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    Eric Anschuetz

    Graduate Student at Massachusetts Institute of Technology

    Eric Ricardo Anschuetz is a researcher in the field of quantum information and quantum machine learning. He completed his PhD at the Massachusetts Institute of Technology (MIT) from 2017 to 2023.12 Currently, he is a Sherman Fairchild Postdoctoral Scholar at the California Institute of Technology (Caltech).23

    During his time at MIT, Eric was advised by Aram Harrow.1 Before his PhD, he obtained his MS and undergraduate degrees from Harvard University between 2013 and 2017.1

    Eric's research focuses on quantum machine learning, quantum algorithms, and the study of quantum spin glasses. He has published numerous papers on topics such as variational quantum algorithms, quantum Boltzmann machines, and the limitations of certain quantum computing approaches.23

    Some of his notable works include:

    1. A study on quantum variational algorithms and their limitations, published in Nature Communications in 2022.2
    2. Research on enhancing generative models using quantum correlations, published in Physical Review X in 2022.2
    3. Work on efficient classical algorithms for simulating symmetric quantum systems, published in Quantum in 2023.2

    Eric is actively involved in the quantum computing research community, presenting his work at various conferences and workshops.3 His current research as a postdoc at Caltech continues to explore the potential and limitations of quantum machine learning models.3

    Highlights

    ‪Eric R. Anschuetz‬ - ‪Google Scholar‬
    Eric R. Anschuetz

    Related Questions

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    Eric Anschuetz
    Eric Anschuetz, photo 1
    Eric Anschuetz, photo 2
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    Location

    Cambridge, Massachusetts, United States