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DARPA Selects memQ to Develop Heterogeneous Quantum Compiler Tools

Quantum Computing Report
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DARPA selected memQ to develop a hardware-aware quantum compiler under its Heterogeneous Architectures for Quantum (HARQ) program, aiming to advance scalable quantum computing beyond single-qubit architectures. The compiler will enable qubit-agnostic, multi-modality systems by optimizing logical circuits across diverse quantum processors linked via networks, leveraging strengths of trapped ions, superconducting qubits, and other modalities. memQ leads a team including qBraid, MIT, Yale, and University of Chicago researchers to reduce resource demands by 1,000x through hardware-aware workload partitioning for utility-scale quantum computing. The project builds on memQ’s quantum networking solutions, integrating error correction into modular, networked infrastructures to bridge gaps between heterogeneous quantum platforms. HARQ’s goal is to assess whether heterogeneous architectures outperform homogeneous designs, potentially unlocking scalability for real-world quantum applications.
DARPA Selects memQ to Develop Heterogeneous Quantum Compiler Tools

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DARPA Selects memQ to Develop Heterogeneous Quantum Compiler Tools memQ has been selected by the Defense Advanced Research Projects Agency (DARPA) to develop a hardware- and network-aware quantum compiler under the Heterogeneous Architectures for Quantum (HARQ) program. The initiative aims to move beyond current “homogeneous” roadmaps—where systems are designed around a single qubit species—to assess whether “heterogeneous” architectures are inherently more scalable. memQ’s compiler is intended to enable qubit-agnostic, multi-modality configurations, allowing for modular and scale-out quantum computing environments that are optimized for real-world deployment. The development team, led by memQ, includes the quantum computing platform provider qBraid along with researchers from MIT, Yale, and the University of Chicago. This multi-organization group will focus on delivering a compiler that provides optimized mapping and partitioning of logical circuits across diverse quantum processors connected via networking links. By creating logical and physical qubit-level interfaces that bridge different platforms, the compiler seeks to leverage the specific strengths of various qubit modalities—such as trapped ions or superconducting circuits—to achieve performance levels currently beyond the reach of monolithic processors. This work addresses one of the two core focus areas of the HARQ program: developing compiler tools with the potential to reduce resource demands by a factor of 1,000. By assigning workloads in a hardware-aware manner, memQ aims to catalyze the modularity and resource optimization necessary for utility-scale quantum computing. The project builds upon memQ’s existing portfolio of quantum networking solutions, including chip-scale quantum network interface controllers and memory modules, further integrating quantum error correction into practical, networked infrastructures. For the official technical announcement regarding the DARPA HARQ selection, consult the GlobeNewswire release here. Detailed information on the broader HARQ program and the full list of performer teams is available via DARPA here. April 14, 2026 Mohamed Abdel-Kareem2026-04-14T17:02:14-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.

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Source: Quantum Computing Report