Qilimanjaro Integrates NVIDIA CUDA-Q Into QiliSDK, Extending Quantum Workflows Across 4 Backends
Updated
Updated · The Quantum Insider · Jun 23
Qilimanjaro Integrates NVIDIA CUDA-Q Into QiliSDK, Extending Quantum Workflows Across 4 Backends
3 articles · Updated · The Quantum Insider · Jun 23
Summary
QiliSDK now lets researchers run and emulate quantum algorithms through one framework across CPUs, GPUs, digital QPUs and Qilimanjaro’s analog QPUs.
CUDA-Q integration adds GPU-accelerated emulation, complete CUDA-Q backends, noise models, and OpenQASM3 and QIR connectors to support hybrid quantum-classical workflows and code portability.
Barcelona Supercomputing Center users are a key target: Qilimanjaro has installed 3 quantum computers there, and teams can now launch large CUDA-Q simulations directly from QiliSDK on NVIDIA GPUs.
Classical emulation remains a bottleneck as qubit counts rise—CPU-based runs are typically practical only to about 25 qubits before memory and bandwidth limits push runtimes from seconds to hours.
The upgrade underscores Qilimanjaro’s multimodal computing strategy, aimed at linking supercomputers with both digital and analog quantum acceleration in future HPC systems.
How will fusing quantum software with AI hardware unlock real machine learning advantages soon?
As quantum meets classical hardware, will software partnerships crown the industry's next leaders?
Qilimanjaro and NVIDIA CUDA-Q Unite: Powering Europe’s First Multimodal Quantum Data Center with QiliSDK
Overview
On June 23, 2026, Qilimanjaro Quantum Tech announced the integration of NVIDIA CUDA-Q into its QiliSDK, marking a major step for quantum software. This integration enhances QiliSDK’s ability to emulate and execute quantum workflows across various hardware, supporting both classical and quantum systems. It strengthens Qilimanjaro’s multi-platform and multimodal vision, making it easier for researchers and high-performance computing centers to develop hybrid quantum-classical applications. The move comes as Europe expands its hybrid supercomputing infrastructure with more NVIDIA-accelerated platforms, ensuring that QiliSDK users can efficiently tackle complex quantum problems using unified tools.