4.7 Article

The Bravyi-Kitaev transformation for quantum computation of electronic structure

期刊

JOURNAL OF CHEMICAL PHYSICS
卷 137, 期 22, 页码 -

出版社

AMER INST PHYSICS
DOI: 10.1063/1.4768229

关键词

-

资金

  1. National Science Foundation Centers for Chemical Innovation (NSF CCI) center [CHE-1037992]
  2. NSF [PHY-0955518]
  3. Division Of Chemistry
  4. Direct For Mathematical & Physical Scien [1037992] Funding Source: National Science Foundation
  5. Division Of Physics
  6. Direct For Mathematical & Physical Scien [0955518] Funding Source: National Science Foundation

向作者/读者索取更多资源

Quantum simulation is an important application of future quantum computers with applications in quantum chemistry, condensed matter, and beyond. Quantum simulation of fermionic systems presents a specific challenge. The Jordan-Wigner transformation allows for representation of a fermionic operator by O(n) qubit operations. Here, we develop an alternative method of simulating fermions with qubits, first proposed by Bravyi and Kitaev [Ann. Phys. 298, 210 ( 2002); e-print arXiv:quant-ph/0003137v2], that reduces the simulation cost to O( log n) qubit operations for one fermionic operation. We apply this new Bravyi-Kitaev transformation to the task of simulating quantum chemical Hamiltonians, and give a detailed example for the simplest possible case of molecular hydrogen in a minimal basis. We show that the quantum circuit for simulating a single Trotter time step of the Bravyi-Kitaev derived Hamiltonian for H-2 requires fewer gate applications than the equivalent circuit derived from the Jordan-Wigner transformation. Since the scaling of the Bravyi-Kitaev method is asymptotically better than the Jordan-Wigner method, this result for molecular hydrogen in a minimal basis demonstrates the superior efficiency of the Bravyi-Kitaev method for all quantum computations of electronic structure. (C) 2012 American Institute of Physics. [http://dx.doi.org/10.1063/1.4768229]

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据