Ibm Reveals Plan To Build World S First Fault Tolerant Quantum Compute

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,... June 10 2025 IBM made a landmark announcement outlining a clear path to build the world’s first large-scale, fault-tolerant quantum computer by the year 2029. Codenamed IBM Quantum “Starling,” this planned system will leverage a new scalable architecture to achieve on the order of 200 logical (error-corrected) qubits capable of executing 100 million quantum gates in a single computation. IBM’s quantum leaders described this as “cracking the code to quantum error correction” – a breakthrough turning the long-held dream of useful quantum computing from fragile theory into an engineering reality. IBM used the occasion of quantum computing roadmap update to declare that it now has “the most viable path to realize fault-tolerant quantum computing” and is confident it will deliver a useful, large-scale quantum...

The centerpiece of this plan is IBM Quantum Starling, a new processor and system architecture that IBM says will be constructed at its Poughkeepsie, NY facility – a site steeped in IBM computing history. Starling is slated to feature about 200 logical qubits (quantum bits protected by error correction) spread across a modular multi-chip system, rather than a single huge chip. According to IBM, Starling will be capable of running quantum circuits with 100 million quantum gate operations on those logical qubits. For context, that is orders of magnitude beyond what today’s noisy intermediate-scale quantum (NISQ) processors can reliably do. IBM emphasizes that achieving this will mark the first practical, error-corrected quantum computer – a machine able to tackle real-world problems beyond the reach of classical supercomputers, thanks to its scale and reliability. A core theme of IBM’s announcement is the transition from today’s “fragile, monolithic” chip designs toward modular, scalable, error-corrected systems.

Up to now, IBM (and most industry players) built quantum processors on single chips with qubits laid out in a planar array (IBM’s 127-qubit Eagle and 433-qubit Osprey chips are examples). These monolithic chips are limited in size and are not error-corrected – more qubits tend to introduce more noise. IBM’s new approach with Starling is modular quantum hardware: multiple smaller chips or modules will be interconnected via quantum links, allowing qubits in different modules to interact as if on one chip. IBM previewed this modular design with its IBM Quantum System Two infrastructure and experiments like the “Flamingo” coupler that demonstrated microwave links between chips. By distributing qubits across replaceable modules connected quantumly, IBM can scale to much larger qubit counts than a single chip can support. Crucially, this modularity is paired with long-range entanglement – qubits on different chips can be entangled through couplers, overcoming the short-range connectivity limitations of a 2D chip lattice.

IBM’s 2025 roadmap calls for a stepwise implementation of this modular architecture: for example, IBM Quantum “Loon” (expected in 2025) will test the new inter-chip couplers and other components, followed by Kookaburra (2026) to... All these lead up to Starling as the first full-scale fault-tolerant system in 2028–2029. In short, IBM is moving from building bigger single chips to building better systems of chips – a modular quantum compute unit that can be expanded piece by piece. Perhaps the most significant technical breakthrough underpinning IBM’s plan is its quantum error correction (QEC) scheme. Rather than the well-known “surface codes” used by others (which arrange qubits in a 2D grid with local redundancy), IBM is betting on quantum low-density parity-check (LDPC) codes – specifically a family of codes... In simple terms, QEC works by encoding one “logical” qubit of information into many physical qubits, so that if some of the physical qubits get corrupted by noise, the logical information can still be...

Surface codes typically might need on the order of ~1,000 physical qubits to encode 1 logical qubit at an error rate suitable for large algorithms. IBM’s new LDPC-based code is far more resource-efficient: for example, one instance encodes 12 logical qubits in 288 physical qubits (a [[144,12,12]] code), achieving the same error suppression as surface code but with an... This is a game-changer for scalability – it means far fewer physical qubits are required to achieve a given computing capability. IBM’s Vice President of Quantum, Dr. Jay Gambetta, boldly stated, “We’ve cracked the code to quantum error correction”, describing the new architecture as “an order of magnitude or more more efficient” than surface-code-based approaches. By combining these LDPC codes with the modular hardware (which provides the long-range connectivity the codes require), IBM’s “bicycle architecture” can create logical qubits that are robust against errors without impractical overhead.

