Mohamed Abdel-Kareem

End-to-end QPE circuit with our custom MPS-to-circuit compiler to address state preparation. Silicon spin hardware developer Quantum Motion and computing platform NVIDIA have partnered to address the state preparation problem, a major initialization bottleneck that challenges end-to-end quantum advantage in molecular simulation. While quantum hardware can refine complex calculations to precisions that exceed classical computing limits, algorithms like Quantum Phase Estimation (QPE)—the gold standard for analyzing electronic ground states—require a highly accurate "guide state" input to execute successfully. If the initial data embedding is coarse or poorly configured, the algorithm cannot extract useful information, leading to an exponential drain on physical [...]

The financial sector depends heavily on resolving dense computational problems associated with portfolio risk management and asset pricing. As portfolios expand and market conditions introduce complex variables, classical computational overhead increases exponentially. To address these scaling bottlenecks, software developer Classiq and computing platform NVIDIA have integrated Classiq's high-level quantum modeling language with the NVIDIA CUDA-Q hybrid development stack. This unified environment automates the conversion of standard financial mathematical abstractions into hardware-optimized quantum circuit targets, utilizing graphics processing unit (GPU) acceleration to execute iterative algorithms. Combinatorial Asset Selection via Variational Optimization Portfolio allocation optimization selects k assets from a universe of N [...]

Insurance provider Allstate and technology developer IBM have demonstrated that quantum computing can optimize risk portfolios and resolve severe computational challenges within the underwriting sector. Published as a pre-print in mid-2026, the joint investigation addresses the chance-constrained knapsack problem, an notoriously difficult class of combinatorial optimization tasks in computer science. The operational objective mirrors the primary core task of insurance underwriting: identifying the most profitable combination of policies to pack into a corporate portfolio without exceeding a maximum allowable risk and loss limit. While standard knapsack problems are difficult for classical systems to solve at scale, the problem becomes exponentially harder [...]

FirstQFM QRC platform overview Stockholm-based startup FirstQFM has unveiled a machine learning platform that utilizes patent-pending quantum foundation models (QFMs) to optimize Quantum Reservoir Computing (QRC) systems for high-value enterprise forecasting. Announced at the ISC High Performance 2026 conference in Germany, the breakthrough demonstrates an immediate application for Noisy Intermediate-Scale Quantum (NISQ) devices. By moving beyond traditional, fixed-reservoir designs that are prone to environmental drift and hardware vulnerabilities, FirstQFM's platform generates localized, task-specific quantum feature layers. This system achieved a 56.1% series-level win rate in zero-shot predictive accuracy when benchmarked against leading classical time-series models. [ Financial Time-Series ] ──► [ [...]

Traditional cloud-style QPU access. Each iteration traverses cloud APIs, queues and schedulers before reaching the QPU. French photonic quantum computing developer Quandela has experimentally validated a low-latency hardware integration path that connects its photonic Quantum Processing Units (QPUs) directly with NVIDIA accelerated high-performance computing (HPC) infrastructure. Presented at the ISC High Performance 2026 conference in Hamburg, Germany, the architecture moves beyond traditional cloud-hosted application programming interfaces (APIs) and asynchronous job queues. By leveraging the NVIDIA NVQLink interconnect, the milestone establishes a collocated, real-time hybrid computing pipeline where a quantum processor functions as a tightly coupled hardware accelerator alongside GPU clusters. Eliminating [...]

UK-based photonic quantum computing company Aegiq has unveiled a series of technical milestones that integrate artificial intelligence and tensor network mathematics into its hardware operations and high-performance computing (HPC) software stacks. Deployed across the company’s first-generation quantum processing unit (QPU) and hybrid software libraries, these developments address key scalability bottlenecks in hardware stability and computational fluid dynamics (CFD). By leveraging NVIDIA’s specialized AI frameworks and accelerated architecture, the firm has demonstrated automated system optimization alongside logarithmic scaling models capable of handling extreme-scale engineering data. Automated system optimization via Vision-Language Models Quantum computing platforms are structurally sensitive to environmental noise and hardware [...]

UK-based photonic quantum computing developer Aegiq has opened its new corporate headquarters in Sheffield, establishing a localized center of excellence dedicated to scaling its full-stack quantum hardware platform. The operational expansion aligns with Aegiq's multi-million-pound investment roadmap over the next five years, which is projected to introduce highly skilled engineering, graduate, and early-career roles to South Yorkshire's advanced manufacturing corridor. Supported by the UK Government’s £2 billion national quantum capability framework, the facility anchors Aegiq within a sovereign domestic supply chain focused on delivering hardware-native quantum simulation, secure telecommunications, and defense-sector computing platforms. Epitaxial Substrate Growth and Accelerated learning Cycles To [...]

UK-based photonic quantum computing company Aegiq has secured a series of international research partnerships and industrial defense collaborations designed to transition its full-stack hardware platform from laboratory prototypes toward volume manufacturing. By coordinating dual-use engineering projects across the UK, Germany, and the Netherlands, the company is assembling a sovereign supply chain for scalable photonic components. These collaborative initiatives focus on optimizing automated micro-assembly, compacting chip-level signal generation, and mitigating structural insertion losses within distributed quantum communication networks and advanced engineering simulation testbeds. Automated Micro-Assembly and Sovereign Chip Production Aegiq has formally extended its research and development partnership with the Fraunhofer Centre [...]

The RIKEN Center for Computational Science (R-CCS) has completed the installation and initiated the operational launch of its new supercomputer, "ROQUO," at its campus in Kobe, Japan. Developed under a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO), the system serves as the high-performance computing (HPC) backbone for Japan’s national hybrid computing initiative. The platform is designed to establish a unified infrastructure that seamlessly bridges classical supercomputing acceleration with physical quantum processors, addressing advanced computational workloads that cannot be resolved by traditional architectures alone. The system's technical architecture consists of 135 compute nodes equipped with the NVIDIA [...]

Quantum Computing Inc. (QCi) has completed the acquisition of advanced packaging foundry NHanced Semiconductors, Inc. for a combination of cash and stock valued at $73.1 million. The transaction includes up to an additional $72.0 million in potential payouts if specific performance targets are achieved. The acquisition marks a transition for QCi from research-driven prototyping to scalable commercial manufacturing, establishing a vertically integrated pipeline that spans development through chip fabrication. Moving forward, NHanced will operate as a wholly owned subsidiary of QCi, maintaining services for its existing customer base while integrating into QCi's broader quantum optics and photonics roadmap. The acquisition effectively [...]