Quantum Computing Networks

We build advanced simulation software for the design, optimization, and management of quantum computing networks. Our platform delivers the foundational infrastructure for scalable, distributed quantum computing, empowering research institutions, hardware providers, and technology enterprises to model and analyze quantum device interactions across environments ranging from simple testbeds to complex, real-world systems.

We enable the design and simulation of hybrid architectures, which are crucial for connecting diverse quantum nodes such as processors, memories, and sensors through interconnects. With our solution, users can model device behavior, simulate entanglement distribution, and explore architectures that optimize performance across heterogeneous technologies (optical, superconducting, ion-based) and multi-vendor systems.

telaQ™ – Computing

telaQ-Computing is a digital twin platform for modelling, simulating, and optimizing quantum computing networks from small to large scales, optimizing the distribution of entanglement and quantum resources for modular, distributed quantum computing.

Find Out More

Our solution supports:

Modelling of quantum devices and entanglement protocols
Optimization of hybrid network topologies and traffic
Scalable and modular quantum computing systems

Why This Matters

As quantum computing advances, an interconnected ecosystem will be crucial to unlocking scalable performance and real-world impact. Our simulation platform reduces risk, cost, and time-to-deployment by enabling rigorous virtual testing and optimization before physical implementation. At nodeQ, we accelerate the path toward practical quantum networking and distributed quantum computing at scale.

Explore our Quantum Digital Twin
for Quantum Computing Networks

For early access to our technology and more details

Selection of Scientific Contributions

Browse some of our 300+ research papers from our staff that contribute to science and innovation.

Advances in Quantum Teleportation [Nature Photonics 9, 641, 2015]
Download PDF
Gaussian Quantum Information
[Rev. Mod. Phys. 84, 621 (2012)]
Download PDF