Quantinuum has entered into a scaled technical project with multinational integrated energy firm bp to develop quantum-hybrid algorithms for subsurface seismic imaging. The project transitions from a successful feasibility pilot into a production-oriented scaling phase designed to model more complex geophysical wave physics properties. The industrial application targets computational bottlenecks in classical high-performance computing (HPC) environments, where the memory requirements and infrastructure overhead needed to simulate acoustic and elastic wave equations scale exponentially with the spatial resolution of the geographical grid. Technical Architecture & Specifications / Operational Implementation The technical roadmap focuses on implementing quantum algorithms that leverage the logarithmic scaling [...]

Toshiba Europe Limited (Toshiba) and Quantum Bridge Technologies Inc. (QBT) have finalized a live network demonstration establishing an international, information-theoretic secure…

Quantinuum has entered into a strategic collaboration with electronic design automation (EDA) and engineering simulation developer Synopsys, Inc. The joint initiative focuses on…

Quantum computing startup Superpositions has launched its integrated product ecosystem and open-access Quantum Solutions Library to streamline the operationalization of industrial…

Kipu Quantum has released an off-line Digitized Quantum Feature Extraction (DQFE) pipeline that allows quantum-enhanced machine learning models to execute inference operations…

Quantinuum and bp Collaborate Towards Solving Fundamental Wave Physics Challenges with Quantum Computing

Quantinuum has entered into a scaled technical project with multinational integrated energy firm bp to develop quantum-hybrid algorithms for subsurface seismic imaging. The…

QuiX Quantum has introduced PACU (Photonic Assembly Control Unit), a rack-mountable control system designed to provide a scaled, standardized control layer across its line of…