Latest news with #faulttolerant
Forbes
13-06-2025
- Business
- Forbes
IBM Promises Enterprise-Ready Quantum Computing By 2029
IBM Quantum Starling IBM announced plans for its IBM Quantum Starling, a fault-tolerant quantum computer, that brings quantum computing a step closer in a market that has long promised revolutionary capabilities while delivering laboratory curiosities. Starling is a significant shift from experimental technology towards enterprise-ready infrastructure. The world's first large-scale, fault-tolerant quantum computer, expected by 2029, will finally bridge the gap between quantum potential and business reality. Today's most pressing business challenges push classical computing to its limits. Drug discovery timelines span decades, supply chain optimization extends across global networks, and financial risk modeling must navigate volatile markets. McKinsey estimates that quantum computing could create $1.3 trillion in value by 2035, yet current quantum systems remain too error-prone for meaningful business applications. The challenge is that existing quantum computers can only execute a few thousand operations before errors accumulate and corrupt results, making them unsuitable for many of the most complex algorithms that drive real business value. This reliability gap has kept large-scale quantum computing mostly in research labs rather than corporate data centers. IBM Quantum Starling addresses this fundamental limitation through error correction at an unprecedented scale. The system will operate 200 logical qubits while executing 100 million operations with accuracy. These logical qubits are quantum computing units protected against errors through sophisticated encoding across multiple physical components. According to IBM, this represents a 20,000-fold improvement over current quantum computers in operational capability. The business value lies in Starling's modular architecture, which is designed like an enterprise data center rather than an experimental prototype. The system will connect approximately 20 quantum modules within IBM's Poughkeepsie facility, creating a scalable infrastructure that enterprises can access through cloud services. This approach transforms quantum computing from a specialized research tool into a utility that integrates with existing enterprise workflows. Starling's real-time error correction, based on a state-of-the-art error correction called 'the gross code,' uses the Relay-BP decoder to ensure computational accuracy throughout complex operations. This reliability enables the development of long, sophisticated algorithms required for practical business applications, ranging from pharmaceutical molecular modeling to financial portfolio optimization. IBM's approach fundamentally differs from competitors through its focus on resource efficiency rather than raw qubit count. Competitive systems that use the surface code require about 2,000 physical qubits to create approximately 12 logical qubits. In comparison, IBM, using its quantum low-density parity check code, only requires about 200 physical qubits to enable 12 logical qubits. This means that IBM's qLDPC code is approximately 10X more efficient, and there are several codes within the qLDPC family of codes Google and other competitors continue pursuing surface code approaches that, while technically sound, requires a significant resource overhead for practical business applications. IBM's modular design provides another competitive advantage: incremental scalability. Rather than rebuilding entire systems to increase capacity, enterprises can leverage additional capacity in IBM quantum computing services as their computational needs evolve. The company's long track record of meeting its public quantum roadmap commitments demonstrates an execution capability that its venture-funded startups and research-focused competitors have yet to match. It's this steady execution of its quantum strategy that keeps the company in a leadership position within the quantum computing field. It's early days for quantum computing and the competitive landscape remains fractured. Startups like QuEra and PsiQuantum pursue different technical approaches but lack IBM's enterprise relationships and infrastructure capabilities. Google and Amazon possess the resources to compete, but they have not committed to IBM's aggressive commercialization timeline or its enterprise-focused architecture. IBM's existing enterprise relationships across pharmaceutical, financial, and manufacturing sectors provide immediate market access that competitors cannot replicate quickly. The company's cloud infrastructure and enterprise sales organization also offer distribution advantages that pure-play quantum startups lack entirely. 'Quantum advantage' is the ability for quantum computer to compute faster, more efficiently ore more accurately than classical computing alone. IBM's 2026 timeline for quantum advantage positions the company to capture early adopter revenue while competitors remain in development phases. The three-year lead time between quantum advantage and Starling's full deployment provides a competitive moat that will be difficult for competitors to breach. IBM's roadmap extends beyond Starling to Blue Jay, a 2,000-logical-qubit system capable of billions of operations. This progression is a clear demonstration of the company's commitment to quantum computing as a long-term business strategy rather than a research initiative. IBM's Quantum Computing Roadmap The quantum computing market is at an inflection point. IBM's Starling system will transform quantum computing from an expensive research curiosity into enterprise infrastructure that delivers measurable business value. This requires IBM to execute, but the company has built credibility by hitting every public milestone its put on its quantum roadmap. For executives evaluating quantum computing strategies, the question has shifted from whether quantum computing will impact their industries to how quickly they can integrate quantum capabilities into competitive advantage. Choosing a partner to help with that journey is a critical first step, with IBM taking an early leadership position. IBM's leadership should be no surprise. The company, after all, is the only in the industry to help enterprises navigate nearly every major transition in compute technology over the past sixty years. Quantum computing is simply the next transition.
Tahawul Tech
11-06-2025
- Business
- Tahawul Tech
'IBM is charting the next frontier in quantum computing, one that will solve real-world challenges.' – Arvind Krishna, IBM CEO
IBM has outlined its plans to build the world's first large-scale fault-tolerant quantum computer, which will ultimately pave the way 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 (10^48) 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. to suppress enough errors for useful algorithms to succeed. Able to prepare and measure logical qubits through computation. through computation. Capable of applying universal instructions to these logical qubits. to these logical qubits. Able to decode measurements from logical qubits in real-time and can alter subsequent instructions. and can alter subsequent instructions. Modular to scale to hundreds or thousands of logical qubits to run more complex algorithms. 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. 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 systems 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. , expected in , 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. , expected in , 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.
Trade Arabia
10-06-2025
- Business
- Trade Arabia
IBM to build first large-scale, fault-tolerant quantum computer
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 (10^48) 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," he noted. 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. According to IBM, the 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, it stated. 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, said the statement from IBM. Until today, a clear path to building such a fault-tolerant system without unrealistic engineering overhead has not been published. According to IBM, 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. 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, while the second one 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.
Al Bawaba
10-06-2025
- Business
- Al Bawaba
IBM Sets the Course to Build World's First Large-Scale, Fault-Tolerant Quantum Computer at New IBM Quantum Data Center
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 (10^48) 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. 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 systems 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.
Zawya
10-06-2025
- Business
- Zawya
IBM sets the course to build world's first large-scale, fault-tolerant quantum computer at new IBM Quantum Data Center
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 (10^48) of the world's most powerful supercomputers Dubai, United Arab Emirates – 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 (10^48) 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. 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 systems 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@ Brittany Forgione, IBM Communications
