Hartree-Fock on a superconducting qubit quantum computer

doi:10.1126/science.abb9811

GSTDTAP > 气候变化

DOI	10.1126/science.abb9811
	Hartree-Fock on a superconducting qubit quantum computer
	Google AI Quantum and Collaborators*†
	2020-08-28
发表期刊	Science
出版年	2020
英文摘要	Accurate electronic structure calculations are considered one of the most anticipated applications of quantum computing that will revolutionize theoretical chemistry and other related fields. Using the Google Sycamore quantum processor, Google AI Quantum and collaborators performed a variational quantum eigensolver (VQE) simulation of two intermediate-scale chemistry problems: the binding energy of hydrogen chains (as large as H12) and the isomerization mechanism of diazene (see the Perspective by Yuan). The simulations were performed on up to 12 qubits, involving up to 72 two-qubit gates, and show that it is possible to achieve chemical accuracy when VQE is combined with error mitigation strategies. The key building blocks of the proposed VQE algorithm are potentially scalable to larger systems that cannot be simulated classically. Science , this issue p. [1084][1]; see also p. [1054][2] The simulation of fermionic systems is among the most anticipated applications of quantum computing. We performed several quantum simulations of chemistry with up to one dozen qubits, including modeling the isomerization mechanism of diazene. We also demonstrated error-mitigation strategies based on N -representability that dramatically improve the effective fidelity of our experiments. Our parameterized ansatz circuits realized the Givens rotation approach to noninteracting fermion evolution, which we variationally optimized to prepare the Hartree-Fock wave function. This ubiquitous algorithmic primitive is classically tractable to simulate yet still generates highly entangled states over the computational basis, which allowed us to assess the performance of our hardware and establish a foundation for scaling up correlated quantum chemistry simulations. [1]: /lookup/doi/10.1126/science.abb9811 [2]: /lookup/doi/10.1126/science.abd3880
领域	气候变化 ; 资源环境
URL	查看原文
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/293223
专题	气候变化资源环境科学
推荐引用方式 GB/T 7714	Google AI Quantum and Collaborators*†. Hartree-Fock on a superconducting qubit quantum computer[J]. Science,2020.
APA	Google AI Quantum and Collaborators*†.(2020).Hartree-Fock on a superconducting qubit quantum computer.Science.
MLA	Google AI Quantum and Collaborators*†."Hartree-Fock on a superconducting qubit quantum computer".Science (2020).