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Illinois may be on the verge of securing the largest technology project in its history—what is being labeled a “$20 billion, 150-acre quantum computing campus,” potentially anchored by Silicon Valley startup PsiQuantum, according to Crain’s Chicago Business. PsiQuantum, hot off an announcement that its receiving $600 million to build a manufacturing site in Australia, is reportedly considering two Chicago-area locations for the project, the business journal reports.

The proposed sites, the former U.S. Steel plant on the South Side and the former Texaco refinery in Lockport, are both under final review, with a decision expected soon. This initiative is part of a broader vision by Governor J.B. Pritzker’s administration, which pundits are referring to a modern-day Manhattan Project, to position Illinois as a leader quantum computing.

Quantum computing leverages the principles of quantum mechanics to process information much faster than classical machines for certain computational problems. Quantum devices could potentially transform everything from cancer research to climate modeling. PsiQuantum aims to use a photonic quantum approach to develop a fault-tolerant quantum computer that could be commercially viable.

Tesla’s heavy investment in AI and autonomy, potential for full self-driving capability, and innovative business model have the potential to revolutionize multiple industries and generate massive revenue through software subscriptions and other ventures.

Questions to inspire discussion.

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Microsoft’s Copilot is gradually revolutionizing the working lives of software engineers—the first professional cohort to use generative AI en masse. Microsoft says Copilot has attracted 1.3 million customers so far, including 50,000 businesses.

An American debt collection agency suffered a data breach in late February, losing sensitive data belonging to almost two million people.

Earlier this week, Financial Business and Consumer Solutions (FBCS) sent a data breach notification letter to affected customers, explaining that unauthorized third parties accessed its systems on February 14, 2024, and remained there until being spotted, and ousted, on February 26.

Research published in Nature demonstrates high qubit control fidelity and uniformity in single-electron control.

SANTA CLARA, Calif., May 1, 2024 —(BUSINESS WIRE)—Today, Nature published an Intel research paper, “Probing single electrons across 300-mm spin qubit wafers,” demonstrating state-of-the-art uniformity, fidelity and measurement statistics of spin qubits. The industry-leading research opens the door for the mass production and continued scaling of silicon-based quantum processors, all of which are requirements for building a fault-tolerant quantum computer.

Quantum hardware researchers from Intel developed a 300-millimeter cryogenic probing process to collect high-volume data on the performance of spin qubit devices across whole wafers using complementary metal oxide semiconductor (CMOS) manufacturing techniques.

ARMONK, N.Y., April 30, 2024 — Today, IBM (NYSE: IBM) has announced an agreement with RIKEN, a Japanese national research laboratory, to deploy IBM’s next-generation quantum computer architecture and best-performing quantum processor at the RIKEN Center for Computational Science in Kobe, Japan. It will be the only instance of a quantum computer co-located with the supercomputer Fugaku.

This agreement was executed as part of RIKEN’s existing project, supported by funding from the New Energy and Industrial Technology Development Organization (NEDO), an organization under Japan’s Ministry of Economy, Trade and Industry (METI)’s “Development of Integrated Utilization Technology for Quantum and Supercomputers” as part of the “Project for Research and Development of Enhanced Infrastructures for Post 5G Information and Communications Systems.” RIKEN has dedicated use of an IBM Quantum System Two architecture for the purpose of implementation of its project. Under the project RIKEN and its co-PI SoftBank Corp., with its collaborators, University of Tokyo, and Osaka University, aim to demonstrate the advantages of such hybrid computational platforms for deployment as services in the future post-5G era, based on the vision of advancing science and business in Japan.

In addition to the project, IBM will work to develop the software stack dedicated to generating and executing integrated quantum-classical workflows in a heterogeneous quantum-HPC hybrid computing environment. These new capabilities will be geared towards delivering improvements in algorithm quality and execution times.

The platform’s ability to interface with a variety of data sources and observability tools makes it a versatile solution for businesses operating in diverse IT environments, whether on-premises, in the cloud, or in hybrid settings. By serving as an intelligence layer that rationalizes data from multiple observability and infrastructure sources, Flip AI simplifies the workload for IT operations teams and supports more efficient operational practices.

This innovative use of LLMs for operational efficiency in IT environments presents a significant advancement in observability, offering enterprises a powerful tool to enhance system reliability and performance while reducing the economic impact of downtime.

As LLMs continue to evolve, their integration into observability tools is transforming the landscape of infrastructure and workload observability. The immediate benefits of improved performance monitoring and security are just the beginning.

In line with that ambition, Samsung on Tuesday said it has begun mass-producing high-performance memory chips, like HBM3E 8H (8-layer) DRAM, as well as V9 NAND chips, typically used in enterprise servers, AI and cloud devices. The company said it also intends to produce HBM3E 12H (12-layer) chips in the second quarter of this year.

Samsung is the world’s largest memory chip maker and competes with Micron and SK Hynix, a Korean memory chip maker, in the market for HBM chips. Micron kicked off its mass production of 8-layer HBM3E semiconductors in February, and last month at Nvidia’s GTC 2024, SK Hynix said it had also started mass producing HBM3E chips.

As for its foundry business, Samsung said its development of 3-nanometer and 2-nanometer AI chips is “progressing smoothly.”

As summer approaches, electricity demand surges in the U.S., as homes and businesses crank up the air conditioning. To meet the rising need, many East Coast cities are banking on offshore wind projects the country is building in the Atlantic Ocean.

For electric grid operators, knowing how much wind power these offshore turbines can harvest is critical, but making accurate predictions can be difficult. A team of CU Boulder scientists and their collaborators are working to tackle the challenge.

In a paper published March 14 in Wind Energy Science, a team led by Dave Rosencrans, a doctoral student, and Julie K. Lundquist, a professor in the Department of Atmospheric and Ocean Sciences, estimates that offshore wind turbines in the Atlantic Ocean region, where the U.S. plans to build large wind farms, could take away wind from other turbines nearby, potentially reducing the farms’ power output by more than 30%.