Mohamed Abdel-Kareem

The Natural Sciences and Engineering Research Council of Canada (NSERC) and the National Research Council of Canada (NRC) have announced over CA$11 million ($7.6 million USD) in funding to support six collaborative research projects aimed at advancing the industrial readiness of quantum sensing technologies. These projects are aligned with the National Quantum Strategy (NQS), focusing on early adoption of quantum sensors across key Canadian industries and government applications. The initiative combines NSERC’s Alliance Quantum grants for university researchers with NRC’s Quantum Sensors Challenge program, where NRC scientists will participate directly in the research. In parallel, Canadian small- and medium-sized enterprises (SMEs) [...]

QuantWare and QuantrolOx have announced a joint solution that enables researchers to rapidly develop quantum error correction capabilities using QuantWare’s Contralto-A quantum processor and QuantrolOx’s Quantum EDGE automated tune-up platform. Contralto-A supports up to 17 transmon qubits with tunable couplers, nearly doubling the size of comparable commercial systems and enabling distance-3 surface code implementations. The system is built for scalability through QuantWare’s VIO technology, and includes optional expert training for researchers building fault-tolerant systems. The integration with Quantum EDGE automates the QPU calibration and tune-up process, traditionally requiring weeks of expert effort. Using QuantWare’s hardware, QuantrolOx demonstrated fully automated QPU characterization [...]

NVIDIA and QuEra have developed a transformer-based AI decoder to improve quantum error correction (QEC) by significantly accelerating and scaling the decoding process. Built using the NVIDIA CUDA-Q platform, this decoder surpasses state-of-the-art most-likely error (MLE) decoders in both performance and scalability. Benchmarking on QuEra’s neutral atom quantum processing unit (QPU) demonstrated the AI decoder’s ability to process error syndromes with higher accuracy, lower latency, and increased fault tolerance, making it a crucial step toward practical, large-scale quantum computing. The NVIDIA AI decoder addresses the key bottleneck in QEC decoding, where error syndromes from multiple physical qubits must be processed in [...]

Q-CTRL, in partnership with NVIDIA and Oxford Quantum Circuits (OQC), has demonstrated a 500,000x reduction in classical compute costs for quantum error suppression tasks by leveraging NVIDIA GPUs and accelerated libraries. The work focuses on optimizing the layout ranking process, a computationally intensive step in mapping abstract quantum circuits to physical qubits. This process involves evaluating potential mappings while accounting for qubit connectivity constraints and hardware performance variations, which becomes exponentially complex as qubit counts scale. The team developed GPU-accelerated implementations of the layout ranking process using NVIDIA’s RAPIDS and cuDF libraries. These implementations employ two levels of parallelism: (1) layout-level parallelism, where multiple circuit layouts are [...]

Pasqal has published new research exploring the performance of its neutral atom quantum processors on combinatorial optimization problems, with a focus on creating realistic, classically hard benchmarks. Recognizing the limitations of earlier speedup claims based on oversimplified problems, the study emphasizes the need for rigorous benchmarking against classical solvers used in production. The team applied its methodology to the Maximum Independent Set (MIS) problem on unit-disk graphs—a challenge that appears in fields like wireless networks and molecular design. This research is the first in a three-part series intended to clarify when and how quantum hardware can achieve a practical advantage. The [...]

QC Design has announced a major performance breakthrough in its quantum fault-tolerance design software, Plaquette, through integration with NVIDIA’s cuQuantum SDK. The update leverages cuTensorNet to enable high-performance, full-state simulations of fault-tolerant quantum circuits. As a result, Plaquette can now simulate over 400 qubits on a single NVIDIA RTX 4000 Ada GPU with 20GB memory—an improvement over current CPU-based Monte Carlo simulators, which typically simulate only ~60 qubits using 120GB of RAM. The GPU-accelerated simulations also deliver significant performance gains. Plaquette achieves at least a 180x speedup in sampling throughput for 60-qubit circuits compared to CPU-based alternatives, making it viable to [...]

IonQ and Ansys have reported a practical instance of quantum computing outperforming classical computation in a real-world engineering workflow. The demonstration involved running a fluid dynamics simulation related to blood pump design using a hybrid quantum-classical approach on IonQ’s production system. Compared to a fully classical implementation, the quantum-assisted workflow achieved a 12% improvement in processing performance, marking one of the first published cases of quantum speedup in a commercially relevant application. The experiment utilized IonQ Forte, IonQ’s latest trapped-ion quantum system, to assist with solving a graph optimization subroutine in the Ansys LS-DYNA software. The quantum-enhanced simulation processed a model [...]

Delft Circuits has introduced a turnkey High-Density Input/Output (HD I/O) system designed to overcome one of the key bottlenecks in utility-scale quantum computing: cryogenic wiring scalability. Traditional coaxial cabling requires a linear increase in cryostat wiring as qubit counts grow, leading to thermal, spatial, and integration limitations. Delft’s new system delivers 256 control channels per module—a significant increase over the 168-channel limit of high-density coax alternatives—without requiring larger refrigeration infrastructure. Its modular loader architecture enables 32-channel increments, allowing researchers to scale I/O capacity in step with qubit demands while minimizing cost, space, and complexity. The HD I/O system is compatible with [...]

D-Wave Quantum Inc. has introduced a quantum-powered blockchain architecture designed to improve security, scalability, and efficiency in distributed ledger technology. Described in the newly published research paper “Blockchain with Proof of Quantum Work”, this framework replaces classical proof-of-work (PoW) mechanisms with a quantum-native verification model executed on D-Wave’s annealing quantum processors. The “Proof of Quantum Work” (PoQW) algorithm enables blockchain hashes to be generated and validated entirely on quantum hardware, eliminating reliance on power-intensive classical mining. In a first-of-its-kind demonstration, D-Wave deployed the quantum blockchain architecture across four cloud-based quantum computers in Canada and the U.S., successfully synchronizing blockchain validation across [...]

Quantum Rings has announced the integration of its quantum simulation technology with NVIDIA CUDA-Q, enabling GPU-accelerated quantum circuit simulation for researchers, developers, and enterprises. This integration combines Quantum Rings’ high-performance quantum circuit simulation capabilities with NVIDIA’s accelerated computing infrastructure, allowing users to execute large-scale, complex quantum circuits more efficiently. The integration provides CUDA-Q users with access to Quantum Rings’ simulation technology, which supports rapid iteration on consumer-grade GPUs and seamless scaling to high-performance computing (HPC) clusters for advanced workloads. This capability is designed to help researchers and developers test and refine quantum algorithms, reducing simulation times and accelerating the development of quantum applications. NVIDIA CUDA-Q, [...]