What quantum use cases are you currently thinking about addressing?

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  • portfolio optimization across different asset classes (equities, currencies, commodities)

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    • Graph partitioning (clustering)
    • Non-negative matrix factorization
    • Deconvolution (unfolding) of measurement distributions [JHEP11(2019)128]
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  • Quantum Hamiltonian Simulation, Implementation of adiabatic quantum algorithms, Quantum optimization

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  • QPU enabled materials optimization application

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  • Quantum machine learning for real-world data science problems.

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  • Optimization problems with a focus on troubleshooting, tuning, and scaling solutions to fit on the qpu and integrate with other systems.

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  • Quantum computing for QUBO modelings. Especially, linear equations and epidemic spread equations.

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  • Finance use-cases & Post Quantum Cryptography

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  • Quantum Cryptography and uses regarding machine learning/optimization

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  • Metasurface and metamaterial design is often hampered by computationally expensive full-wave simulations and extremely large solution spaces. Quantum annealing is a very exciting solution to this problem.

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  • Use cases regarding software and IT security. Admittedly not well defined yet.

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  • Computational chemistry and material science, optimization problems, quantum machine learning.

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