The bottom line: IBM’s Starling will use error-corrected logical qubits from day one, not just raw physical qubits. IBM believes this development cracks the last big scientific hurdle and that nothing fundamentally unknown remains – it’s now a matter of engineering scale and integrating the system. Overall, IBM’s June 2025 news marks a pivot point in quantum computing. The company has publicly committed to a deadline – a 200-logical-qubit fault-tolerant quantum computer by 2029 – and backed it up with a detailed roadmap of intermediate milestones and a stack of research results... They are moving beyond incremental qubit count increases toward a full stack redesign: new codes, new chips, new interconnects, new cryogenic infrastructure, and co-designed software (IBM’s updated Qiskit Runtime and error mitigation tools were... This cohesive effort has led analysts to note that IBM appears to have “solved the scientific obstacles to error correction” and now holds “the only realistic path” toward building such a machine on the...

In the next section, we’ll analyze what this breakthrough means for the wider industry and, critically, for cybersecurity experts who worry about quantum threats to encryption. IBM Corp. today revealed its expected roadmap for building the world’s first large-scale, fault-tolerant quantum computer, which would enable scaling up quantum computing for real-world practical results. The technology giant said it expects to be able to deliver the platform in 2029. The new computing system, dubbed IBM Quantum Starling, will be built at the company’s campus in Poughkeepsie, New York, and is expected to perform 20,000 times more operations than today’s quantum computers. According to the company, this new platform would require the memory of more than a quindecillion of the world’s most powerful supercomputers, that’s a number equal to a 1 with 48 zeros after it.

“IBM is charting the next frontier in quantum computing,” said Chief Executive Arvind Krishna. “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.” Problems that can take a classical computer months or years to solve, a quantum computer can solve in minutes. That makes them ideal for working on problems such as drug discovery, genetics, and materials science. Quantum processors use qubits, or quantum bits, a fundamental unit of information similar to a bit in classical computing. The quantum computer, called Starling, will use 200 logical qubits — and IBM plans to follow this up with a 2,000-logical-qubit machine in 2033

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. IBM scientists say they have solved the biggest bottleneck in quantum computing and plan to launch the world's first large-scale, fault-tolerant machine by 2029. The new research demonstrates new error-correction techniques that the scientists say will lead to a system 20,000 times more powerful than any quantum computer in existence today. In two new studies uploaded June 2 and June 3 to the preprint arXiv server, the researchers revealed new error mitigation and correction techniques that sufficiently handle these errors and allow for the scaling... IBM has just made a major announcement about its plans to achieve large-scale quantum fault tolerance before the end of this decade.

Based on the company’s new quantum roadmap, by 2029 IBM expects to be able to run accurate quantum circuits with hundreds of logical qubits and hundreds of millions of gate operations. If all goes according to plan, this stands to be an accomplishment with sweeping effects across the quantum market — and potentially for computing as a whole. In advance of this announcement, I received a private briefing from IBM and engaged in detailed correspondence with some of its quantum researchers for more context. (Note: IBM is an advisory client of my firm, Moor Insights & Strategy.) The release of the new roadmap offers a good opportunity to review what IBM has already accomplished in quantum, how it... First, we need some background on why fault tolerance is so important. Today’s quantum computers have the potential, but not yet the broader capability, to solve complex problems beyond the reach of our most powerful classical supercomputers.

The current generation of quantum computers are fundamentally limited by high error rates that are difficult to correct and that prevent complex quantum algorithms from running at scale. While there are numerous challenges being tackled by quantum researchers around the world, there is broad agreement that these error rates are a major hurdle to be cleared. In this context, it is important to understand the difference between fault tolerance and quantum error correction. QEC uses specialized measurements to detect errors in encoded qubits. And although it is also a core mechanism used in fault tolerance, QEC alone can only go so far. Without fault-tolerant circuit designs in place, errors that occur during operations or even in the correction process can spread and accumulate, making it exponentially more difficult for QEC on its own to maintain logical...

Reaching well beyond QEC, fault-tolerant quantum computing is a very large and complex engineering challenge that applies a broad approach to errors. FTQC not only protects individual computational qubits from errors, but also systemically prevents errors from spreading. It achieves this by employing clever fault-tolerant circuit designs, and by making use of a system’s noise threshold — that is, the maximum level of errors the system can handle and still function correctly. Achieving the reliability of FTQC also requires more qubits.

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