memQ Announces Innovative Software Stack for Clustered Quantum Computing

New network-based quantum compiler leverages NVIDIA CUDA-Q to enable greater scalability and modularity for quantum workloads.

Mar. 16, 2026 at 9:19pm

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memQ, a leader in quantum networking solutions, announced the roadmap for their Extensible Distributed Quantum Compiler (xDQC), built upon the NVIDIA CUDA-Q platform. This novel approach allows quantum workloads to be distributed across multiple quantum processors in a system or network, based on qubit modality and availability, to achieve higher throughput for demanding problems. The xDQC is a network-and hardware-aware orchestration layer that treats QPU-QPU links as first-class components that can be optimized for scale and performance.

Why it matters

Quantum computing is a rapidly growing field, projected to become a $100B market by 2035. Distributed quantum computing and blind quantum cloud computing are key workloads that require the ability to execute circuits and gates across a quantum network based on the unique properties of the workload and available system resources. memQ's solution aims to address current scaling and performance bottlenecks in quantum systems by leveraging advances in photonic integration, quantum interconnects, and quantum circuit design.

The details

The memQ xDQC solution allows users to profile a workload across qubit resources, evaluate routing and computational assignments, and select the one with optimum performance and resource utilization. The simulation recommendations are based on hardware-aware noise models that simulate real interconnect conditions. Once selected, the compiler can assign workload tasks to various QPUs for execution and recompile the individual responses for a total result with greater performance and ROI than a monolithic approach.

  • The xDQC is expected to be available for preview in the first half of 2026.

The players

memQ

An industry leader in quantum networking solutions for distributed quantum computing, founded in 2021 as a spin-out from the University of Chicago.

NVIDIA

A technology company that provides graphics processing units (GPUs) and other computing platforms. NVIDIA's CUDA-Q platform is the foundation for memQ's xDQC solution.

Andre Konig

The CEO of Global Quantum Intelligence, who states that the emergence of a 'right qubit for the right task' paradigm aligns with DARPA's position on overcoming scaling and performance bottlenecks in quantum systems.

Sean Sullivan

The CTO of memQ, who says the company is building a full-stack simulation toolkit that lets researchers co-design hardware and architecture for distributed quantum systems at scale.

Sam Stanwyck

The Director of Quantum Product at NVIDIA, who states that CUDA-Q is built to support developing workloads for at-scale hybrid quantum-classical systems.

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What they’re saying

“We see the emergence of a 'right qubit for the right task' paradigm which leverages systems of different qubit modalities – and possibly different vendors – as quantum workloads increase.”

— Andre Konig, CEO of Global Quantum Intelligence

“The industry approach to 'scale' is shifting from monolithic architectures – which will find a hard 'ceiling' – to modular, distributed computing. And the missing piece in scaling isn't just adding more qubits, it's leveraging the complex networks that connect them to unlock new applications.”

— Sean Sullivan, CTO of memQ

“CUDA-Q is built to support developing workloads for at-scale hybrid quantum-classical systems.”

— Sam Stanwyck, Director of Quantum Product at NVIDIA

What’s next

The CUDA-Q based xDQC is expected to be available for preview in the first half of 2026.

The takeaway

memQ's innovative software stack for distributed quantum computing, built on NVIDIA's CUDA-Q platform, aims to address current scaling and performance bottlenecks in quantum systems by enabling greater modularity, flexibility, and optimization of quantum workloads across a network of quantum processors.