@informaq.bsky.socialNovel phantom qLDPC families achieve maximal logical scaling k=Θ(log n) at any fixed distance with bounded sparsity. Phantom code recognition proven Graph Isomorphism-hard; establishes fundamental distance-check-weight tradeoffs at optimal scaling.
@informaq.bsky.socialNew algorithm enables exact, polynomial-time simulation of noisy logical magic state preparation protocols up to fault distance 7—a breakthrough for benchmarking fault-tolerant quantum computation without exponential scaling.
@informaq.bsky.socialStudy combines quantum error mitigation with GKP error correction, analyzing sampling overheads for Steane-type and teleportation-based approaches across square and hexagonal codes with finite squeezing.
@informaq.bsky.socialDiscovers infinite families of 3-designs from linear and nonlinear codes with applications to quantum error-correcting codes and distributed storage systems, achieving optimal locality and distance properties.
@informaq.bsky.socialNew Cluster-As-You-Go decoder processes syndrome data during measurements, reducing post-measurement idle time. Achieves improved speed-accuracy tradeoff for surface codes—key for scaling fault-tolerant quantum computation toward practical systems.
@informaq.bsky.socialQC Design partners with NVIDIA to enable quantum hardware teams to accurately simulate fault-tolerant quantum computing architectures, including lattice surgery and logical protocols, with realistic physics-based models.
@informaq.bsky.socialCollaboration demonstrates quantum error correction (qLDPC) architecture on spin qubits via NVIDIA CUDA-Q platform, preserving logical performance advantages across hardware platforms.
@informaq.bsky.socialSurface code error correction improves quantum processor protection even on systems with incompatible physical layouts, demonstrated on IBM Heron through collaborative research published in Nature Communications.
@informaq.bsky.socialNVIDIA's CUDA-Q Logical compiler automatically adapts to different quantum error correction codes without manual recoding, preserving semantic information for improved verification and resource analysis.
@informaq.bsky.socialResearchers extended Pauli Check Sandwiching to qudits, achieving 97.5% fidelity across dimensions 2–9. This generalizes quantum error detection beyond qubits to higher-dimensional systems, enabling greater information density in quantum computing.
@informaq.bsky.socialFastSched combines reinforcement learning with importance sampling to optimize quantum error correction syndrome extraction, achieving 25.9% average logical error rate reduction versus AlphaSyndrome and 71.7% versus PropHunt.
@informaq.bsky.socialQC Design and NVIDIA integrated Plaquette with CUDA-Q Logical to enable realistic fault-tolerant quantum simulation under physical noise models. A verification study showed 0.2% qubit leakage degrades theoretical error thresholds by ~60%.
@informaq.bsky.socialIQM integrated NVIDIA CUDA-Q Logical into its 150-qubit Halocene QEC system, enabling standardized benchmarking of fault-tolerant quantum error correction algorithms across heterogeneous backends with real-time GPU-based decoding co-processing.
@informaq.bsky.socialBlueQubit launches $150K compute grant program supporting quantum algorithm discovery, error correction research, and quantum advantage verification across IBM QPU, NVIDIA GPU, and classical simulation infrastructure.
@informaq.bsky.socialIceberg and Diraq validate Pinnacle qLDPC error correction on silicon spin qubits, achieving 1,000 logical qubits from 150,000 physical qubits—matching theory within 5%. Electron shuttling enables localized connectivity without global wiring.
@informaq.bsky.socialInfleqtion & NVIDIA create end-to-end QEC pipeline using hypergraph-product qLDPC codes, achieving 18.4% encoding efficiency—5× less physical qubit overhead than surface codes.
@informaq.bsky.socialNovel protocol achieves cubic error suppression in magic state preparation, reducing resource overhead to 19 qubits and 82 CNOTs through optimized stabilizer-generator design for fault-tolerant quantum computation.
@informaq.bsky.socialCombines error detection with probabilistic error cancellation using spacetime Pauli-Lindblad framework to mitigate logical errors with up to 63× lower sampling overhead, validated on IBM's superconducting quantum processor.
@informaq.bsky.socialQedma's QESEM error mitigation software now integrates with NVIDIA CUDA-Q, initially supporting Quantinuum hardware with expansion to additional quantum platforms planned.
@informaq.bsky.socialInfleqtion integrates open-source qLDPC quantum error correction library with NVIDIA's CUDA-Q Logical, enabling advanced QEC research on neutral-atom quantum computing systems.