Intel unveils its second-generation quantum computing control chip

Intel unveiled its second-generation quantum computing control chip during its Intel Labs virtual event today. The chip, code-named Horse Ridge II, is another milestone toward making quantum computing — one of the holy grails of computing — more practical. The new prototype builds on the first-generation Horse Ridge controller introduced in 2019. Horse Ridge II has more capability and higher levels of integration to control a quantum computer, which remains a long-term goal for the company.

At the outset of the project, Intel’s researchers designed the scalable system-on-chip (SOC) to operate at cryogenic temperatures, simplifying the control electronics and interconnects required to elegantly scale and operate large quantum computing systems. The challenge of quantum computing is that right now, it only really works at near-freezing temperatures. Intel is trying to change that, but in the meantime, the control chip eliminates having to run hundreds of wires into a refrigerated case

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Intel, partners make new strides in Loihi neuromorphic computing chip development

Intel has released new performance benchmarks for the Loihi neuromorphic computing processor, revealing improvements in power consumption and efficiency. 

During Intel’s virtual Lab Day, on Thursday, the tech giant revealed Loihi chip improvements in voice command recognition, gesture recognition in artificial intelligence (AI) applications, image retrieval, search functions, and robotics. 

Neuromorphic computing aims to use computer science to propel rule and classical logic-based AI builds into more flexible systems that emulate human cognition, including contextual interpretation, sensory applications, and autonomous adaptation. 

Intel says that neuromorphic computing focuses on emulating the human brain and implementing stable probabilistic computing, which creates “algorithmic approaches to dealing with the uncertainty, ambiguity, and contradiction in the natural world” — just like humans are capable of.

However, speaking to attendees of the virtual event, Rich Uhlig, VP and Director of Intel Labs added a caveat: progress in neuromorphic computing has “come at the cost of ever-increasing

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Quantum computing: Aliro wants to make quantum hardware more accessible for software developers and network engineers

With Q.COMPUTE and Q.NETWORK, Aliro Quantum is using cloud tech to make it easy for software developers to run quantum programs and networking engineers to build quantum networks.

If you’re a developer who wants to write code for a quantum computer, how do you know which quantum architecture and by extension which company’s
quantum computer

is best suited for the problem you’re trying to solve? Likewise, if you’re interested in connecting quantum computers together across a quantum network, how do you pick the right hardware and network design?

Aliro Quantum, thinks the answer to both these questions is to use an abstraction layer.

On this episode of
Dynamic Developer

, I talk with Dr. Prineha Narang, Assistant Professor at the John A. Paulson School of Engineering and Applied Sciences at Harvard University and CTO and co-founder Aliro Quantum about how the company is trying to make quantum more accessible with

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Penguin Computing Announces TrueHPC with NVIDIA Networking

Penguin Computing TrueHPC™ drives innovation with ready-to-run HPC

FREMONT, Calif., Nov. 17, 2020 (GLOBE NEWSWIRE) — Supercomputing2020Penguin Computing, a division of SMART Global Holdings, Inc. (NASDAQ: SGH) and leader in high-performance computing (HPC), artificial intelligence (AI), and enterprise data center solutions, today announced TrueHPC, an end-to-end, enterprise-supported HPC solution powered by Advanced Micro Devices, Inc. (AMD) and NVIDIA Mellanox HDR InfiniBand networking to deliver a workload-optimized HPC infrastructure, that scales to meet any workload, and accelerates time-to-innovation across HPC initiatives.

The HPC landscape has changed dramatically over the past two decades. New market entrants are using new strategies that push the boundaries of the discipline. At the same time, the underlying technology continues to evolve at an increasingly rapid pace. Designing the right HPC platform, that is specific to workloads and business objectives, and ensuring that the compute, storage, and networking subsystems are

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NXP, Amazon partner to connect cars to cloud computing services

FILE PHOTO: A man works on a tent for NXP Semiconductors in preparation for the 2015 International Consumer Electronics Show (CES) at Las Vegas Convention Center in Las Vegas, Nevada January 4, 2015. REUTERS/Steve Marcus

(Reuters) – Dutch chipmaker NXP Semiconductors on Tuesday said it had entered a strategic relationship with Amazon.com’s cloud computing unit to help cars communicate with data centers.

