Year: 2023
Type: article
Abstract: Optimal quantum control of continuous variable systems poses a formidable computational challenge because of the high-dimensional character of the system dynamics. The framework of quantum invariants can significantly reduce the complexity of such problems, but it requires the knowledge of an invariant compatible with the Hamiltonian of the system in question. We explore the potential of a Gaussian invariant that is suitable for quadratic Hamiltonians with any given number of motional degrees of freedom for quantum optimal control problems that are inspired by current challenges in ground-state to ground-state shuttling of trapped ions.
Source: Physical Review A
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,675
Awards: Quantum technology with nanofabricated ion trap chips, G113469725, EPSRC Centre for Doctoral Training in Quantum Engineering, Ion trap arrays for scalable quantum computing, G5127293296, Developing an error corrected quantum processor solution for commercial quantum computing, EPSRC Hub in Quantum Computing and Simulation, ESCHER: Establishing Supply Chains for Emergent Quantum Computers
OpenAlex ID: W4385577467