Engineering quantum dynamics

By Seth Lloyd, L. Viola. 2001

173 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/5b748a3a12b9ea3e09d96c6cb099bbc609d04b65

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In Artificial Intelligence

In Atomic and Molecular Physics, and Optics

Citations in the corpus

Geometry and Response of Lindbladians (2015, unknown): “This is because the evolution caused by etH∞ is happening in conjunction with the nonunitary decay of Pjρin⟫, which can be interpreted as H∞ affecting the “flow” of parts of Pjρin⟫ into AsðHÞ.”
Controllability properties for finite dimensional quantum Markovian master equations (2002, methodology): “…Studies via Beirut 2-4, 34014 Trieste, Italy ∗ Various notions from geometric control theory are used to characterize the behavior of the Markovian master equation for N-level quantum mechanical systems driven by unitary control and to describe the structure of the sets of reachable states.”
Engineered Open Systems and Quantum Simulations with Atoms and Ions (2012, methodology): “The dissipative maps are engineered with the aid of an ancilla “environment” qubit (Lloyd and Viola, 2001; Dür et al., 2008) and a quantum circuit of coherent and dissipative operations.”
Training Schrödinger’s cat: quantum optimal control (2015, background): “ion back-ﬂow from the environment to the system [53]. Indeed, an explorative study showed non-Markovian map synthesis to be stronger than its restriction to the Markovian case (as anticipated in Ref. [257]). In contrast, and surprisingly so, for the simpler problem of state transfer under swichable ”
Quantum control theory and applications: A survey (2009, unknown): “more, if all kinds of coherent and incoherent resources are available, in principle, we can control a (closed or open) quantum system from an arbitrary initial state to a predeﬁned target state [95], [96]. 4 Some results on closed-loop design methods As presented in Section 3, open-loop control has ”
Engineered dissipation for quantum information science (2022, background): “The integration of this classical information into a feedback circuit can alter dynamics 102 , stabilizing target states of the system 103 , or optimizing information that is extracted about the system 10,104,105 .”