NXP is one of the biggest suppliers of computing chips to automakers and Amazon Web Services is the largest cloud computing service by revenue. The companies said the partnership would involve making a new NXP chip designed to aggregate data from a car’s systems and send it over the internet to work better with Amazon’s data centers.

“We see the opportunity to help (automakers) make impactful improvements throughout vehicle life cycles with new vehicle data insights and the ability to make continuous improvements using machine learning and over-the-air

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Dell Technologies, FedEx, Switch partner for edge computing nodes, services

switch-fedex-dell.png

Clockwise: Switch, FedEx and Dell Technologies are partnering on edge computing services. 

Dell Technologies, FedEx and data center company Switch said they will team up to create a network of multi-cloud edge computing sites.

The move is one of the first concrete efforts highlighting how edge computing sites will be housed in existing real estate assets. I noted the possibilities in January and it’s no surprise Dell Technologies is involved given CTO John Roese highlighted the connection between edge compute and real estate.

Edge computing, as well as 5G, will acquire a more distributed network with various points of presence. These points are likely to be housed in existing real estate. When Amazon Web Services and Verizon outlined plans to partner on 5G, cloud, and edge computing use cases, it became one more data point in how the technology is also about real estate. 

Dell, FedEx and Switch said they

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Exascale Computing Project Issues New Release of Extreme-Scale Scientific Software Stack

The Exascale Computing Project (ECP) has announced the availability of the Extreme-Scale Scientific Software Stack (E4S) v1.2 release.

ECP, a collaborative effort of the U.S. Department of Energy’s Office of Science and the National Nuclear Security Administration, said the E4S is a community effort to provide open source software packages for developing, deploying and running scientific applications on most high-performance computing platforms, from laptops to supercomputers.

“The E4S v1.2 release is a significant new release that includes the majority of ECP Software Technology (ST) portfolio of software products,” ECP stated in its announcement. “This release is intended to demonstrate the target approach for future delivery of the full ECP ST software stack as well as the usability of the current incarnation of the currently over 90 different packages and libraries. Links to product documentation and user forums can be found on the E4S DocPortal.

In addition to a refresh of

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IBM and AMD Partner Up to Accelerate Development in Cloud Computing and Artificial Intelligence

International Business Machines (NYSE:IBM) and Advanced Micro Devices (NASDAQ:AMD) today announced a multiyear agreement to bolster security and artificial intelligence (AI). Under terms of the deal, the two tech giants will collaborate on advancing confidential computing in hybrid cloud environments.

Both companies will utilize open-source software, open standards, and open system architectures across the process. AMD and IBM expect this to expand encryption and virtualization in high-performance computing.

The agreement also addresses one crucial challenge. The security industry has become adept at protecting data while it is at rest or even in transit. Still, data must often be available in an unencrypted form while in use. This presents a security challenge that makes some companies hesitant about the cloud.

Image of public, hybrid, and private clouds beside one another.

Image source: Getty Images

But confidential computing offers a potential solution to keep data encrypted while workloads run. If AMD and IBM can address this issue, they believe they can remove

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High-Performance Computing as a Service Market Analysis Report 2020 : Current Industry Trends, Share and Size, Prospects till 2026

The MarketWatch News Department was not involved in the creation of this content.

Nov 11, 2020 (AmericaNewsHour) —
Kenneth Research has recently added a market research study on High-Performance Computing as a Service Market 2023 which provides a complete comprehensive analysis including the data by Segmentations, by Geography and as well as the competitive landscape of the top 10 Vendors in this market

In 2018, the worldwide GDP stood at USD 84,740.3 Billion as compared to the GDP of USD 80,144.5 Billion in 2017, marked a growth of 5.73% in 2018 over previous year according to the data quoted by International Monetary Fund. This is likely to impel the growth of High-Performance Computing as a Service Market over the period 2019-2026. As per the Eurostat, the total value of the ICT sector in Europe, including the ICT manufacturing and ICT services, was estimated to be more than EUR 475 billion

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