IBM aims to build the first large-scale, error-correcting quantum computer by 2028

Quantum Leap: The Race to Build a Fault-Tolerant Supercomputer. Imagine a race where the finish line is not just faster computation, but a fundamental change in what computers can achieve. A bold vision is taking shape: by 2028, a powerful new quantum computer called Starling is set to emerge—a machine designed not just to calculate, but to correct its own mistakes, operating at a scale and reliability never seen before. The world of quantum computing is notoriously tricky. Unlike classical computers that use bits, quantum computers rely on qubits, which can exist in a blend of states. This makes them incredibly powerful in theory, but also prone to errors. Even a small disturbance can send calculations off track, and until now, these errors have been the Achilles’ heel of every quantum system. Starling aims to shatter this barrier. Housed in a dedicated data center, it will be built from interconnected modules, each brimming with superconducting qubits chilled almost to absolute zero. What sets Starling apart is its ambition to be the first large-scale quantum machine to implement robust error correction. Rather than relying on a single qubit for each bit of information, Starling will use clusters of qubits—called logical qubits—to catch and fix mistakes as they happen. This approach draws on a new error correction code that balances efficiency with feasibility, using twelve physical qubits to secure one logical unit. But it’s not just about catching errors. Starling’s architecture is designed for real-time diagnosis. Thanks to lightning-fast decoding algorithms running on specialized traditional chips, the system can spot and correct faults as they occur, maintaining the integrity of millions of operations in succession. This is a giant leap from previous experiments, which have only managed to stabilize a single logical qubit at a time. The stakes are high. If Starling succeeds, it could unlock new horizons in fields like drug discovery and material science, simulating complex molecules with precision impossible for today’s machines. Yet, challenges remain. Some experts warn that even with 200 logical qubits and the ability to perform 100 million accurate operations, the machine may not yet crack real-world problems—some believe a billion operations might be necessary for practical applications. The journey to Starling is plotted in stages. Starting with smaller prototypes that store information, the project will evolve through increasingly complex modules, each building confidence and capability. The approach reflects a new trend: modular quantum computing, where power comes from connecting many smaller units rather than cramming more qubits onto a single chip. And this is just the beginning. Plans are already in motion for an even bigger machine, Blue Jay, boasting ten times the logical qubits and a billion operations in its sights. The vision is clear: to move from laboratory curiosities to real-world engines of discovery, rewriting what’s possible across science and industry. The race is on, and with Starling, the world edges closer to a future where quantum computers are not just dreams, but dependable partners in solving humanity’s biggest puzzles.