The U.S. National Science Foundation National Quantum Virtual Laboratory (NSF NQVL) is coming into sharper focus with the selection of the first four teams that will design high-tech infrastructure to be broadly used across the country. NSF is investing $16 million in the four teams, with each receiving $4 million over two years. The NSF NQVL initiative is an ambitious effort to accelerate the development of useful quantum technologies by providing researchers anywhere in the U.S. with access to specialized resources.

The teams selected by NSF will design practical ways to expand access to the hardware and software needed for quantum science, engineering and technology development, which are currently highly bespoke and concentrated in relatively few labs. Among the design projects are plans to create shareable, networked quantum computers that can be used for experimentation from any location and a “digital twin” (a dynamic simulation that changes and responds to inputs) of a quantum computer that can be used by any U.S. researcher to test and refine new quantum algorithms.

“The National Quantum Virtual Laboratory is a critical bridge between basic discovery and deployment, specifically focused on turning America’s leadership in fundamental quantum science into practical technologies, products, and systems that will strengthen our nation’s competitiveness and ensure U.S. dominance in this field for decades to come,” said Brian Stone, performing the duties of

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During Black Friday in 2024, Stripe processed more than $31 billion in transactions, with processing rates peaking at 137,000 transactions per minute, the highest in the company’s history. The financial-services firm had to analyze every transaction in real time to prevent nearly 21 million fraud attempts that could have siphoned more than $910 million from its merchant customers. 

Yet, fraud protection is only one reason that Stripe embraced real-time data analytics. Evaluating trends in massive data flows is essential for the company’s services, such as allowing businesses to bill based on usage and monitor orders and inventory. In fact, many of Stripe’s services would not be possible without real-time analytics, says Avinash Bhat, head of data infrastructure at Stripe. “We have certain products that require real-time analytics, like usage-based billing and fraud detection,” he says. “Without our real-time analytics, we would not have a few

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