(2+1)D Quantum Electrodynamics at Finite Density on a Quantum Computer
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866918147507879936 |
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| author | Rosanowski, Emil Otis Crippa, Arianna Funcke, Lena Itaborai, Paulo Vitor Jansen, Karl Singh, Simran |
| author_facet | Rosanowski, Emil Otis Crippa, Arianna Funcke, Lena Itaborai, Paulo Vitor Jansen, Karl Singh, Simran |
| contents | In this paper, we explore (2+1)D quantum electrodynamics (QED) at finite density on a quantum computer, including two fermion flavors. Our method employs an efficient gauge-invariant ansatz together with a quantum circuit structure that enforces Gauss's law. As a proof of principle, we benchmark our simulation protocol on a small lattice system, demonstrating the identification of phase transitions in terms of the particle number of the fermion flavors. Classical simulations are used to obtain optimized variational parameters, which are then deployed in inference runs on IBM quantum hardware. We conclude by discussing hardware limitations and prospects for scaling this method to larger systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_20558 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | (2+1)D Quantum Electrodynamics at Finite Density on a Quantum Computer Rosanowski, Emil Otis Crippa, Arianna Funcke, Lena Itaborai, Paulo Vitor Jansen, Karl Singh, Simran High Energy Physics - Lattice Other Condensed Matter Quantum Physics In this paper, we explore (2+1)D quantum electrodynamics (QED) at finite density on a quantum computer, including two fermion flavors. Our method employs an efficient gauge-invariant ansatz together with a quantum circuit structure that enforces Gauss's law. As a proof of principle, we benchmark our simulation protocol on a small lattice system, demonstrating the identification of phase transitions in terms of the particle number of the fermion flavors. Classical simulations are used to obtain optimized variational parameters, which are then deployed in inference runs on IBM quantum hardware. We conclude by discussing hardware limitations and prospects for scaling this method to larger systems. |
| title | (2+1)D Quantum Electrodynamics at Finite Density on a Quantum Computer |
| topic | High Energy Physics - Lattice Other Condensed Matter Quantum Physics |
| url | https://arxiv.org/abs/2509.20558 |