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Whether it’s baking a cake, building a house, or developing a quantum device, the quality of the end product significantly depends on its ingredients or base materials. Researchers working to improve the performance of superconducting qubits, the foundation of quantum computers, have been experimenting using different base materials in an effort to increase the coherent lifetimes of qubits.

The coherence time is a measure of how long a retains quantum information, and thus a primary measure of performance. Recently, scientists discovered that using tantalum in makes them perform better, but no one has been able to determine why—until now.

Scientists from the Center for Functional Nanomaterials (CFN), the National Synchrotron Light Source II (NSLS-II), the Co-design Center for Quantum Advantage (C2QA), and Princeton University investigated the fundamental reasons that these qubits perform better by decoding the chemical profile of tantalum.

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Mindfulness-based awareness training can help people learn to better control brain-computer interfaces. But a new study has found that a single guided mindfulness meditation exercise isn’t enough to boost performance. The findings, published in Frontiers in Human Neuroscience, suggest that a longer period of meditation is needed in order for people to experience observable improvements.

The authors of the research are interested in exploring the potential benefits of using mindfulness meditation as a training tool to improve the performance of brain-computer interfaces, which allow individuals to control machines or computers directly from their brain, bypassing the traditional neuromuscular pathway. These devices have the potential to greatly benefit people with conditions such as spinal cord injuries, stroke, and neurodegenerative diseases like amyotrophic lateral sclerosis (ALS).

Previous studies have shown that one of the most effective signals for brain-computer interface control is the sensorimotor rhythm produced in the primary sensorimotor areas during motor imagery. However, not everyone is able to effectively control brain-computer interfaces, with approximately 20% of the population being “BCI-inefficient” even with extensive training. Therefore, researchers are looking for ways to improve performance, and one potential method is through meditation.

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Tesla CEO Elon Musk, who last year described himself as “fairly nocturnal,” is known for his history of working through the night and even sleeping beneath his desk to meet deadlines. Recently, however, he revealed that he is endeavoring to secure at least six hours of sleep every night.

In an interview with CNBC on Tuesday, Musk said, “I’ve tried to sleep less, but even though I’m awake more hours, I get less done. And the brain pain level is bad if I get less than six hours of sleep per night.”

Musk said he often works seven days per week and only takes “two or three” truly workless vacation days yearly. However, he said he doesn’t expect his employees to model that behavior.

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