Modular Quantum Information Processing by Dissipation

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.

8 pages (plus appendix). 8 figures. Version 2: 'Introduction' updated based on referee comments

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Cited by in corpus (10)

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• Noise suppression via generalized-Markovian processes
• Engineering fidelity of the generalized Pauli channels via legitimate memory kernels
• Dissipative generation of pure steady states and a gambler's ruin problem
• Engineering classical capacity of generalized Pauli channels with admissible memory kernels
• Classifying quantum data by dissipation
• Enhancing phase-covariant channel performance with non-unitality
• Preparing Renormalization Group Fixed Points on NISQ Hardware
• Improving classical capacity of qubit dynamical maps through stationary state manipulation
• Switching pure states of the dissipative Heisenberg XXZ chain by local magnetic fields