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IBM Sets the Course to Build World's First Large-Scale, Fault-Tolerant Quantum Computer at New IBM Quantum Data Center

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IBM Sets the Course to Build World's First Large-Scale, Fault-Tolerant Quantum Computer at New IBM Quantum Data Center
Business

Business

IBM Sets the Course to Build World's First Large-Scale, Fault-Tolerant Quantum Computer at New IBM Quantum Data Center

2025-06-10 18:00 Last Updated At:18:16

  • IBM Quantum roadmap, processors, and infrastructure outline clear path to IBM Quantum Starling, expected to be first large-scale, fault-tolerant quantum computer 
  • Breakthrough research defines key elements for an efficient fault-tolerant architecture — charting the first viable path toward a system projected to run 20,000 times more operations than today's quantum computers
  • Representing the computational state of IBM Starling would require the memory of more than a quindecillion (1048) of the world's most powerful supercomputers
  • YORKTOWN HEIGHTS, N.Y., June 10, 2025 /PRNewswire/ -- IBM (NYSE: IBM) unveiled its path to build the world's first large-scale, fault-tolerant quantum computer, setting the stage for practical and scalable quantum computing.

    Delivered by 2029, IBM Quantum Starling will be built in a new IBM Quantum Data Center in Poughkeepsie, New York and is expected to perform 20,000 times more operations than today's quantum computers. To represent the computational state of an IBM Starling would require the memory of more than a quindecillion (1048) of the world's most powerful supercomputers. With Starling, users will be able to fully explore the complexity of its quantum states, which are beyond the limited properties able to be accessed by current quantum computers.

    IBM, which already operates a large, global fleet of quantum computers, is releasing a new Quantum Roadmap that outlines its plans to build out a practical, fault-tolerant quantum computer.

    "IBM is charting the next frontier in quantum computing," said Arvind Krishna, Chairman and CEO, IBM. "Our expertise across mathematics, physics, and engineering is paving the way for a large-scale, fault-tolerant quantum computer — one that will solve real-world challenges and unlock immense possibilities for business."

    A large-scale, fault-tolerant quantum computer with hundreds or thousands of logical qubits could run hundreds of millions to billions of operations, which could accelerate time and cost efficiencies in fields such as drug development, materials discovery, chemistry, and optimization.

    Starling will be able to access the computational power required for these problems by running 100 million quantum operations using 200 logical qubits. It will be the foundation for IBM Quantum Blue Jay, which will be capable of executing 1 billion quantum operations over 2,000 logical qubits.

    A logical qubit is a unit of an error-corrected quantum computer tasked with storing one qubit's worth of quantum information. It is made from multiple physical qubits working together to store this information and monitor each other for errors.

    Like classical computers, quantum computers need to be error corrected to run large workloads without faults. To do so, clusters of physical qubits are used to create a smaller number of logical qubits with lower error rates than the underlying physical qubits. Logical qubit error rates are suppressed exponentially with the size of the cluster, enabling them to run greater numbers of operations.

    Creating increasing numbers of logical qubits capable of executing quantum circuits, with as few physical qubits as possible, is critical to quantum computing at scale. Until today, a clear path to building such a fault-tolerant system without unrealistic engineering overhead has not been published.

    The Path to Large-Scale Fault Tolerance

    The success of executing an efficient fault-tolerant architecture is dependent on the choice of its error-correcting code, and how the system is designed and built to enable this code to scale.

    Alternative and previous gold-standard, error-correcting codes present fundamental engineering challenges. To scale, they would require an unfeasible number of physical qubits to create enough logical qubits to perform complex operations – necessitating impractical amounts of infrastructure and control electronics. This renders them unlikely to be able to be implemented beyond small-scale experiments and devices.

    A practical, large-scale, fault-tolerant quantum computer requires an architecture that is:

    • Fault-tolerant to suppress enough errors for useful algorithms to succeed.
    • Able to prepare and measure logical qubits through computation.
    • Capable of applying universal instructions to these logical qubits.
    • Able to decode measurements from logical qubits in real-time and can alter subsequent instructions.
    • Modular to scale to hundreds or thousands of logical qubits to run more complex algorithms.
    • Efficient enough to execute meaningful algorithms with realistic physical resources, such as energy and infrastructure.

    YORKTOWN HEIGHTS, N.Y., June 10, 2025 /PRNewswire/ -- IBM (NYSE: IBM) unveiled its path to build the world's first large-scale, fault-tolerant quantum computer, setting the stage for practical and scalable quantum computing.

