Optimizing continuous-variable functions with quantum annealing

Quantum annealing (QA) is a cutting-edge algorithm that leverages the unique properties of quantum computing to tackle complex combinatorial optimization problems (a class of mathematical problems dealing with discrete-variable ...

Revealing the effect of AIN surface pits on GaN remote epitaxy

Remote epitaxy has been gaining attention in the field of semiconductor manufacturing for growing thin films that copy the crystal structure of the template, which can later be exfoliated to form freestanding membranes. However, ...

Machine learning contributes to better quantum error correction

Researchers from the RIKEN Center for Quantum Computing have used machine learning to perform error correction for quantum computers—a crucial step for making these devices practical—using an autonomous correction system ...

3D printing near net shape parts with no post-processing

Carnegie Mellon University Professor Rahul Panat, and his team, were developing a new type of 3D printed Brain-Computer Interface (or BCI) device where custom micropillars capture the communication signals from neurons when ...

A blueprint for a quantum computer in reverse gear

Large numbers can only be factorized with a great deal of computational effort. Physicists at the University of Innsbruck, Austria, led by Wolfgang Lechner are now providing a blueprint for a new type of quantum computer ...

Another step towards practical quantum computers

Researchers from the University of Sussex and Universal Quantum have demonstrated for the first time that quantum bits (qubits) can directly transfer between quantum computer microchips and demonstrated this with record-breaking ...

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