Utilizing Quantum Processor for the Analysis of Strongly Correlated Materials

• URL: http://arxiv.org/abs/2404.02509v2
• Date: Thu, 1 Aug 2024 06:11:18 GMT
• Title: Utilizing Quantum Processor for the Analysis of Strongly Correlated Materials
• Authors: Hengyue Li, Yusheng Yang, Pin Lv, Jinglong Qu, Zhe-Hui Wang, Jian Sun, Shenggang Ying,
• Abstract summary: This study introduces a systematic approach for analyzing strongly correlated systems by adapting the conventional quantum cluster method to a quantum circuit model. We have developed a more concise formula for calculating the cluster's Green's function, requiring only real-number computations on the quantum circuit instead of complex ones.
• Score: 34.63047229430798
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This study introduces a systematic approach for analyzing strongly correlated systems by adapting the conventional quantum cluster method to a quantum circuit model. We have developed a more concise formula for calculating the cluster's Green's function, requiring only real-number computations on the quantum circuit instead of complex ones. This approach is inherently more suited to quantum circuits, which primarily yield statistical probabilities. As an illustrative example, we explored the Hubbard model on a 2D lattice. The ground state is determined utilizing Xiaohong, a superconducting quantum processor equipped with 66 qubits, supplied by QuantumCTek Co., Ltd. Subsequently, we employed the circuit model to compute the real-time retarded Green's function for the cluster, which is then used to determine the lattice Green's function. We conducted an examination of the band structure in the insulator phase of the lattice system. This preliminary investigation lays the groundwork for exploring a wealth of innovative physics within the field of condensed matter physics.

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