Performance of quantum approximate optimization with quantum error detection by Zichang He, David Amaro, Ruslan Shaydulin, Marco Pistoia

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Non-variational quantum random access optimization with alternating operator ansatz by Zichang He, Rudy Raymond, Ruslan Shaydulin, Marco Pistoia

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End-to-end protocol for high-quality quantum approximate optimization algorithm parameters with few shots by Tianyi Hao, Zichang He, Ruslan Shaydulin, Jeffrey Larson, Marco Pistoia

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Characterizing privacy in quantum machine learning by Jamie Heredge, Niraj Kumar, Dylan Herman, Shouvanik Chakrabarti, Romina Yalovetzky, Shree Hari Sureshbabu, Changhao Li, Marco Pistoia

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Synergizing quantum techniques with machine learning for advancing drug discovery challenge by Zhiding Liang, Zichang He, Yue Sun, Dylan Herman, Qingyue Jiao, Yanzhang Zhu, Weiwen Jiang, Xiaowei Xu, Di Wu, Marco Pistoia, Yiyu Shi

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Quantum compilation toolkit for Rydberg atom arrays with implications for problem hardness and quantum speedups by Martin J. A. Schuetz, Ruben S. Andrist, Grant Salton, Romina Yalovetzky, Rudy Raymond, Yue Sun, Atithi Acharya, Shouvanik Chakrabarti, Marco Pistoia, Helmut G. Katzgraber

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Decomposition pipeline for large-scale portfolio optimization with applications to near-term quantum computing by Atithi Acharya, Romina Yalovetzky, Pierre Minssen, Shouvanik Chakrabarti, Ruslan Shaydulin, Rudy Raymond, Yue Sun, Dylan Herman, Ruben S. Andrist, Grant Salton, Martin J. A. Schuetz, Helmut G. Katzgraber, Marco Pistoia

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