Strobili Labs

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Solving complex problems through quantum simulations to spark innovation and drive real-world impact.


Our Impact

By leveraging quantum computing for complex optimization and developing quantum-resistant cryptographic solutions, we help organizations address computationally challenging problems while strengthening the security and resilience of critical data, systems, and communications.

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Our Expertise

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Quantum Optimized Problem Solving

Formulating optimization problems as QUBO/Ising models and solving them via quantum annealing or gate-based quantum algorithms (e.g., QAOA, VQE) to explore solution spaces beyond classical computational limits.

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Quantum Encryption Software Updates

Implementing quantum-resistant cryptographic algorithms and updating encryption protocols to enhance security against both conventional and quantum-enabled attacks.

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Post-Quantum Cryptography Solutions

Designing cryptographic architectures using lattice-based, code-based, and hash-based algorithms to secure data, communications, and digital infrastructure against quantum-enabled cryptanalytic attacks.


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Latest News

Scientists have demonstrated that sunlight, as a natural light source, can generate quantum-entangled photon pairs. With their findings, the international research team challenges the long-held assumption that lasers are indispensable for pre-paring quantum states of light.

A team at TU Wien, together with teams from the University of Vienna, JKU Linz and the University of Innsbruck, has now developed a way to make use of the quantum information carried by electrons in an electron microscope: The electron beam is coupled to a quantum computer, opening up entirely new possibilities for working with the quantum information of the electrons.

Researchers have performed a new analysis of this threat and have concluded that such quantum-hacking ability may come sooner than previously expected. The team estimates that 500,000 qubits are needed to crack the most common crypto-security system used today, which is a reduction by a factor of 20 below prior estimates.