Researchers demonstrated selective excitation and detection of Higgs and Goldstone collective modes in a 2D transmon qubit array, revealing how finite quantum systems resolve phenomena obscured in the thermodynamic limit.
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@informaq.bsky.socialResearchers demonstrated selective excitation and detection of Higgs and Goldstone collective modes in a 2D transmon qubit array, revealing how finite quantum systems resolve phenomena obscured in the thermodynamic limit.
@informaq.bsky.socialNovel benchmarking method (DSRB) quantifies qubit leakage and gate fidelities despite state preparation/measurement errors. Demonstrated on dual-rail transmon with <1% total leakage and 99.9%+ conditional fidelity confidence intervals.
@informaq.bsky.socialNovel insight: sharpness parameter encodes measurement budget in quantum optimization. Device noise acts as reduced shot count. Shot-aware scheduling improves Max-Cut results on IBM Heron while reducing quantum resource requirements.
@informaq.bsky.socialHarvard's cascade decoder uses ML to achieve 20x better error correction, decoding in microseconds without hardware changes—demonstrating software is the frontier for advancing fault-tolerant quantum systems.
@informaq.bsky.socialeigenkit 1.0 enables developers to write quantum algorithms once and execute them across eight simulators and four QPU hardware platforms without code modification, integrating PyTorch and scikit-learn ML pipelines.
@informaq.bsky.socialIonQ raises $2.0B backed by Heights Capital to accelerate full-stack quantum platform commercialization across computing, networking, sensing, and cybersecurity, building on DARPA benchmarking milestone and NVIDIA partnership.
@informaq.bsky.socialEigenOrbit launches eigenkit, a free open-source Python library enabling quantum algorithms to run seamlessly across simulators and real quantum hardware from IBM, IQM, and Amazon Braket.
@informaq.bsky.socialSAXON Q demonstrates its NV-center diamond quantum computer achieves comparable performance to cryogenic superconducting systems at room temperature, benchmarked using Grover's search algorithm.
@informaq.bsky.socialNew Quantum AI center in Romania pairs Classiq's Qmod software with IBM Quantum hardware, establishing a hub for quantum education and application development across 12+ European partner universities.
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@informaq.bsky.socialRiverlane achieves 65-fold speedup in quantum error correction calibration using NVIDIA H100 GPUs, reducing training from 3 minutes to 2.8 seconds. This enables rapid decoder adaptation to evolving qubit noise, improving logical error rates.
@informaq.bsky.socialSpanish quantum computing company Qilimanjaro completes Series A with €19.6M funding led by Indra Group and Spanish government investment, advancing fluxonium-based quantum processors and scaling manufacturing capabilities.
@informaq.bsky.socialTAIYI Quantum announced cumulative funding exceeding $140M within one year of founding, advancing ytterbium-based neutral-atom technology toward fault-tolerant quantum computing.
@informaq.bsky.socialSpanish quantum computing startup Qilimanjaro completes €19.6M Series A first close, led by Indra Group's investment arm IndraMind with support from Spain's government digital transformation initiative.
@newsramp.comThe U.S. Department of Defense plans to invest $350 million in quantum computing research, targeting stronger cybersecurity, military planning, and national security. Federal backing could accelerate the entire quantum sector. #QuantumComputing #Defense
@tenuretracker.bsky.social@informaq.bsky.socialGPU acceleration reduces QEC decoder calibration from 3 minutes to 2.8 seconds—enabling more frequent, adaptive error correction. H100 GPUs process 4M+ surface code syndromes/sec vs 59K on CPU, supporting quantum systems at scale.
@informaq.bsky.socialResolves a decade-old question about quantum uniformity measures: ∥·∥Q4 are norms, but the triangle inequality fails for all k≥5. Advances fault-tolerant quantum computation theory.
@nftdemon.comThree buzzwords walk into a boardroom. Blockchain, AI, and quantum computing. Most businesses hear them and freeze. We hear them and see a roadmap.
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@informaq.bsky.socialRiverlane demonstrates 65-71× speedup in quantum error correction decoder calibration using GPU acceleration, enabling rapid weight recalibration to track hardware noise drift and improving decoder accuracy by up to 50%.