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Articles

Entropy quantum computing for fixed-backbone protein design

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By Wesley Dyk, David Haycraft, lac nguyen, Mohammad-Ali Miri, David Huggins, Babak Emami, Jenn Robinson
| Nature Verified
Abstract Computational protein design (CPD) is a central problem in biotechnology, with applications in enzyme engineering and therapeutic design, but its combinatorial complexity poses a significant challenge for classical optimization methods. In this work, we formulate fixed–backbone CPD as a quadratic Hamiltonian over rotamer variables, enabling solution using Quantum Computing Inc.’s photonic entropy computing platform, Dirac-3.
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Entropy computing, a paradigm for optimization in open photonic systems - Communications Physics

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By lac nguyen, Mohammad-Ali Miri, Nicholas Chancellor, Joel Huffman, Cesar Martinez-Delgado
| Nature Verified
Abstract Finding better solutions to combinatorial optimization problems could have a large positive impact on many real-world application areas, such as logistics. For this reason, significant efforts have been made to design novel optimization paradigms. Here we show an early instance of such paradigm in an optical setting, the entropy computing paradigm.
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[2503.11273] Financial Fraud Detection with Entropy Computing

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By David Haycraft, lac nguyen, Wesley Dyk, Carrie Spear
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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