Qilimanjaro Integrates QiliSDK with Nvidia CUDA-Q for GPU-Accelerated Quantum Emulation

[Andy89]

Spanish quantum computing company Qilimanjaro announced this week the integration of its QiliSDK software development kit with Nvidia's CUDA-Q platform, enabling GPU-accelerated quantum circuit emulation at scales previously inaccessible to its user base. The integration allows researchers and developers to run quantum circuit simulations on Nvidia GPU clusters through the CUDA-Q interface while using Qilimanjaro's native SDK for circuit design and optimisation. The practical result is that workflows developed in QiliSDK can be tested at larger qubit counts using classical GPU emulation before being deployed on actual Qilimanjaro quantum hardware.

Qilimanjaro specialises in analog quantum computing using superconducting flux qubits optimised for combinatorial optimisation problems. Its hardware approach differs from gate-based quantum computing: rather than executing discrete gate operations, analog quantum computers evolve a Hamiltonian that encodes an optimisation problem into the quantum system's ground state. This continuous approach is particularly suited to certain classes of problems including logistics scheduling, portfolio optimisation and protein folding, but makes it harder to emulate accurately on standard digital simulators. The CUDA-Q integration addresses this by providing GPU-accelerated simulation capabilities that can handle the continuous dynamics more efficiently.

Qilimanjaro also announced integration of its SDK with qBraid's cloud platform the same week, consistent with the pattern visible across quantum hardware companies of using qBraid as a middleware aggregation layer. The double announcement of CUDA-Q integration and qBraid access in the same week reflects a commercial maturation phase: quantum hardware companies are no longer just building hardware and publishing research, they are building the software ecosystem and cloud access pathways that enterprise customers need to develop and deploy applications.

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