Search Results - Hadfield, Stuart

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  1. 1
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    Measurement-Based Quantum Approximate Optimization Autoría: Stollenwerk, Tobias, Hadfield, Stuart

    Published 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  2. 2
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    FOCQS: Feedback Optimally Controlled Quantum States Autoría: Brady, Lucas T., Hadfield, Stuart

    Published 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  3. 3
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    Quantum DPLL and Generalized Constraints in Iterative Quantum Algorithms Autoría: Brady, Lucas T., Hadfield, Stuart

    Published 2025
    Fuente: arXiv
    Tipo de material: Preprint
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  4. 4
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    Measurement-driven Quantum Approximate Optimization Autoría: Stollenwerk, Tobias, Hadfield, Stuart

    Published 2025
    Fuente: arXiv
    Tipo de material: Preprint
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  5. 5
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    Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping Autoría: Maciejewski, Filip B., Biamonte, Jacob, Hadfield, Stuart, Venturelli, Davide

    Published 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  6. 6
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    Imposing Constraints on Driver Hamiltonians and Mixing Operators: From Theory to Practical Implementation Autoría: Leipold, Hannes, Spedalieri, Federico M., Hadfield, Stuart, Rieffel, Eleanor

    Published 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  7. 7
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    Iterative warm-start optimization with quantum imaginary time evolution Autoría: Lotshaw, Phillip C., Morris, Titus, Hadfield, Stuart, Bennink, Ryan

    Published 2026
    Fuente: arXiv
    Tipo de material: Preprint
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  8. 8
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    Highly-efficient quantum Fourier transformations for some nonabelian groups Autoría: Murairi, Edison M., Alam, M. Sohaib, Lamm, Henry, Hadfield, Stuart, Gustafson, Erik

    Published 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  9. 9
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    Scattering Processes from Quantum Simulation Algorithms for Scalar Field Theories Autoría: Hardy, Andrew, Mukhopadhyay, Priyanka, Alam, M. Sohaib, Konik, Robert, Hormozi, Layla, Rieffel, Eleanor, Hadfield, Stuart, Barata, João, Venugopalan, Raju, Kharzeev, Dmitri E., Wiebe, Nathan

    Published 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  10. 10
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    Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems Autoría: Maciejewski, Filip B., Hadfield, Stuart, Hall, Benjamin, Hodson, Mark, Dupont, Maxime, Evert, Bram, Sud, James, Alam, M. Sohaib, Wang, Zhihui, Jeffrey, Stephen, Sundar, Bhuvanesh, Lott, P. Aaron, Grabbe, Shon, Rieffel, Eleanor G., Reagor, Matthew J., Venturelli, Davide

    Published 2023
    Fuente: arXiv
    Tipo de material: Preprint
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  11. 11
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    Assessing and Advancing the Potential of Quantum Computing: A NASA Case Study Autoría: Rieffel, Eleanor G., Asanjan, Ata Akbari, Alam, M. Sohaib, Anand, Namit, Neira, David E. Bernal, Block, Sophie, Brady, Lucas T., Cotton, Steve, Izquierdo, Zoe Gonzalez, Grabbe, Shon, Gustafson, Erik, Hadfield, Stuart, Lott, P. Aaron, Maciejewski, Filip B., Mandrà, Salvatore, Marshall, Jeffrey, Mossi, Gianni, Bauza, Humberto Munoz, Saied, Jason, Suri, Nishchay, Venturelli, Davide, Wang, Zhihui, Biswas, Rupak

    Published 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  12. 12
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    Challenges and Opportunities in Quantum Optimization Autoría: Abbas, Amira, Ambainis, Andris, Augustino, Brandon, Bärtschi, Andreas, Buhrman, Harry, Coffrin, Carleton, Cortiana, Giorgio, Dunjko, Vedran, Egger, Daniel J., Elmegreen, Bruce G., Franco, Nicola, Fratini, Filippo, Fuller, Bryce, Gacon, Julien, Gonciulea, Constantin, Gribling, Sander, Gupta, Swati, Hadfield, Stuart, Heese, Raoul, Kircher, Gerhard, Kleinert, Thomas, Koch, Thorsten, Korpas, Georgios, Lenk, Steve, Marecek, Jakub, Markov, Vanio, Mazzola, Guglielmo, Mensa, Stefano, Mohseni, Naeimeh, Nannicini, Giacomo, O'Meara, Corey, Tapia, Elena Peña, Pokutta, Sebastian, Proissl, Manuel, Rebentrost, Patrick, Sahin, Emre, Symons, Benjamin C. B., Tornow, Sabine, Valls, Victor, Woerner, Stefan, Wolf-Bauwens, Mira L., Yard, Jon, Yarkoni, Sheir, Zechiel, Dirk, Zhuk, Sergiy, Zoufal, Christa

    Published 2023
    Fuente: arXiv
    Tipo de material: Preprint
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