Qilimanjaro Quantum Tech has announced the release of QiliSDK, an open-source Python framework designed to unify digital, analog, and hybrid quantum algorithm design. The modular software development kit (SDK) reinforces Qilimanjaro’s commitment to providing full-stack tools for practical quantum computing, accelerating the path from theory to simulation and hardware.
The QiliSDK serves as the entry point to Qilimanjaro’s multimodal quantum data center, which tightly integrates superconducting digital QPUs, analog QPUs, and classical HPC accelerators. The SDK enables researchers and developers to execute and optimize quantum workflows across simulation and real hardware, from CPUs and GPUs to Qilimanjaro’s own superconducting QPUs via the SpeQtrum platform. The architecture is fully backend-agnostic and features high-level abstractions for gates, circuits, Hamiltonians, and optimizers.
Qilimanjaro employs a dual technology strategy using full-stack quantum computers based on fluxonium analog qubits. This architecture is designed to bypass the need for error correction, offering near-term advantages in simulation, optimization, and AI where digital QPUs may require massive overhead. Future iterations of QiliSDK plan to extend capabilities with pulse programming and digital-analog hybrid workflows, ensuring interoperability via OpenQASM 3.0 and QIR support.
David Arcos, Director of Software at Qilimanjaro, noted that the toolkit empowers users to move from simulation to real hardware with complete transparency and control. The company’s goal with QiliSDK is to streamline the process of designing quantum algorithms across all paradigms: circuit-based, Hamiltonian-based, or hybrid.
Read the full announcement here.
October 22, 2025
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