to discover or develop "neuromorphic" materials that can send and process signals as easily as the brain's neurons and synapses. In a paper just published scientists describe surprising new details about vanadium dioxide, one of the most promising neuromorphic materials.
Scientists at Argonne have used machine learning algorithms to predict how long a lithium-ion battery will last.
Scientists have developed a qubit platform formed by freezing neon gas into a solid, spraying electrons from a light bulb’s filament onto it, and trapping a single electron there. This system shows great promise as an ideal building block for quantum computers.
An ecological protective coating, stronger yet less expensive than potentially dangerous beryllium shielding, is baked of alternating layers of sugar and silica at Sandia National Laboratories. The simple result, which mimics the structure of a seagull, should lower costs for pulsed power machines and space satellites.