memQ has been selected by Defense Advanced Research Projects Agency (DARPA) to develop a hardware- and network-aware quantum compiler as part of its Heterogeneous Architectures for Quantum (HARQ) program. The initiative aims to explore whether heterogeneous quantum computing architectures can deliver greater scalability and efficiency compared to traditional homogeneous designs.
The HARQ program focuses on rethinking how quantum systems are built by moving beyond single-qubit-type architectures. Instead, it promotes a multi-modality approach, where different types of qubits are used for specific tasks based on their strengths. This strategy is expected to significantly improve performance and reduce resource demands in future quantum systems.
memQ will lead a multi-organization team to design a compiler capable of mapping and distributing workloads across diverse quantum processors connected through quantum networking links. The compiler will integrate logical and physical interfaces between different qubit modalities, enabling optimized task allocation and improved system performance beyond what is achievable with conventional, monolithic architectures.
Manish Singh, Chief Product Officer at memQ, said the company is honored to contribute to the program, noting that HARQ has the potential to drive modularity, scalability, and resource optimization in quantum computing. He compared its importance to earlier DARPA initiatives that helped establish pathways toward practical quantum computing applications.
The collaboration includes partners such as qBraid and researchers from leading academic institutions including Massachusetts Institute of Technology, Yale University, and University of Chicago. Together, the team will work on creating interfaces that bridge different quantum hardware platforms while preserving their individual advantages.
Kanav Setia, CEO of qBraid, emphasized that the collaboration aligns with the company’s mission to expand access to quantum computing and accelerate innovation across both government and industry. Meanwhile, Liang Jiang, a professor at the University of Chicago, highlighted the importance of quantum error correction in enabling effective interaction between different qubit systems.
The project will build on memQ’s existing work in distributed quantum computing and its xQNA portfolio, which includes technologies such as quantum network interface controllers, quantum memory modules, and quantum control systems. These capabilities are expected to support the development of scalable, interconnected quantum infrastructures. By advancing heterogeneous architectures and compiler technologies, the DARPA HARQ program represents a significant step toward practical, large-scale quantum computing systems capable of addressing real-world challenges.
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