期刊
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
卷 52, 期 4, 页码 -出版社
IOP PUBLISHING LTD
DOI: 10.1088/1751-8121/aaf54d
关键词
entanglement; entropy; algorithm; NISQ
资金
- LDRD program at Los Alamos National Laboratory (LANL)
- US Department of Energy through the J Robert Oppenheimer fellowship
- LANL ASC Beyond Moore's Law project
Noisy intermediate-scale quantum (NISQ) computers have gate errors and decoherence, limiting the depth of circuits that can be implemented on them. A strategy for NISQ algorithms is to reduce the circuit depth at the expense of increasing the qubit count. Here, we exploit this trade-off for an application called entanglement spectroscopy, where one computes the entanglement of a state vertical bar psi > on systems AB by evaluating the Renyi entropy of the reduced state rho(A) = Tr-B(vertical bar psi > and whose depth scales linearly in k*n. Here, we present a quantum algorithm requiring twice the qubit resources (2n copies of vertical bar psi >) but with a depth that is independent of both k and n. Surprisingly this depth is only two gates. Our numerical simulations show that this short depth leads to an increased robustness to noise.
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。
推荐
暂无数据