@informaq-de.bsky.socialDie Grenze des Quantenvortails verschiebt sich ständig, da klassische Algorithmen verbessert werden. Der Weg nach vorne: Hybrid-Quanten-Klassische Workflows mit Quantenkernen für spezifische Berechnungsschritte, nicht für ganze Probleme.
@informaq.bsky.socialThe frontier of quantum advantage keeps moving as classical algorithms improve. The path forward: hybrid quantum-classical workflows using quantum kernels for specific computational steps, not entire problems.
@informaq.bsky.socialFirst end-to-end demonstration of multi-modality quantum-HPC workflows integrating trapped-ion and superconducting QPUs with the Fugaku supercomputer through the Tierkreis workflow management system for coordinated hybrid computing.
@informaq.bsky.socialNovel divide-et-impera training method decomposes quantum neural networks into smaller components, reducing qubit requirements while maintaining performance on real-world tasks like EV charging prediction and air quality forecasting.
@informaq.bsky.socialQuantum processors are now operating as specialized accelerators alongside GPUs in production HPC environments. Multi-user, multi-QPU systems with extended resource managers like SLURM represent the next phase of supercomputing architecture.
@informaq.bsky.socialDr. Kai Voges at Leibniz University Hannover launches research group bridging competing quantum computing paradigms—ion traps, Rydberg atoms, and superconducting circuits—through hybrid system integration to advance practical quantum technology.
@informaq-de.bsky.socialNeues €5,8-Millionen-HybriQCS-Projekt an der Leibniz-Universität kombiniert ultrakalte Moleküle und Rydberg-Atome zum Aufbau von hybriden Quantenprozessoren, um die ersten Zwei-Qubit-Gatter zu realisieren, die beide Quantenplattformen zusammenbringen.
@informaq.bsky.socialNew €5.8M HybriQCS project at Leibniz University combines ultracold molecules and Rydberg atoms to build hybrid quantum processors, aiming to execute first two-qubit gates merging both quantum platforms.
@informaq.bsky.socialThailand's Chulalongkorn University and South Korean Qunova Computing partner on hybrid quantum-classical algorithms for industrial applications in chemistry, materials science, and finance via cloud-based QPU access.
@informaq.bsky.socialDiraq and Dell deploy co-located hybrid systems with low-latency classical-quantum integration, enabling real-time feedback for silicon spin qubits. Initial testing validates orchestration for automated calibration and error correction workflows.
@informaq.bsky.socialHybrid quantum computing shows promise for industrial design. IonQ and Synopsys research demonstrates quantum algorithms integrated with mainstream engineering software can accelerate complex simulations by up to 14.6%.
@informaq.bsky.socialOQC and Trust Base found near-term quantum value emerges from disciplined benchmarking and hybrid classical-quantum architectures, not quantum alone. Physics-Informed Neural Networks deliver immediate gains for derivative pricing and risk assessment.
@informaq.bsky.socialHybrid quantum-classical network with feature-adaptive fusion achieves superior accuracy and robustness to image noise on medical benchmarks, demonstrating that quantum circuits can provide complementary information when properly integrated.
@informaq.bsky.socialQuantumOps platform automates optimal placement of quantum circuits within classical HPC workflows. Framework demonstrated using hybrid cGAN for catalyst material discovery, integrating with 32-qubit Qmio superconducting QPU.
@informaq-de.bsky.socialBQP sichert sich $8M von IBM Ventures, um BQPhy zu kommerzialisieren, eine Hybrid-Quanten-klassische Plattform, die GPU-Arbeitslasten um bis zu 10x beschleunigt und 85% der Rechnenineffizienz in klassischen HPC-Systemen löst.
@informaq.bsky.socialBQP secures $8M from IBM Ventures to commercialize BQPhy, a hybrid quantum-classical platform that accelerates GPU workloads up to 10x, resolving 85% computational inefficiency in classical HPC.