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Finland develops quantum algorithms for the future – ComputerWeekly.com

Many experts believe that once quantum computers are big enough and reliable enough to solve useful problems, the most common deployment architecture will be to have them serve as accelerators for supercomputers. Several algorithms have already been developed to run on this architecture, including the most famous one Shors algorithm, which will one day crack many of todays public key cryptosystems.

World’s Purest Silicon Paves the Way for Next-Gen Quantum Computers – SciTechDaily

Researchers at the University of Manchester and the University of Melbourne have developed an ultra-pure silicon crucial for creating scalable quantum computers, which could potentially address global challenges such as climate change and healthcare issues. A major breakthrough in quantum computing has been achieved with the development of ultra-pure silicon, setting the stage for the creation of powerful, scalable quantum computers. More than 100 years ago, scientists at The University of Manchester changed the world when they discovered the nucleus in atoms, marking the birth of nuclear physics.

Quantum computing may be the future of technology: what does that really mean? – cuindependent

Physics Professor David Wineland in his lab at the National Institute of Standards and Technology (NIST) in Boulder. Professor Wineland was awarded the 2012 Nobel Prize for his ground-breaking experimental methods that enable measuring and manipulation of individual quantum systems

BBVA runs successful trial of distributed quantum simulation in the cloud – Finextra

BBVA has completed a successful trial of the execution of quantum algorithms across multiple conventional servers in the AWS cloud. Javier Recuenco Andrs, head of the Technical Architecture Innovation area at BBVA CIB in charge of the pilot project, says of the project: With these trials, we have shown that at BBVA we can have a proprietary architecture for executing quantum algorithms, which would help further our exploration of their use in complex financial tasks. To run its test, BBVA worked with the Quantum Computing team of the digital transformation company VASS and AWS, using Qiskit software to distribute the execution of quantum algorithms across multiple classical compute servers located in the AWS cloud, and created a platform to automate and streamline the distribution process.

BBVA runs successful trial of distributed quantum simulation in the cloud – BBVA

To run its test, BBVA worked with the Quantum Computing team of the digital transformation company VASS and AWS, using Qiskit software to distribute the execution of quantum algorithms across multiple classical compute servers located in the AWS cloud, and created a platform to automate and streamline the distribution process. With this distributed quantum simulation, one of the first of its kind in the financial sector, BBVA was able to run quantum algorithms scaling up to a total computing power of 38 qubits, a scale that is difficult to reach with the use of a single classical computer. The higher the number of qubits, the more complex the problems the system can tackle

Unveiling the Potential of Hole Spin Qubits in Quantum Computing – AZoQuantum

Scientists from the University of Basel and the NCCR SPIN have achieved the first controllable interaction between two-hole spin qubits in a typical silicon transistor.

Chinese server CPU beats Microsoft, Google and AWS rivals to grab performance crown Alibaba’s Yitian 710 is … – TechRadar

Alibaba Cloud's Yitian 710 processor is the most efficient Arm-based server processor for database tasks in hyperscale cloud environments around today, new research has claimed.

Apple to employ AI cloud servers using its own processors – Macworld

A new Bloomberg report details a project code-named ACDC, for Apple Chips in Data Centers, in which Apple will use its own silicon to provide cloud AI services. Apple is going big on AI with iOS 18 and macOS 15, and while on-device processing will be a big differentiator for the company, more advanced tasks will require the resources of big server infrastructure.

For complex iPhone AI tasks, Apple will use cloud-based servers running M-series chips – PhoneArena

Apple is planning on having more complex AI tasks for iPhones, iPads, and Macs get sent through the cloud to data centers using servers powered by Apple's powerful in-house chips. Less complicated AI tasks will be handled directly on-device which will make them faster and more secure. According to a report in Bloomberg written by the news agency's chief Apple correspondent Mark Gurman, the first chips to be used to power the servers in the data centers will be the M2 Ultra.

Apple plans to use M2 Ultra chips in the cloud for AI – The Verge

Apple plans to start its foray into generative AI by offloading complex queries to M2 Ultra chips running in data centers before moving to its more advanced M4 chips. Bloombergreportsthat Apple plans to put its M2 Ultra on cloud servers to run more complex AI queries, while simple tasks are processed on devices. The Wall Street Journal previously reported that Apple wanted to make custom chips to bring to data centers to ensure security and privacy in aproject the publicationsaysis called Project ACDC, or Apple Chips in Data Center.But the company now believes its existing processors already have sufficient security and privacy components