Mohamed Abdel-Kareem

Anyon Computing has introduced an open-source, real-time quantum control system featuring NVIDIA NVQLink integration. This system unifies microwave control hardware and superconducting QPUs with CPUs and GPUs over a shared RDMA-over-Ethernet fabric, enabling microsecond execution loops vital for quantum error correction and hybrid quantum-classical machine learning. The initiative aims to standardize control layers across multi-QPU and multi-GPU supercomputing clusters.

Iceberg Quantum and Diraq have successfully compiled and validated Iceberg's Pinnacle qLDPC architecture on Diraq's silicon spin-qubit hardware using NVIDIA CUDA-Q Logical. This integration demonstrates that high-rate qLDPC error correction can be achieved on silicon spin hardware without extensive global wiring, utilizing electron shuttling for localized qubit routing. This breakthrough allows for supporting 1,000 logical qubits with 150,000 physical qubits, significantly reducing hardware requirements compared to traditional methods.

Quantum Motion has integrated its silicon spin architecture with NVIDIA CUDA-Q Logical, enabling automated quantum error correction-aware compilation. This integration translates high-level algorithms into hardware instructions for Quantum Motion's looped pipeline architecture, which uses electron shuttling to create a 3D virtual-z topology for surface codes. This advancement aims to facilitate large-scale electronic structure calculations for complex molecular systems.

Quantum Motion has finalized the second close of its Series C funding round, co-led by DCVC and Kembara, with new and returning investors including imec.ventures, Sony Innovation Fund, and Lansdowne Partners. This capital will accelerate the industrial scale-up of their fault-tolerant silicon quantum processors, supporting custom silicon co-development using 300mm CMOS semiconductor foundries, international expansion with a new U.S. research lab, and ongoing technical execution under DARPA’s Quantum Benchmarking Initiative. Their strategy focuses on dense silicon spin-qubit architectures fabricated in commercial foundries, aiming for significant cost, size, and energy reductions compared to alternative quantum computing methods.

Infleqtion has integrated its open-source qLDPC software library with NVIDIA CUDA-Q Logical, creating an end-to-end software pipeline for quantum error correction (QEC) codes. This integration, announced at IEEE Quantum Week 2026, allowed Infleqtion to construct and validate a Hypergraph-Product Simplex (HGPS) quantum low-density parity-check (qLDPC) code block with significantly reduced data-qubit overhead compared to standard surface codes, marking a step towards practical quantum computing.

A new Quantum Universal Operations Performance System (QUOPS) framework has been introduced by Sandia National Laboratories, Quantinuum, and NVIDIA to benchmark quantum computer performance. This framework measures integrated performance across both physical and logical-qubit platforms, using metrics like QUOPS score (Q) for circuit size and QUOPS rate (Ω) for operational throughput. Initial benchmarks show Quantinuum’s Helios-1 achieving a physical score of Q = 1,504, while Google’s Willow and IBM’s ibm_boston reached Q = 216 and Q = 204 respectively.

Qedma Quantum Computing has integrated its QESEM quantum error mitigation software into NVIDIA CUDA-Q, an open platform for hybrid quantum-GPU supercomputing. This integration allows CUDA-Q developers to run error-mitigated quantum circuits directly within their existing workflows, initially targeting Quantinuum's trapped-ion hardware, with plans for broader QPU compatibility. This expands Qedma's software ecosystem and builds on its recent hardware benchmarks and significant error-mitigation performance advantages.

Quantum Machines has successfully demonstrated the live, end-to-end execution of an NVIDIA CUDA-Q program across a physical QPU, classical GPUs, and a Pulse Processing Unit (PPU) controller using NVIDIA NVQLink. This integration, announced at IEEE Quantum Week 2026, establishes a unified hybrid control architecture that allows CUDA-Q applications to be compiled and routed dynamically across CPU, GPU, and QPU layers with microsecond latency, enabling real-time quantum error correction and hybrid variational algorithms. This marks a shift towards standardized supercomputing interfaces for QPU control stacks.

Phasecraft and NVIDIA have collaborated under the Wellcome Leap Q4Bio program to create the largest-known Variational Quantum Eigensolver (VQE) emulated molecular database. Utilizing an NVIDIA Hopper architecture cluster and cuQuantum software, they benchmarked over 3,000 VQE circuit emulations across 13 molecular systems, achieving a 15-fold speedup. This effort aims to train quantum-enhanced Density Functional Theory (DFT) functionals for improved biological system calculations.

Photonic Inc. proposes Project VANGUARD, a CA$500 million (US$359.1 million) semiconductor facility in Canada, to address fabrication and packaging bottlenecks in quantum computing, AI, and other sectors. This multi-tenant facility, anchored in Vancouver, aims to create shared domestic infrastructure, reduce reliance on foreign foundries, and secure sovereign supply chains. The project aligns with Photonic's hardware roadmap and builds on its recent Series A funding and participation in national and international quantum initiatives.