Probing finite-temperature observables in quantum simulators with short-time dynamics
Probing finite-temperature observables in quantum simulators with short-time dynamics
复制标题
利用短时动力学探测量子模拟器中的有限温度可观测量
DOI:
--
复制
发表时间:
2022
期刊:
影响因子:
--
通讯作者:
M. Knap
中科院分区:
文献类型:
--
作者:
A. Schuckert;A. Bohrdt;E. Crane;M. Knap
Preparing low temperature states in quantum simulators is challenging due to their almost perfect isolation from the environment. Here, we show how finite-temperature observables can be obtained with an algorithm that consists of classical importance sampling of initial states and a measurement of the Loschmidt echo with a quantum simulator. We use the method as a quantum-inspired classical algorithm and simulate the protocol with matrix product states to analyze the requirements on a quantum simulator. This way, we show that a finite temperature phase transition in the long-range transverse field Ising model can be characterized in trapped ion quantum simulators. We propose a concrete measurement protocol for the Loschmidt echo and discuss the influence of measurement noise, dephasing, as well as state preparation and measurement errors. We argue that the algorithm is robust against those imperfections under realistic conditions. The algorithm can be readily applied to study low-temperature properties in various quantum simulation platforms. for ob-taining the phase of G ψ ( t ) with Ramsey experiments. The Loschmidt echo only needs to be measured to short-times Jt = O (1) [14]. c) The one-dimensional long-range transverse field Ising model exhibits a finite temperature phase transition from a ferromagnet to a paramag-net for α ≤ 2 (and transverse field g < g c ; here g = J ). At α = 2, the transition is in the Berenzinskii-Kosterlitz-Thouless universality class. In this work, we focus on α = 1 . 5 (grey dashed line).
登录
查看更多内容
影响因子:
19.6
作者:
Motta, Mario;Sun, Chong;Chan, Garnet Kin-Lic
通讯作者:
Chan, Garnet Kin-Lic
影响因子:
64.8
作者:
Bernien, Hannes;Schwartz, Sylvain;Lukin, Mikhail D.
通讯作者:
Lukin, Mikhail D.
影响因子:
56.9
作者:
David Wei;Antonio Rubio-Abadal;B. Ye;Francisco Machado;Jack Kemp;K. Srakaew;Simon Hollerith;Jun Rui;S. Gopalakrishnan;N. Yao;I. Bloch;J. Zeiher
通讯作者:
David Wei;Antonio Rubio-Abadal;B. Ye;Francisco Machado;Jack Kemp;K. Srakaew;Simon Hollerith;Jun Rui;S. Gopalakrishnan;N. Yao;I. Bloch;J. Zeiher
影响因子:
64.8
作者:
Jepsen, Paul Niklas;Amato-Grill, Jesse;Ketterle, Wolfgang
通讯作者:
Ketterle, Wolfgang
影响因子:
3.7
作者:
Birnkammer, Stefan;Bohrdt, Annabelle;Grusdt, Fabian;Knap, Michael
通讯作者:
Knap, Michael