IBM announces new quantum processor, plan for Starling supercomputer by 2029
Part of the company's plan involves the new IBM Quantum Nighthawk processor, which is set to release later this year, according to a blog post announcing the details.
"Unlocking the full promise of quantum computing will require a device capable of running larger, deeper circuits with hundreds of millions of gates operating on hundreds of qubits, at least," the company said in a blog post. "More than that, it will require a device capable of correcting errors and preventing them from spreading throughout the system. ... it will require a fault-tolerant quantum computer.
Fault tolerance refers to the system's ability to correct and deal with errors.
The quantum race accelerated this year after Google announced its breakthrough quantum chip "Willow" in December. Microsoft rolled out its first quantum chip Majorana 1 in February, and Amazon followed a week later with its "Ocelot" chip.
Quantum computing has received more attention and investment in recent years as experts say they are getting closer to a device that can actually solve problems faster than a traditional computer based on semiconductors.
Researchers say a working quantum computer will be a useful tool to simulate complicated physics or do math that could decipher encrypted data.
Quantum Starling will be built at the IBM Poughkeepsie Lab in New York.
IBM's new roadmap sets a timeline for building the components needed in the build, with a series of processors and adapters all named with the bird theme.
This year the company is building the Quantum Loon chip, followed by the Quantum Kookaburra, a quantum processor module, in 2026, the blog post said. The Quantum Cockatoo adapter is set for 2027.
The Quantum Nighthawk processor will replace the company's Quantum Heron processor, the company said in the post. IBM said Nighthawk can run quantum circuits with 5,000 gates, like the Heron, but plans to boost it to 15,000 gates by 2028.
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Global Quantum Computing in Energy and Utility Market Size/Share Worth USD 23.72 Billion by 2034 at 4.40% CAGR: Custom Market Insights (Analysis, Outlook, Leaders, Report, Trends, Forecast, Segmentation, Growth Rate, Value, SWOT Analysis)
[220+ Pages Latest Report] According to a market research study published by Custom Market Insights, the demand analysis of Global Quantum Computing in Energy and Utility Market size & share revenue was valued at approximately USD 15.42 Billion in 2024 and is expected to reach USD 16.10 Billion in 2025 and is expected to reach around USD 23.72 Billion by 2034, at a CAGR of 4.40% between 2025 and 2034. The key market players listed in the report with their sales, revenues and strategies are IBM, Google, Microsoft, Rigetti Computing, D-Wave Systems, Honeywell Quantum Solutions, Intel, IonQ, Xanadu Quantum Technologies, Alibaba Quantum Laboratory, Cambridge Quantum Computing, Zapata Computing, Quantum Circuits Inc., Toshiba Corporation, Fujitsu, Accenture, AWS (Amazon Web Services) Quantum Computing, Microsoft Azure Quantum, Baidu Quantum Computing, QCI (Quantum Computing Inc.) and others. Austin, TX, USA, July 03, 2025 (GLOBE NEWSWIRE) -- Custom Market Insights has published a new research report titled 'Quantum Computing in Energy and Utility Market Size, Trends and Insights By Technology (Quantum Hardware, Quantum Software, Quantum Services), By Application (Grid Optimization, Energy Storage Systems, Renewable Energy Forecasting, Predictive Maintenance, Supply Chain Optimization), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034' in its research database. 'According to the latest research study, the demand of global Quantum Computing in Energy and Utility Market size & share was valued at approximately USD 15.42 Billion in 2024 and is expected to reach USD 16.10 Billion in 2025 and is expected to reach a value of around USD 23.72 Billion by 2034, at a compound annual growth rate (CAGR) of about 4.40% during the forecast period 2025 to 2034.' Click Here to Access a Free Sample Report of the Global Quantum Computing in Energy and Utility Market @ Overview As per the industry experts at CMI, the main positioning factor for quantum computing applications in the energy and utilities industry is the increase in efficiency to operate complex and data-rich processes. As renewable energy sources continue to grow, quantum computing is allowing for better utility forecasting and optimization of renewable energy, such as wind and solar. These capabilities can also improve responsiveness in grid management, predictive maintenance, and energy storage systems. Convenience and allowing utility companies to solve complex optimization problems faster than they could do with classical computing ensures more reliable and cost-effective solutions and ultimately will lead to more widespread adoption of quantum technologies in the energy sector. Key Trends & Drivers Better Energy Efficiency: Quantum computing can process large datasets considerably faster than classical computers. This enables significant improvements in predictions and optimizations for energy