Chen Ming-Cheng, Gong Ming, Xu Xiaosi, Yuan Xiao, Wang Jian-Wen, Wang Can, Ying Chong, Lin Jin, Xu Yu, Wu Yulin, Wang Shiyu, Deng Hui, Liang Futian, Peng Cheng-Zhi, Benjamin Simon C, Zhu Xiaobo, Lu Chao-Yang, Pan Jian-Wei
Shanghai Branch, National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Shanghai 201315, China.
CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China.
Phys Rev Lett. 2020 Oct 30;125(18):180501. doi: 10.1103/PhysRevLett.125.180501.
Adiabatic quantum computing enables the preparation of many-body ground states. Realization poses major experimental challenges: Direct analog implementation requires complex Hamiltonian engineering, while the digitized version needs deep quantum gate circuits. To bypass these obstacles, we suggest an adiabatic variational hybrid algorithm, which employs short quantum circuits and provides a systematic quantum adiabatic optimization of the circuit parameters. The quantum adiabatic theorem promises not only the ground state but also that the excited eigenstates can be found. We report the first experimental demonstration that many-body eigenstates can be efficiently prepared by an adiabatic variational algorithm assisted with a multiqubit superconducting coprocessor. We track the real-time evolution of the ground and excited states of transverse-field Ising spins with a fidelity that can reach about 99%.
绝热量子计算能够制备多体基态。其实现面临重大实验挑战:直接模拟实现需要复杂的哈密顿量工程,而数字化版本则需要深度量子门电路。为绕过这些障碍,我们提出一种绝热变分混合算法,该算法采用短量子电路,并对电路参数进行系统的量子绝热优化。量子绝热定理不仅保证能得到基态,还保证能找到激发本征态。我们报告了首个实验证明,即通过一个多量子比特超导协处理器辅助的绝热变分算法可以高效制备多体本征态。我们以约99%的保真度追踪横向场伊辛自旋基态和激发态的实时演化。