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Vicente Leyton-Ortega
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2020 – today
- 2024
- [j5]Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini, Torey Battelle, Daan Camps, David Casanova, Young Jay Choi, Frederic T. Chong, Charles Chung, Christopher Codella, Antonio D. Córcoles, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan J. Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira
, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. Future Gener. Comput. Syst. 160: 666-710 (2024) - [i1]Elaine Wong, Vicente Leyton-Ortega, Daniel Claudino, Seth Johnson
A Cross-Platform Execution Engine for the Quantum Intermediate Representation. CoRR abs/2404.14299 (2024) - 2023
- [c3]Elaine Wong
A QIR Toolchain with XACC. QCE 2023: 205-206 - 2021
- [j4]Thien Nguyen
QuaSiMo: A composable library to program hybrid workflows for quantum simulation. IET Quantum Commun. 2(4): 160-170 (2021) - [j3]Oscar J. Perdomo, Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz
Entanglement types for two-qubit states with real amplitudes. Quantum Inf. Process. 20(3): 1-12 (2021) - [j2]Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz
Robust implementation of generative modeling with parametrized quantum circuits. Quantum Mach. Intell. 3(1): 1-10 (2021) - [c2]Kathleen E. Hamilton, Emily Lynn, Vicente Leyton-Ortega, Swarnadeep Majumder, Raphael C. Pooser:
Mode connectivity in the QCBM loss landscape: ICCAD Special Session Paper. ICCAD 2021: 1-9 - [c1]Thien Nguyen, Lindsay Bassman Oftelie
Composable Programming of Hybrid Workflows for Quantum Simulation. ICSA Companion 2021: 110-116 - 2020
- [j1]Javier Alcazar, Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz
Classical versus quantum models in machine learning: insights from a finance application. Mach. Learn. Sci. Technol. 1(3): 35003 (2020)
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last updated on 2024-11-08 20:29 CET by the dblp team
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