systems, which improves energy distribution, grids, and storage and increases energy efficiency. Quantum algorithms can quickly identify consumptive behavior patterns or consumption to optimize resources and reduce waste, which is a growing need, particularly in renewable energy management. Aside from the energy efficiency impact, it is one of the main systems driving quantum computing in energy and utilities. Better Inclusion of Alternative Energy Sources: The growing demand for renewable energy generation requires systems at times that require optimization, from solar, wind, hydroelectricity, etc. Quantum computing optimizes how we forecast the next day's and next hour's weather and provides more accurate renewable energy production models. Quantum computing improves the incorporation of renewable energy into existing grids and helps improve the balancing of supply and demand, and in doing so, reduces the need for non-renewable resources. The emphasis on cleaner energy systems and climate sustainability will significantly influence the adoption of quantum computing in the energy and utilities sector. Cost Optimization and Reduction: Energy systems are complex, including grid systems, generation production, and regulations to consider. Energy systems require constantly optimized integrations of a vast number of systems to reduce costs and ultimately help provide better services to consumers. In theory, quantum computing should help accomplish large-scale optimization processes to improve energy systems across the electricity supply chain in the future. Request a Customized Copy of the Quantum Computing in Energy and Utility Market Report @ Enhanced Decision-Making and Predictive Analytics: Quantum computing can help to improve predictive analytics by allowing users to analyze vast amounts of data quickly and with the highest degree of accuracy. The energy and utility sectors can leverage quantum predictive analytics to more accurately forecast energy demands, grid stability, and maintenance. Quantum algorithms are also capable of forecasting potential system failures or energy shortages before they happen, allowing them to remedy inefficiencies proactively and mitigate unexpected inhibitors to energy availability. The real-time analytics of quantum computing provide energy and utility operators with increased operational efficiencies, which is essential to the maintenance of reliability in the energy supply chain. Support for Smart Grid and IoT Integration: The transition to smart grids, in combination with the increased utility of the Internet of Things (IoT) with energy systems, is creating a powerful need for advanced computational solutions. Quantum computing can facilitate the computational power needed to assist in the integration of IoT devices by analyzing real-time and near-real-time data produced by the IoT devices. Quantum computing can help utilities optimize data from IoT devices to make smart grids responsive and adaptive to even further changing energy demands. As utilities continue to modernize their assets and infrastructure, quantum computing assists with the coordinated operation and scalability of smart grids and IoT systems. Report Scope Feature of the Report Details Market Size in 2025 USD 16.10 Billion Projected Market Size in 2034 USD 23.72 Billion Market Size in 2024 USD 15.42 Billion CAGR Growth Rate 4.40% CAGR Base Year 2024 Forecast Period 2025-2034 Key Segment By Technology, Application and Region Report Coverage Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends Regional Scope North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America Buying Options Request tailored purchasing options to fulfil your requirements for research. (A free sample of the Quantum Computing in Energy and Utility report is available upon request; please contact us for more information.) Our Free Sample Report Consists of the following: Introduction, Overview, and in-depth industry analysis are all included in the 2024 updated report. The COVID-19 Pandemic Outbreak Impact Analysis is included in the package. 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While quantum computing has much potential, it is still in its early stages for the energy sector and has little in the way of actual, realizable applications that can be scaled. Quantum hardware is also very expensive to build and operate, which will deter some companies from pursuing the technology. The skilled labor shortage is about to emerge with quantum computing; it's very difficult to find a quantum physicist who also understands the application of quantum algorithms to energy and utility optimization. In other words, for energy to realize the value of quantum computing, there are still significant hurdles to overcome. Opportunities: With the rise of renewable energy, the need for more intelligent, more efficient energy systems presents major opportunities for quantum computing. The technology can provide the needed solutions for energy forecasting, optimization of the grid system, and energy storage, helping to leverage a transformation away from carbon-based energy sources. 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