Modular Quantum Information Processing by Dissipation

TL;DR

This paper introduces a scalable, dissipation-based modular model for universal quantum computation and simulation, demonstrating the preparation of quantum gates, quantum memory, and robustness to errors.

Contribution

It presents a novel dissipation-driven modular framework for quantum computing that is scalable, robust, and capable of simulating Lindbladian dynamics.

Findings

Successfully dissipatively prepared all single qubit gates and CNOT gate.

Implemented a dissipative quantum memory with controllable coherence and concurrence.

Exhibited robustness to Hamiltonian and Lindbladian errors.

Abstract

Dissipation can be used as a resource to control and simulate quantum systems. We discuss a modular model based on fast dissipation capable of performing universal quantum computation, and simulating arbitrary Lindbladian dynamics. The model consists of a network of elementary dissipation-generated modules and it is in principle scalable. In particular, we demonstrate the ability to dissipatively prepare all single qubit gates, and the CNOT gate; prerequisites for universal quantum computing. We also show a way to implement a type of quantum memory in a dissipative environment, whereby we can arbitrarily control the loss in both coherence, and concurrence, over the evolution. Moreover, our dissipation-assisted modular construction exhibits a degree of inbuilt robustness to Hamiltonian, and indeed Lindbladian errors, and as such is of potential practical relevance.