报告题目 | Towards chemical accuracy with shallow quantum circuits: A Clifford-based Hamiltonian engineering approach |
报告人 | 孙嘉策 博士 |
报告人单位 | California Institute of Technology |
报告时间 | 2024年3月12日 (星期二) 下午14:00-15:00 |
报告地点 | 物质科研B楼804会议室，腾讯会议：471-784-515 |
主办单位 | 精准智能化学重点实验室 |
报告摘要 | Quantum computing has emerged as a promising tool in advancing quantum chemistry, facilitating more accurate simulations of complex molecular systems. However, achieving chemical accuracy with shallow quantum circuits remains asignificant challenge in quantum computational chemistry, particularly for near-term quantum devices. In recent years, hybrid quantum variational algorithms leveraging the strengths of both classical and quantum computing have emerged as a promising solution to enhance accuracy while maintaining lower circuit depths. In this context, we introduce a novel protocol for identifying Clifford-based Hamiltonian transformations that generate near-optimal effective Hamiltonians for variational quantum eigenvalue problems. Furthermore, it imposes negligible overhead forclassical processing, requires no additional quantum resources, and seamlessly integrates with any hardware-efficient circuit ansatz. We demonstrate the efficacy of our approach using a quantum hardware emulator, achieving chemical accuracy for systems as large as 12 qubits with fewer than 30 two-qubit gates. Our Clifford-based Hamiltonian engineering approach offers a promising avenue for practical quantum computational chemistry on near-term quantum devices. |
报告人简介 | Jiace Sun obtained his BS from University of Science and Technology of China in 2019, He is currently a fifth-year PhD student at California Institute of Technology working on quantum computing, quantum chemistry, material simulations, and machine learning. |
