Ferguson R R, Dellantonio L, Balushi A Al, Jansen K, Dür W, Muschik C A
Institute for Quantum Computing and Department of Physics and Astronomy, University of Waterloo, Waterloo N2L 3G1, Canada.
NIC, DESY Zeuthen, Platanenallee 6, 15738 Zeuthen, Germany.
Phys Rev Lett. 2021 Jun 4;126(22):220501. doi: 10.1103/PhysRevLett.126.220501.
Variational quantum eigensolvers (VQEs) combine classical optimization with efficient cost function evaluations on quantum computers. We propose a new approach to VQEs using the principles of measurement-based quantum computation. This strategy uses entangled resource states and local measurements. We present two measurement-based VQE schemes. The first introduces a new approach for constructing variational families. The second provides a translation of circuit- to measurement-based schemes. Both schemes offer problem-specific advantages in terms of the required resources and coherence times.
变分量子本征求解器(VQEs)将经典优化与量子计算机上高效的成本函数评估相结合。我们提出了一种基于测量的量子计算原理的VQEs新方法。该策略使用纠缠资源态和局部测量。我们提出了两种基于测量的VQE方案。第一种引入了一种构建变分族的新方法。第二种提供了从基于电路的方案到基于测量的方案的转换。这两种方案在所需资源和相干时间方面都具有针对特定问题的优势。