    Delivered by 2029, IBM Quantum Starling will be built in a new IBM Quantum Data Center in Poughkeepsie, New York and is expected to perform 20,000 times more operations than today's quantum computers. To represent the computational state of an IBM Starling would require the memory of more than a quindecillion (1048) of the world's most powerful supercomputers. With Starling, users will be able to fully explore the complexity of its quantum states, which are beyond the limited properties able to be accessed by current quantum computers.

    IBM, which already operates a large, global fleet of quantum computers, is releasing a new Quantum Roadmap that outlines its plans to build out a practical, fault-tolerant quantum computer.

    "IBM is charting the next frontier in quantum computing," said Arvind Krishna, Chairman and CEO, IBM. "Our expertise across mathematics, physics, and engineering is paving the way for a large-scale, fault-tolerant quantum computer — one that will solve real-world challenges and unlock immense possibilities for business."

    A large-scale, fault-tolerant quantum computer with hundreds or thousands of logical qubits could run hundreds of millions to billions of operations, which could accelerate time and cost efficiencies in fields such as drug development, materials discovery, chemistry, and optimization.

    Starling will be able to access the computational power required for these problems by running 100 million quantum operations using 200 logical qubits. It will be the foundation for IBM Quantum Blue Jay, which will be capable of executing 1 billion quantum operations over 2,000 logical qubits.

    A logical qubit is a unit of an error-corrected quantum computer tasked with storing one qubit's worth of quantum information. It is made from multiple physical qubits working together to store this information and monitor each other for errors.

    Like classical computers, quantum computers need to be error corrected to run large workloads without faults. To do so, clusters of physical qubits are used to create a smaller number of logical qubits with lower error rates than the underlying physical qubits. Logical qubit error rates are suppressed exponentially with the size of the cluster, enabling them to run greater numbers of operations.

    Creating increasing numbers of logical qubits capable of executing quantum circuits, with as few physical qubits as possible, is critical to quantum computing at scale. Until today, a clear path to building such a fault-tolerant system without unrealistic engineering overhead has not been published.

    The Path to Large-Scale Fault Tolerance

    The success of executing an efficient fault-tolerant architecture is dependent on the choice of its error-correcting code, and how the system is designed and built to enable this code to scale.

    Alternative and previous gold-standard, error-correcting codes present fundamental engineering challenges. To scale, they would require an unfeasible number of physical qubits to create enough logical qubits to perform complex operations – necessitating impractical amounts of infrastructure and control electronics. This renders them unlikely to be able to be implemented beyond small-scale experiments and devices.

    A practical, large-scale, fault-tolerant quantum computer requires an architecture that is:

    Today, IBM is introducing two new technical papers that detail how it will solve the above criteria to build a large-scale, fault-tolerant architecture.

    The first paper unveils how such a system will process instructions and run operations effectively with qLDPC codes. This work builds on a groundbreaking approach to error correction featured on the cover of Nature that introduced quantum low-density parity check (qLDPC) codes. This code drastically reduces the number of physical qubits needed for error correction and cuts required overhead by approximately 90 percent, compared to other leading codes. Additionally, it lays out the resources required to reliably run large-scale quantum programs to prove the efficiency of such an architecture over others.

    The second paper describes how to efficiently decode the information from the physical qubits and charts a path to identify and correct errors in real-time with conventional computing resources.

    From Roadmap to Reality

    The new IBM Quantum Roadmap outlines the key technology milestones that will demonstrate and execute the criteria for fault tolerance. Each new processor in the roadmap addresses specific challenges to build quantum computers that are modular, scalable, and error-corrected:

    • IBM Quantum Loon, expected in 2025, is designed to test architecture components for the qLDPC code, including "C-couplers" that connect qubits over longer distances within the same chip.
    • IBM Quantum Kookaburra, expected in 2026, will be IBM's first modular processor designed to store and process encoded information. It will combine quantum memory with logic operations — the basic building block for scaling fault-tolerant systems beyond a single chip.
    • IBM Quantum Cockatoo, expected in 2027, will entangle two Kookaburra modules using "L-couplers." This architecture will link quantum chips together like nodes in a larger system, avoiding the need to build impractically large chips.

    Together, these advancements are being designed to culminate in Starling in 2029.

    To learn more about IBM's path to scaling fault tolerance, read our blog here, and watch our IBM Quantum scientists in this latest video.

