Quantum Networking, Quantum Software

memQ shares open-source tools for linking quantum computers

Avatar of Ivy Delaney
September 24, 2026 by Ivy Delaney

On September 24, 2026, memQ released its distributed quantum compiler as an open-source tool, responding to a growing industry need and the direction set by the recent United States Executive Order 14413. This software uniquely compiles and schedules quantum programs across diverse networks, accommodating different qubit types from various vendors, a critical step toward interoperability in quantum computing.

The framework accounts for real-world hardware limitations like gate durations and entanglement rates, giving users granular control over distributed quantum systems. “Quantum users need the ability to easily distribute their workloads across available hardware,” stated Manish Kumar Singh, Chief Product Officer for memQ, “For the first time, the open source memQ DQC framework delivers a practical, accessible way that distributed quantum computing approaches can be built, evaluated and executed.”

memQ’s Open-Source Distributed Quantum Compiler Enables Networked QPUs

The release of memQ’s distributed quantum compiler (DQC) directly responds to the June 2026 United States Executive Order 14413, which directed agencies to plan for quantum networking and distributed computing infrastructure. This timing suggests a proactive industry alignment with governmental priorities for scaling quantum capabilities beyond the limitations of single processors. Beyond simply running on distributed networks, the DQC actively compiles and schedules quantum programs, factoring in real-world hardware constraints like gate durations and entanglement-generation rates.

This granular control over hardware restrictions goes beyond basic execution, enabling optimization for specific network topologies and processor connectivity. A companion paper released alongside the software details how the framework can be used to explore the design space of distributed quantum computing, including the interplay between network topology, processor connectivity, compilation strategy, and scheduling algorithms. This detailed analysis helps researchers understand the trade-offs inherent in building scalable quantum systems.

MemQ’s approach to distributed quantum computing addresses a fundamental challenge: overcoming the scaling limits of individual quantum computers. The company, founded in 2021 as a spin-out from the University of Chicago, builds quantum network interface controllers and quantum memory on commercial foundry silicon photonics, connecting quantum processors over standard telecom fiber. This focus on using existing silicon photonics fabrication avoids the high costs and extended timelines associated with bespoke manufacturing processes.

“As the quantum industry moves toward distributed architectures, the availability of standardized, qubit-agnostic tools is essential,” said André Konig, CEO of Global Quantum Intelligence. “By open-sourcing their Distributed Quantum Compiler, memQ is lowering the barrier to entry and accelerating how developers design and evaluate scalable quantum networks.” The DQC’s modular architecture provides users with complete control over qubit connectivity, both within and between quantum processing units, further enhancing its adaptability and potential for innovation.

We already provide the unique ability to connect quantum systems without collapsing the quantum state – but truly reaching utility scale in quantum computing will require even more than that.

Manish Kumar Singh, Chief Product Officer for memQ
More like this
Quantum SensorsElement Six pushes diamond materials for quantum sensing and networks
Quantum Research NewsIEEE honors Oak Ridge National Laboratory’s broad quantum science network
Quantum NetworkingmemQ DQC lets users map quantum circuits to any network design
Quantum CryptographySK Telecom and KISTI test quantum networks with a digital twin
Stay current

See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.

Tags:
distributed quantum computing memQ Quantum Computing Quantum Networking
Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

Latest Posts by Ivy Delaney: