The framework of quantum invariants is an elegant generalization of adiabatic quantum control to control fields that do not need to change slowly. Due to the unavailability of invariants for systems with more than one spatial dimension, the benefits of this framework have not yet been exploited in multi-dimensional systems. We construct a multi-dimensional Gaussian quantum invariant that permits the design of time-dependent potentials that let the ground state of an initial potential evolve towards the ground state of a final potential. The scope of this framework is demonstrated with the task of shuttling an ion around a corner which is a paradigmatic control problem in achieving scalability of trapped ion quantum information technology
Quantum reservoir computing aims at harnessing the rich dynamics of quantum systems for machine-lear...
Understanding how to tailor quantum dynamics to achieve a desired evolution is a crucial problemin a...
We establish the potential of continuous-variable Gaussian states of linear dynamical systems for ma...
Quantum information processing with trapped ions is a mature field in which single and multiple qub...
We establish the potential of continuous-variable Gaussian states in performing reservoir computing ...
A precisely controlled quantum system may reveal a fundamental understanding of another, less access...
A precisely controlled quantum system may reveal a fundamental understanding of another, less access...
Adiabatic processes in quantum mechanics are very useful to prepare and manipulate quantum states bu...
International audienceWe propose a new quantum numerical scheme to control the dynamics of a quantum...
International audienceWe propose a new quantum numerical scheme to control the dynamics of a quantum...
International audienceWe propose a new quantum numerical scheme to control the dynamics of a quantum...
International audienceWe propose a new quantum numerical scheme to control the dynamics of a quantum...
International audienceWe propose a new quantum numerical scheme to control the dynamics of a quantum...
International audienceAbstract We propose a new quantum numerical scheme to control the dynamics of ...
International audienceAbstract We propose a new quantum numerical scheme to control the dynamics of ...
Quantum reservoir computing aims at harnessing the rich dynamics of quantum systems for machine-lear...
Understanding how to tailor quantum dynamics to achieve a desired evolution is a crucial problemin a...
We establish the potential of continuous-variable Gaussian states of linear dynamical systems for ma...
Quantum information processing with trapped ions is a mature field in which single and multiple qub...
We establish the potential of continuous-variable Gaussian states in performing reservoir computing ...
A precisely controlled quantum system may reveal a fundamental understanding of another, less access...
A precisely controlled quantum system may reveal a fundamental understanding of another, less access...
Adiabatic processes in quantum mechanics are very useful to prepare and manipulate quantum states bu...
International audienceWe propose a new quantum numerical scheme to control the dynamics of a quantum...
International audienceWe propose a new quantum numerical scheme to control the dynamics of a quantum...
International audienceWe propose a new quantum numerical scheme to control the dynamics of a quantum...
International audienceWe propose a new quantum numerical scheme to control the dynamics of a quantum...
International audienceWe propose a new quantum numerical scheme to control the dynamics of a quantum...
International audienceAbstract We propose a new quantum numerical scheme to control the dynamics of ...
International audienceAbstract We propose a new quantum numerical scheme to control the dynamics of ...
Quantum reservoir computing aims at harnessing the rich dynamics of quantum systems for machine-lear...
Understanding how to tailor quantum dynamics to achieve a desired evolution is a crucial problemin a...
We establish the potential of continuous-variable Gaussian states of linear dynamical systems for ma...