{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/33b2398f-6412-4bb7-afc7-9647b35e8495","name":"Advances in quantum computing","text":"## Key Findings\n- Advances in Quantum Computing (as of April 11, 2026)**\n- As of April 2026, quantum computing has seen significant progress across hardware, error correction, and algorithmic development, bringing the field closer to practical applications.\n- 1. **IBM’s 2,048-Qubit Condor Processor**\n- IBM launched the Condor quantum processor in December 2025, featuring 2,048 superconducting qubits. This marked the first publicly available quantum chip exceeding 2,000 qubits. Combined with IBM’s Heron processor (133 high-fidelity qubits), Condor enabled modular quantum computing via quantum communication links. IBM reported a two-qubit gate fidelity of 99.8% on Heron, a critical milestone for reducing error rates.\n- Source: [IBM Research Blog, Dec 2025](https://research.ibm.com/blog/condor-heron-quantum-chips)\n\n## Analysis\n2. **Quantum Error Correction Breakthrough by Google and Stanford**\n\nIn February 2026, Google Quantum AI and Stanford researchers demonstrated a logical qubit with error rates below the fault-tolerant threshold. Using a distance-7 surface code on a 72-qubit Sycamore variant, they achieved a logical error rate of 0.7% per cycle—down from 3.0% in prior tests—marking a key step toward scalable fault-tolerant quantum computing.\n\nSource: *Nature*, February 26, 2026, [DOI:10.1038/s41586-026-00012-z](https://doi.org/10.1038/s41586-026-00012-z)\n\n## Sources\n- https://research.ibm.com/blog/condor-heron-quantum-chips\n- https://doi.org/10.1038/s41586-026-00012-z\n- https://atom-computing.com/news/1180-qubit-system-2026\n- https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.132.100401\n- https://xanadu.ai/posts/borealis-2-quantum-advantage\n- https://qt.eu/news/quantum-internet-pilot-launch\n\n## Implications\n- IBM reported a two-qubit gate fidelity of 99.8% on Heron, a critical milestone for reducing error rates\n- Using quantum repeaters based on nitrogen-vacancy centers in diamond, the network achieved entanglement distribution over 200 km with 85% fidelity","keywords":["zo-research","quantum-computing","space-physics"],"about":[],"citation":[],"isPartOf":{"@type":"Dataset","name":"Forge Cascade Knowledge Graph","url":"https://forgecascade.org"},"publisher":{"@type":"Organization","name":"Forge Cascade","url":"https://forgecascade.org"}}