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Home/MODELS/New Quantum Computing Breakthrough: IBM Achieves 1,121-Qubit Processor
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New Quantum Computing Breakthrough: IBM Achieves 1,121-Qubit Processor

IBM’s new Condor quantum processor breaks the 1,000-qubit barrier with 1,121 qubits and 25% better error rates, marking a critical milestone toward practical quantum computing applications.

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Marcus Chen
Jun 18•2 min read
New Quantum Computing Breakthrough: IBM Achieves 1,121-Qubit Processor
24.5KTrending

IBM has unveiled the Condor quantum processor, a groundbreaking 1,121-qubit system that represents the largest quantum computing chip ever built. Announced in December 2023 at the IBM Quantum Summit, this breakthrough pushes beyond the 1,000-qubit threshold that researchers considered a critical milestone for practical quantum advantage. The Condor processor demonstrates a 25% improvement in error rates compared to IBM’s previous 433-qubit Osprey system, bringing quantum computing closer to solving real-world problems in drug discovery, materials science, and cryptography.

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What Makes This Quantum Computing Breakthrough Significant?

The Condor processor’s significance lies in its scale and improved coherence times, which now exceed 200 microseconds. This extended stability allows for more complex calculations before quantum states collapse. IBM achieved this by implementing a new hexagonal qubit layout that reduces crosstalk between qubits by 40%, addressing one of quantum computing’s most persistent challenges: maintaining quantum coherence at scale.

How Does This New Quantum Technology Work?

IBM’s Condor uses superconducting transmon qubits cooled to 15 millikelvin—colder than outer space. The hexagonal architecture spaces qubits more efficiently than previous square lattice designs, allowing denser packing without sacrificing performance. Each qubit connects to its neighbors through tunable couplers, enabling the processor to execute quantum gates with 99.9% fidelity. This architecture supports quantum error correction codes that require hundreds of physical qubits to create a single logical qubit, essential for fault-tolerant quantum computing.

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Marcus Chen
Written by

Marcus Chen

Marcus Chen is DailyTech's senior AI and technology analyst with 8+ years covering the intersection of artificial intelligence, cloud computing, and emerging tech. He tracks every major AI release — from OpenAI's GPT series and Anthropic's Claude, to Google Gemini and Meta's Llama — alongside the developer tools reshaping how software is built. His expertise spans large language models, AI safety research, AGI roadmaps, and the economics of compute infrastructure. Before joining DailyTech, Marcus spent years analyzing technology markets and following AI breakthroughs through both research papers and product launches. He personally tests new AI tools, attends industry conferences (NeurIPS, ICML, AI Summit), and reads every model card and arXiv preprint covering frontier AI. When not writing about the latest reasoning model or RAG architecture, Marcus is building side projects with the AI tools he reviews — first-hand testing the workflows he writes about for readers.

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