Tensor Network Methods for the Driven-Dissipative Dynamics of Polariton Lattice Quantum Simulators

Lead Research Organisation: University College London
Department Name: London Centre for Nanotechnology

Abstract

Light matter based quantum simulation platforms such as polariton lattices and circuit QED systems have recently shown the ability to support stong many-body quantum correlations. Here, the strong correlations between light-matter particles lead to highly non-classical phenomena such as photon blockade, superfluid to Mott insulator phase transitions and non-linear topological physics. Numerical methods to understand these systems in one- and two- dimensions have mostly been restricted to mean field theories which are expected to break down in the limit of strong correlations. In this work, new methods based on tensor networks are developed to simulate driven dissipative many-body systems in the strongly correlated regime. These methods are based on matrix products states (MPS) for one-dimensional systems and projected entangled pair states (PEPS) for two-dimensional systems. It is expected that these new techniques will offer valuable insight into the dynamics of strongly correlated light-matter systems.

Planned Impact

Quantum technologies promise a transformation of the fields of measurement, communication and information processing. They present a particular opportunity since they are disruptive technologies: not only do they offer a chance for rapid growth but they also allow lesser participants in a field (such as the UK in IT) to become major players through appropriate risk-taking and manpower development. Students graduating from the InQuBATE Skills Hub will have the right mindset to work in the industries where quantum technologies will be applied, and help to break down the traditional barriers between those sectors to make this transformation happen. They will have all the necessary technical and transferable skills, plus a network of contacts with our partners, their fellow cohort members and the academic supervisors.

Our commercial partners are keen to help our students realise their potential and achieve the impact we expect of them, through the training they offer and their contributions to the centre's research. They include companies who have already developed quantum technologies to products in quantum communication (Toshiba) and optimization (D-Wave), large corporates who are investing in quantum technology because they see its potential to transform their businesses in aerospace, defence, instrumentation and internet services (Lockheed Martin, Google,) and government agencies with key national responsibilities (NPL). We want to see the best communication of our students' research, so our students will benefit from the existing training programme set up with a leading scientific publisher (Nature Publishing Group); we also want to see more of the future companies that lead this field based the UK, so we have partnered with venture capital group DFJ Esprit to judge and mentor the acceleration of our students' innovations toward the market.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/P510270/1 01/04/2016 31/08/2022
1781320 Studentship EP/P510270/1 01/10/2016 31/03/2021 Conor Mc Keever
 
Description I have developed a new numerical technique based on tensor networks to simulate out-of-equilibrium and steady state dynamics of two-dimensional quantum lattice models.
Exploitation Route The algorithm and the techniques used therein can be adapted to be used in different contexts, different models and and in higher dimensions.
Sectors Digital/Communication/Information Technologies (including Software),Electronics,Energy,Pharmaceuticals and Medical Biotechnology

URL https://arxiv.org/abs/2012.12233
 
Title iPEPO Tensor Network Method for Two-Dimensional Open Quantum Systems 
Description The research tool is a numerical algorithm using to calculate dynamics and steady state properties of large two-dimensional quantum systems which interact with their environment. The method is based on a two-dimensional tensor network ansatz the Infinite Projected Entangled Pair Operator and proves able to accurately calculate time dynamics and steady state properties of large spin arrays. 
Type Of Material Improvements to research infrastructure 
Year Produced 2020 
Provided To Others? No  
Impact The tool has allowed our research group to numerically investigate the physics of large two-dimensional open quantum systems. 
URL https://arxiv.org/abs/2012.12233
 
Title Steady State Tensor Network Algorithm - Two Dimensional Systems 
Description This is a new technique for solving two dimensional quantum lattice models in an out-of-equilibrium setting. 
Type Of Technology New/Improved Technique/Technology 
Year Produced 2018 
Impact
 
Description Public engagement video 
Form Of Engagement Activity A broadcast e.g. TV/radio/film/podcast (other than news/press)
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact I took part in a public engagement video which details the ongoing research in our group . This video is hosted on our group website and reaches an international audience. We think the video has led to an increased interest from potential summer students.
Year(s) Of Engagement Activity 2018
URL https://qlm-ucl.org/