Simulating Quantum Computers with Tensor Networks
| Autor: | Recio Armengol, Erik |
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| Přispěvatelé: | Acín dal Maschio, Antonio, Kottmann, Korbinian, Stornati, Paolo |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Dipòsit Digital de la UB Universidad de Barcelona |
| Popis: | Màster Oficial de Ciència i Tecnologia Quàntiques / Quantum Science and Technology, Facultat de Física, Universitat de Barcelona. Curs: 2021-2022. Tutor: Antonio Acín, co-tutors: Korbinian Kottmann, Paolo Stornati We are setting up a pipeline to simulate variational quantum algorithms for relevant system sizes. Most simulators only allow for a few qubits. With tensor networks we can access much larger systems. One of the most promising algorithms is the variational quantum eigensolver, where a parametrized circuit is optimized to prepare an approximation of the ground state. We are investigating the reverse process of disentangling a ground state to a product state variationally, so we can study the necessary circuit depth needed in order to achieve the disentangling |
| Databáze: | OpenAIRE |
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