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.
The U.S. Department of Energy (DOE) today announced $53 million in funding awards for diverse small businesses to pursue advanced scientific instrumentation and technologies to address climate change. The funding will support 259 projects across 38 states that cover security and resilience, renewable energy, energy storage, carbon capture and conversion, and fusion energy, including projects that invest in disadvantaged communities to promote equitable research, development, and deployment of solutions. Developing new clean energy solutions is a key component of achieving President Biden’s goal of a net-zero carbon economy by 2050.
Top scientists and officials from government, academia, Alaskan Native communities, and industry are heading to Alaska to focus on driving energy technologies for a more sustainable Arctic region.
AWS joins Q-NEXT as an institutional partner. Q-NEXT is a DOE National QIS Research Center led by Argonne.
New research predicts that changes in mountain snowmelt will shift peak streamflows to much earlier in the year for the vast Colorado River Basin, altering reservoir management and irrigation across the entire region.
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.