    Media Contacts

    Erin Angelini, IBM Communications
    Edlehr@us.ibm.com

    Brittany Forgione, IBM Communications
    Brittany.forgione@ibm.com 

    ** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **

    IBM Sets the Course to Build World's First Large-Scale, Fault-Tolerant Quantum Computer at New IBM Quantum Data Center

    IBM Sets the Course to Build World's First Large-Scale, Fault-Tolerant Quantum Computer at New IBM Quantum Data Center

    IBM Sets the Course to Build World's First Large-Scale, Fault-Tolerant Quantum Computer at New IBM Quantum Data Center

    IBM Sets the Course to Build World's First Large-Scale, Fault-Tolerant Quantum Computer at New IBM Quantum Data Center

SHENZHEN, China, Feb. 4, 2026 /PRNewswire/ -- As the demand for data to train Generative AI models surges, developers are facing a critical dilemma: how to manage aggressive AI scraping while protecting their original content and infrastructure costs. To address this, Tencent Cloud EdgeOne has officially released its Basic Bot Management capabilities to all users—including those on the Free Plan. This update introduces two core features: AI Crawler Control and the CAPTCHA Page.

Ending the Crawler "Whac-A-Mole" Game

Unlike traditional web crawlers, modern AI crawlers are stealthier, operate on a massive scale, and are increasingly difficult to distinguish from legitimate traffic. Developers often find themselves trapped in an endless game of "Whac-A-Mole"—blocking one crawler IP only to see dozens of new ones appear the next day under different guises. This results in unauthorized scraping of original content and wasted server bandwidth.

Tencent Cloud EdgeOne's new AI Crawler Control solves this by utilizing advanced User-Agent feature recognition. The system continuously updates its identification rules to pinpoint mainstream AI bots, including GPTBot, ClaudeBot, and Google-Extended.

Developers no longer need to write complex scripts to defend their sites. With a simple configuration in the EdgeOne console, users can apply diverse actions based on their specific business needs:

  • Monitor: Observe crawler behavior without interference.
  • Block: Instantly stop unauthorized data harvesting.
  • Allow: Permit friendly bots to access your site.
  • Challenge: Trigger a verification step for suspicious traffic.

This flexible strategy ensures developers can block malicious data harvesting while still embracing a friendly AI ecosystem when beneficial. 

Intelligent Defense for High-Value Scenarios

In addition to crawler management, the update includes the CAPTCHA Page feature designed to mitigate automated attacks. This function intelligently identifies suspicious Bot behavior and triggers a human-machine verification CAPTCHA.

Crucially, this is done without degrading the experience for real users. It builds a robust security line for high-stakes scenarios—such as digital content rights protection, e-commerce flash sales, and financial transactions—ensuring that automated scripts cannot manipulate metrics or disrupt services.

From Passive Defense to Active Management

"With the rapid evolution of AI technology, the governance of content and data access is a long-term challenge," said Yun Li, Head of Tencent Cloud EdgeOne Product Team. "By making our Basic Bot Management capabilities free, we aim to help every developer shift from passive defense to active management, giving them full control over their digital assets."

The new features are available now in the EdgeOne console. Tencent Cloud EdgeOne is committed to continuously refining its Bot Management and security capabilities, helping developers establish clear boundaries between AI technology application and content rights protection.

About Tencent Cloud EdgeOne: EdgeOne is Tencent Cloud's integrated platform for edge security and acceleration. 

Click the link to learn more about EdgeOne: https://edgeone.ai/?from=ai_crawler_control

About Tencent Cloud:

Tencent Cloud, one of the world's leading cloud companies, is committed to creating innovative solutions to resolve real-world issues and enabling digital transformation for smart industries. Through our extensive global infrastructure, Tencent Cloud provides businesses across the globe with stable and secure industry-leading cloud products and services, leveraging technological advancements such as cloud computing, Big Data analytics, AI, IoT, and network security. It is our constant mission to meet the needs of industries across the board, including the fields of gaming, media and entertainment, finance, healthcare, property, retail, travel, and transportation. 

** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **

Tencent Cloud EdgeOne Launches Free AI Crawler Control: Empowering Developers to Reclaim Content Sovereignty

Tencent Cloud EdgeOne Launches Free AI Crawler Control: Empowering Developers to Reclaim Content Sovereignty

Tencent Cloud EdgeOne Launches Free AI Crawler Control: Empowering Developers to Reclaim Content Sovereignty

Tencent Cloud EdgeOne Launches Free AI Crawler Control: Empowering Developers to Reclaim Content Sovereignty

Tencent Cloud EdgeOne Launches Free AI Crawler Control: Empowering Developers to Reclaim Content Sovereignty

Tencent Cloud EdgeOne Launches Free AI Crawler Control: Empowering Developers to Reclaim Content Sovereignty

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