eigenkit 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.social
@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.socialOpenMQPI integrates quantum circuit compilation into OpenMP's target-offloading model via MLIR, achieving competitive runtime performance by preserving circuit representations for quantum-specific optimizations across VQE, QFT, and Deutsch–Jozsa algorithms.
@informaq.bsky.socialClassiq integrates with the Israeli Quantum Computing Center to enable researchers to develop and execute quantum applications across multiple qubit modalities through unified hardware-aware software synthesis and HPC job orchestration.
@informaq.bsky.socialClassiq partners with Alpine Quantum Technologies to deliver a unified quantum design-to-execution platform, combining automated circuit optimization software with AQT's high-fidelity, fully-connected ion-trap quantum systems for enterprise and research applications.
@informaq.bsky.socialClassiq introduces Qmod, a high-level quantum programming language that abstracts away gate-level complexity, enabling developers to express quantum algorithms with classical-like syntax and multiple arithmetic modes.
@informaq.bsky.socialQuantum Elements' Constellation platform earns TMCnet recognition as a hardware-aware development environment designed to accelerate the path to fault-tolerant quantum computing.
@informaq-de.bsky.socialEin strenger mathematischer Rahmen für fermionisches Quantencomputing kombiniert premonoidale Kategorien mit skalierbaren diagrammatischen Sprachen und ermöglicht Schaltkreiskompilation sowie Normalformen für praktische Optimierung.
@informaq.bsky.socialRigorous mathematical framework for fermionic quantum computing combines premonoidal categories with scalable diagrammatic languages, enabling circuit compilation and normal forms for practical optimization.
@informaq.bsky.socialZapata Quantum raised $15M in funding and restructured to focus on quantum software applications. With $93M total raised, the company aims to close the gap between rapidly advancing quantum hardware and practical application development.
@informaq.bsky.socialZapata Quantum launches Quantum Pilot, a cloud platform helping enterprises identify high-value quantum applications through formal verification and AI-driven resource estimation, avoiding vendor lock-in.
@informaq.bsky.socialAgenticOS automates quantum computing research through specialized AI agents with safeguards against model drift. Demonstrated 75% circuit depth reduction on IBM hardware and validated quantum chemistry simulations within 3.4% accuracy of exact solutions.
@informaq.bsky.socialEclipse Qrisp, an open-source quantum programming framework by Fraunhofer FOKUS, won the Quantum Effects Award 2026 for Quantum Computing Software & Algorithms, advancing high-level quantum application development.
@informaq.bsky.socialCisco's Quantum Network Controller research prototype automates quantum network management, eliminating manual configuration and transforming quantum devices into programmable infrastructure.
@informaq.bsky.socialQuantum computing will scale through abstraction, not hardware alone. Domain-specific languages and intelligent compilers will democratize quantum programming as BASIC did for classical computing, expanding beyond specialists.
@eclipse.org📣 Eclipse Qrisp has won the Quantum Effects Award 2026 in the Quantum Computing Software & Algorithms category.
Read the full press release ➡️ newsroom.eclipse.org/news/announc...
Join the Eclipse Qrisp Community Day on 29 October ➡️ qrisp.eu/general/comm...
@informaq.bsky.socialCisco introduces Quantum Network Controller and Network-Aware Quantum Compiler prototypes to simplify coordination and operation of connected quantum machines in larger quantum networks.
@informaq.bsky.socialUniversity of Edinburgh's Quantum Software Lab surged to 70+ researchers and launched £20M QATCH programme to translate quantum theory into practical applications through industry collaboration and real hardware testing.
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@informaq.bsky.socialClassiq announced a Fault Tolerance Engine that translates optimized quantum programs into fault-tolerant execution plans and measures physical resources and reliability requirements for real quantum hardware deployment.
@informaq.bsky.socialZapata Quantum's new Quantum Pilot platform automates quantum application discovery and resource estimation, with formal verification for multiple hardware architectures. It benchmarks against classical computing to ensure quantum advantage.