Hamiltonian learning for 300 trapped ion qubits with long-range couplings
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arXiv
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| Format: | Preprint |
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2024
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| author | Guo, S. -A. Wu, Y. -K. Ye, J. Zhang, L. Wang, Y. Lian, W. -Q. Yao, R. Xu, Y. -L. Zhang, C. Xu, Y. -Z. Qi, B. -X. Hou, P. -Y. He, L. Zhou, Z. -C. Duan, L. -M. |
| author_facet | Guo, S. -A. Wu, Y. -K. Ye, J. Zhang, L. Wang, Y. Lian, W. -Q. Yao, R. Xu, Y. -L. Zhang, C. Xu, Y. -Z. Qi, B. -X. Hou, P. -Y. He, L. Zhou, Z. -C. Duan, L. -M. |
| contents | Quantum simulators with hundreds of qubits and engineerable Hamiltonians have the potential to explore quantum many-body models that are intractable for classical computers. However, learning the simulated Hamiltonian, a prerequisite for any applications of a quantum simulator, remains an outstanding challenge due to the fast increasing time cost with the qubit number and the lack of high-fidelity universal gate operations in the noisy intermediate-scale quantum era. Here we demonstrate the Hamiltonian learning of a two-dimensional ion trap quantum simulator with 300 qubits. We employ global manipulations and single-qubit-resolved state detection to efficiently learn the all-to-all-coupled Ising model Hamiltonian, with the required quantum resources scaling at most linearly with the qubit number. Our work paves the way for wide applications of large-scale ion trap quantum simulators. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_03801 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Hamiltonian learning for 300 trapped ion qubits with long-range couplings Guo, S. -A. Wu, Y. -K. Ye, J. Zhang, L. Wang, Y. Lian, W. -Q. Yao, R. Xu, Y. -L. Zhang, C. Xu, Y. -Z. Qi, B. -X. Hou, P. -Y. He, L. Zhou, Z. -C. Duan, L. -M. Quantum Physics Quantum simulators with hundreds of qubits and engineerable Hamiltonians have the potential to explore quantum many-body models that are intractable for classical computers. However, learning the simulated Hamiltonian, a prerequisite for any applications of a quantum simulator, remains an outstanding challenge due to the fast increasing time cost with the qubit number and the lack of high-fidelity universal gate operations in the noisy intermediate-scale quantum era. Here we demonstrate the Hamiltonian learning of a two-dimensional ion trap quantum simulator with 300 qubits. We employ global manipulations and single-qubit-resolved state detection to efficiently learn the all-to-all-coupled Ising model Hamiltonian, with the required quantum resources scaling at most linearly with the qubit number. Our work paves the way for wide applications of large-scale ion trap quantum simulators. |
| title | Hamiltonian learning for 300 trapped ion qubits with long-range couplings |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2408.03801 |