A framework to simulate the same physics using two different Hamiltonians

A framework to simulate the same physics using two different Hamiltonians
Fidelity between quantum states generated by the one-axis twisting Hamiltonian and the states generated by the Heisenberg XXX model with staggered field. Credit: Gietka et al.

Researchers at Okinawa Institute of Science and Technology Graduate University in Japan have recently been investigating situations in which two distinct Hamiltonians could be used to simulate the same physical phenomena. A Hamiltonian is a function or model used to describe a dynamic system, such as the motion of particles.

In a paper published in Physical Review Letters, the researchers introduced a framework that could prove useful for simulating the same physics with two distinct Hamiltonians. In addition, they provide an example of an analog simulation and show how one could build an alternative version of a digital quantum simulator.

"The idea came about when I was looking at the dynamical generation of entanglement in spin chains," Karol Gietka, one of the researchers who carried out the study, told Phys.org. "I noticed that the behavior of entanglement as a function of time in a certain model very much resembles entanglement behavior in the paradigmatic one-axis twisting model. Initially, I thought that one could map one system onto another one, but it was not possible as the Hamiltonians of the two systems were very different, which really confused me."

Gietka set out to rethink the principles of quantum simulators and then realized that in addition to the Hamiltonian, the initial state should also be taken into account as an ingredient of quantum simulators. Gietka and his colleagues defined a 'connector' operator and found that the same dynamics is observed from two different Hamiltonians if the is an eigenstate of the connector.

This result indicates that using the same Hamiltonian is not always a necessary condition. As an example, they showed that the physics of one-axis twisting can be simulated by a spin chain with an external field, even though the one-axis twisting model has infinite range interactions and this spin chain has only nearest-neighboring interactions. The Hamiltonian of these two models are physically different, i.e. having different energy spectra, but still one can simulate the one with the other if the dynamics starts with special states.

"The advantage of such an approach is that it relaxes the conditions imposed on the universal quantum simulator—-a quantum machine capable of simulating an arbitrary physical system," Gietka said. "One of its applications, which we present in our paper, is the creation of maximally entangled states of many-body systems exploiting only the interactions between the nearest elements of the system. Another application is an alternative version of the digital quantum simulator which might turn out to be less complex in certain cases than the original digital simulator."

Remarkably, the fact that a quantum simulator Hamiltonian can differ greatly from the Hamiltonian one wants to simulate could extend the scope of quantum simulation, as it means that one could create a whose Hamiltonian does not agree with that of any systems existing in the world. These researchers' work could thus enable the design and realization of different types of quantum devices.

"I am now investigating how the idea of simulating the same physics with two distinct Hamiltonians can be harnessed to simulate physics of exotic quantum systems which seemingly should not exist," Gietka said. "I am also trying to figure out how one can use that idea in quantum metrology to collect precise measurements of unknown physical parameters."

More information: Simulating the same physics with two distinct Hamiltonians. Physical Review Letters(2021). DOI: 10.1103/PhysRevLett.126.160402.

Journal information: Physical Review Letters

© 2021 Science X Network

Citation: A framework to simulate the same physics using two different Hamiltonians (2021, June 7) retrieved 3 October 2023 from https://phys.org/news/2021-06-framework-simulate-physics-hamiltonians.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

Machine learning algorithm helps unravel the physics underlying quantum systems


Feedback to editors