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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.

“In this research, rather than focusing on the pursuit of superior quantum computer performance over classical counterparts, we aimed at exploiting a dense network of interconnected qubits to observe and understand quantum behavior,” said Alejandro Lopez-Bezanilla, a physicist in the Theoretical division at Los Alamos.

In research that could jumpstart work toward the quantum internet, researchers at MIT and the University of Cambridge have built and tested an exquisitely small device that could allow the quick, efficient flow of quantum information over large distances.

Key to the device is a “microchiplet” made of diamond in which some of the diamond’s carbon atoms are replaced with atoms of tin. The team’s experiments indicate that the device, consisting of waveguides for the light to carry the quantum information, solves a paradox that has stymied the arrival of large, scalable quantum networks.

Quantum information in the form of quantum bits, or qubits, is easily disrupted by environmental noise, like magnetic fields, that destroys the information. So on one hand, it’s desirable to have qubits that don’t interact strongly with the environment. On the other hand, however, those qubits need to strongly interact with the light, or photons, key to carrying the information over distances.

Sweden’s company ConScience AB announced that the team is launching a Qubit-in-a-box 0 (QiB0) quantum device.

When you push a button to open a garage door, it doesn’t open every garage door in the neighborhood. That’s because the opener and the door are communicating using a specific microwave frequency, a frequency no other nearby door is using.

Researchers from the U.S. Department of Energy’s (DOE) Argonne National Laboratory, the University of Chicago, the University of Iowa and Tohoku University in Japan have begun to develop devices that could use the same principles — sending signals through magnets instead of through the air — to connect individual qubits across a chip, as reported in a new paper published in the Proceedings of the National Academy of Sciences.

“This is a proof of concept, at room temperature, of a scalable, robust quantum technology that uses conventional materials,” said David Awschalom, the Liew Family professor in molecular engineering and physics at the University of Chicago’s Pritzker School of Molecular Engineering; the director of the Chicago Quantum Exchange; the director of Q-NEXT, a DOE National Quantum Information Science Research Center hosted at Argonne; and the principal investigator of the project. “The beauty of this experiment is in its simplicity and its use of well-established technology to engineer and ultimately entangle quantum devices.

Soon, photons may be rewriting the rules of computing as we know them.

Chinese tech giant #tencent has predicted that high-performance #computing (HPC), #quantum computing, cloud computing and #EdgeComputing will soon merge.

And it will all come together in one big, happy, hybrid innovation engine.

A team of researchers demonstrate how quantum computing can be integrated into the study of living organisms.

In the world of quantum computing, the spotlight often lands on the hardware: qubits, superconducting circuits, and the like. But it’s time to shift our focus to the unsung hero of this tale – the quantum software, the silent maestro orchestrating the symphony of qubits. From turning abstract quantum algorithms into executable code to optimizing circuit designs, quantum software plays a pivotal role.

Here, we’ll explore the foundations of quantum programming, draw comparisons to classical computing, delve into the role of quantum languages, and forecast the transformational impact of this nascent technology. Welcome to a beginner’s guide to quantum software – a journey to the heart of quantum computing.

Quantum vs. Classical Programming: The Core Differences.

It was 1951 that a Japanese researcher found a two dimensional lattice structure that could lock electrons. It has taken over seven decades to find a 3D structure.