Qualitative differences in the robust controllability of model two-qubit systems
Anirban Dey, Mattias T. Johnsson, and Daniel Burgarth

TL;DR
This paper investigates how uncertainties in Hamiltonian parameters affect the controllability of two-qubit quantum systems, proposing methods to optimize control pulses for robustness and analyzing qualitative differences between the systems.
Contribution
It introduces a framework combining theoretical assessment and numerical discretization to evaluate and enhance robust controllability under parameter uncertainty in quantum systems.
Findings
Robust controllability varies qualitatively between the two models.
Adding a penalty term improves control pulse robustness.
Discretization aids in predicting controllability under uncertainty.
Abstract
The precise implementation and manipulation of quantum gates is key to extracting advantages from future quantum technologies. Achieving this requires very accurate control over the quantum system. If one has complete knowledge about a Hamiltonian, accurate manipulation of the system is possible. However, in real scenarios, there will often be some uncertainty in the parameters of the Hamiltonian, which makes full control of the system either difficult or impossible. In this paper we consider two model Hamiltonians with a continuous parameter that is partly unknown. We assess robust controllability against this parameter uncertainty using existing theoretical frameworks and take a numerical route by discretizing the unknown parameter in the cases where we cannot predict controllability. Furthermore, we introduce a penalty term into the fidelity function to optimize control pulses,…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture
