Experimental research conducted by a joint team from Los Alamos National Laboratory and D-Wave Quantum Systems examines the paradoxical role of fluctuations in inducing magnetic ordering on a network of qubits. Using a D-Wave quantum annealing platform, the team found that fluctuations can lower the total energy of the interacting magnetic moments, an understanding that may help to reduce the cost of quantum processing in devices.

Rice University scientists have discovered a first-of-its-kind material, a 3D crystalline metal in which quantum correlations and the geometry of the crystal structure combine to frustrate the movement of electrons and lock them in place.

Researchers at the University of California, Irvine and Los Alamos National Laboratory, publishing in the latest issue of Nature Communications, describe the discovery of a new method that transforms everyday materials like glass into materials scientists can use to make quantum computers.

Researchers at the University of California, Irvine and Los Alamos National Laboratory, publishing in the latest issue of Nature Communications, describe the discovery of a new method that transforms everyday materials like glass into materials scientists can use to make quantum computers.

A research team has succeeded in implementing a distributed quantum sensor that can measure multiple spatially distributed physical quantities with high precision beyond the standard quantum limit with few resources. Their findings are published in the journal Nature Communications.

In a first-of-its-kind study, the Argonne and Sandia scientists harnessed cutting-edge nanoscale research tools at the two labs and successfully demonstrated a method for implanting qubits in silicon carbide with extreme precision. They also carried out state-of-the-art analysis on how silicon carbide responds at the atomic scale to the qubits’ implantation.

In a paper published in Nature Reviews Physics, a team of experts in academia, industry, and government has created a one-stop resource on the use of quantum computers to accelerate solutions for the finance sector. The paper discusses challenges in three categories at the intersection of finance and computing: optimization, machine learning, and stochastic modeling.