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Iskay Quantum Optimizer outperforms popular classical optimization solvers in financial use cases such as portfolio optimization

June 10, 2025 //  by Finnovate

IBM Quantum partners are attending the IBM Quantum Partner Forum 2025 in London, England, to hear from IBM leadership and researchers about the latest in quantum hardware, quantum algorithm discovery, and powerful new software tools. The company is proud to introduce two new application functions on the Qiskit Functions Catalog: the QUICK-PDE function by French quantum startup ColibriTD, and the Quantum Portfolio Optimizer by Spanish startup Global Data Quantum. These new functions provide a full, ready-made quantum pipeline for researchers and developers to harness the full power of utility-scale quantum computers in researching and developing new quantum use cases. Application functions are services that abstract away the complexities of the quantum workflow to accelerate quantum algorithm discovery and application prototyping. They take the same classical inputs as in a typical classical workflow and return domain-familiar classical outputs, making it easy to integrate quantum methods into pre-existing application workflows. As the hunt for quantum advantage progresses, more researchers will use application functions to tackle problems that are challenging or impossible for the most powerful high-performance computing (HPC) systems. The new application functions include the Iskay Quantum Optimizer by Kipu Quantum, which outperforms popular classical optimization solvers in financial use cases such as portfolio optimization, and the Singularity Machine Learning function by Multiverse Computing, which addresses classification problems that benefit from ensemble learning and complex model optimization. The new QUICK-PDE and Quantum Portfolio functions already incorporate all three of these improvements, and users can request a free trial through the Qiskit Functions Catalog homepage.

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Category: Innovation Topics, Futurism

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