Reliable analog quantum simulation and quantum complexity

Presenting Author: Karthik Chinni, University of New Mexico
Contributing Author(s): Pablo Poggi, Ivan Deutsch

An analog quantum simulator does not employ digital gates and typically does not employ quantum error correction. Yet, one hopes such devices can achieve a “quantum advantage,” i.e., enable the simulation of some property that cannot be simulated efficiently on a classical computer. Typically, one considers “universal” properties in condensed matter, as these are the quantities that are robust in the presence of perturbations [1]. What is the relationship between robustness and complexity? Are the robust properties efficiently simulatable on a classical computer, and the complex properties hyper-sensitive to perturbation? To address these questions, we seek to quantify the reliability of an analog quantum simulator while simulating complex systems and thereby identify these universal quantities. We study a “programmable” analog quantum simulator in the 16-dimensional Hilbert space based on optimal control of atomic spins in cesium [2], and study the basic paradigms such as the excited state quantum phase transitions [3] in the Lipkin-Meshkov-Glick (LMG) model [3].

(Session 5 : Sunday from 5:00pm - 7:00pm)


SQuInT Chief Organizer
Akimasa Miyake, Associate Professor

SQuInT Local Organizers
Rafael Alexander, Postdoctoral Fellow
Chris Jackson, Postdoctoral Fellow

SQuInT Administrator
Gloria Cordova
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SQuInT Assistant
Wendy Jay

SQuInT Founder
Ivan Deutsch, Regents' Professor, CQuIC Director

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