Infleqtion Achieves 30 Entangled Logical Qubits on Sqale Neutral-Atom Quantum Processor

Infleqtion Achieves 30 Entangled Logical Qubits on Sqale Neutral-Atom Quantum Processor Neutral-atom quantum technology developer Infleqtion, Inc. (NYSE: INFQ) has demonstrated 30 entangled logical qubits on its commercial Sqale™ quantum computing platform. Announced at Quantum World Congress 2026, the breakthrough encodes 30 logical qubits into just 80 physical neutral-atom qubits using a low 8:3 physical-to-logical overhead ratio, fulfilling the company’s 2026 technical roadmap commitment and marking the largest logical qubit entanglement demonstrated on a commercial neutral-atom system to date. The achievement integrates Infleqtion’s Sqale neutral-atom QPU hardware with its Superstaq™ quantum software compilation stack. By combining optical tweezers for individual qubit addressing with dynamic atom shuttling for all-to-all logical connectivity, the system executed an Instantaneous Quantum Polynomial-time (IQP) benchmark circuit containing 1,000 physical operations (1 KiloQuOp)—including four non-Clifford logical CCZ gates. The experimental run returned valid target state sampling at roughly 1,000× above the uniform-random background noise baseline. [ Infleqtion Sqale 30-Logical-Qubit Benchmark & Architecture Metrics ]Hardware & Encoding StackAlgorithmic & Gate InnovationSoftware & QEC Loss Correction• Physical Scale: 80 Neutral Atoms• Logical Scale: 30 Logical Qubits• Qubit Allocation: 10 blocks of 8 atoms• Encoding Code: [[8,3,3]] / [[8,3,2]] QEC• AI-Discovered Gate: GPT 5.6 Sol double-CZ• Gate Savings: 4 physical 2Q gates (vs 8 standard)• Non-Clifford Gates: 4 Transversal Logical CCZ• Total Execution: ~1 KiloQuOp (1,000 ops)• Compilation Platform: Superstaq• Signal-to-Noise: ~1,000× baseline• Loss Correction: Post-processing parity reconstruction quadrupled valid shot yields• Sampling Baseline: 25% hit fraction across 1B+ Hilbert outcomes• Target Applications: Q4Bio Biomarker Discovery, GPU-trained QPU inference• Roadmap Scaling Target:– 100 Logical Qubits by 2028– 1,000 Logical Qubits by 2030 A key enabler of the demonstration was an AI-assisted logical circuit discovery generated using the GPT 5.6 Sol model. The AI identified a novel logical double-CZ entangling operation that reduced the physical gate overhead per logical entanglement from eight two-qubit gates down to four, requiring only 136 total physical two-qubit gates across the 30-qubit circuit. Additionally, software-based loss correction in Superstaq allowed post-processing algorithms to reconstruct missing X-basis measurement outcomes caused by atom loss events, effectively quadrupling the yield of successful circuit executions. The 30-logical-qubit capability is actively deployed across commercial and health-tech applications, including the Wellcome Leap Quantum for Bio (Q4Bio) program for GPU-trained biomarker discovery. The milestone positions Infleqtion toward its target of scaling to 100 logical qubits by 2028 and 1,000 logical qubits by 2030. Review the corporate announcement via Infleqtion Newsroom here and read the technical breakdown by CTO Pranav Gokhale on Infleqtion Technical Blog here. September 24, 2026 Mohamed Abdel-Kareem2026-09-24T23:26:33-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.