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Zhang, T. H. Kyaw, J. S. Kottmann, M. Degroote, and A. Aspuru-Guzik, “Mutual information-assisted adaptive variational quantum eigensolver,” Quantum Science and Technology, vol. 6, p. 035001, 2021.",{"type":18,"tag":26,"props":277,"children":278},{},[279],{"type":24,"value":280},"[2] A. Kandala, A. Mezzacapo, K. Temme, M. Takita, M. Brink, J. M. Chow, and J. M. Gambetta, “Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets,” nature, vol. 549, pp. 242–246, 2017.",{"type":18,"tag":26,"props":282,"children":283},{},[284],{"type":24,"value":285},"[3] H. L. Tang, V. Shkolnikov, G. S. Barron, H. R. Grimsley, N. J. Mayhall, E. Barnes, and S. E. Economou, “qubit-adapt-vqe: An adaptive algorithm for constructing hardware-efficient ans¨atze on a quantum processor,” PRX Quantum, vol. 2, p. 020310, 2021.",{"type":18,"tag":26,"props":287,"children":288},{},[289],{"type":24,"value":290},"[4] S.-X. Zhang, Z.-Q. Wan, C.-K. Lee, C.-Y. Hsieh, S. Zhang, and H. Yao, “Variational quantum-neural hybrid eigensolver,” Physical Review Letters, vol. 128, p. 120502, 2022.",{"type":18,"tag":26,"props":292,"children":293},{},[294],{"type":24,"value":295},"[5] H. R. Grimsley, S. E. Economou, E. Barnes, and N. J. Mayhall, “An adaptive variational algorithm for exact molecular simulations on a quantum computer,” Nature communications, vol. 10, p. 3007, 2019.",{"type":18,"tag":26,"props":297,"children":298},{},[299],{"type":24,"value":300},"[6] J. Liu, Z. Li, and J. Yang, “An efficient adaptive variational quantum solver of the schr¨odinger equation based on reduced density matrices,” The Journal of chemical physics, vol. 154, 2021.",{"type":18,"tag":26,"props":302,"children":303},{},[304],{"type":24,"value":305},"[7] C. Feniou, M. Hassan, D. Traor´e, E. Giner, Y. Maday, and J.-P. Piquemal, “Overlap-adapt-vqe: practical quantum chemistry on quantum computers via overlap-guided compact ansatze,” Communications Physics, vol. 6, p. 192, 2023.",{"type":18,"tag":26,"props":307,"children":308},{},[309],{"type":24,"value":310},"[8] A. Kandala, A. Mezzacapo, K. Temme, M. Takita, M. Brink, J. M. Chow, and J. M. Gambetta, “Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets,” nature, vol. 549, pp. 242–246, 2017.",{"type":18,"tag":26,"props":312,"children":313},{},[314],{"type":24,"value":315},"[9] Y. S. Yordanov, D. R. Arvidsson-Shukur, and C. H. Barnes, “Efficient quantum circuits for quantum computational chemistry,” Physical Review A, vol. 102, p. 062612, 2020.",{"type":18,"tag":26,"props":317,"children":318},{},[319],{"type":24,"value":320},"[10] M. Schuld, A. Bocharov, K. M. Svore, and N. Wiebe, “Circuit-centric quantum classifiers,” Physical Review A, vol. 101, p. 032308, 2020.",{"type":18,"tag":26,"props":322,"children":323},{},[324],{"type":24,"value":325},"[11] A. Peruzzo, J. McClean, P. Shadbolt, M.-H. Yung, X.-Q. Zhou, P. J. Love, A. Aspuru-Guzik, and J. L. O’brien, “A variational eigenvalue solver on a photonic quantum processor,” Nature communications, vol. 5, p. 4213, 2014.",{"title":7,"searchDepth":327,"depth":327,"links":328},4,[],"markdown","content:technology-blogs:zh:3768.md","content","technology-blogs/zh/3768.md","technology-blogs/zh/3768","md",1776506134837]