
arXiv: 2209.11709
handle: 11577/3520029
Switching controlled dynamics allows for fast, flexible control design methods for quantum stabilization of pure states and subspaces, which naturally include both Hamiltonian and dissipative control actions. A novel approach to measurement-based, dissipative feedback design is introduced, and extends the applicability of switching techniques with respect to previously proposed ones, as it does not need stringent invariance assumptions, while it still avoids undesired chattering or Zeno effects by modulating the control intensity. When the switching dynamics do leave the target invariant, on the other hand, we show that exponential convergence to the target can be enforced without modulation, and switching times that can be either fixed or stochastic with hysteresis to avoid chattering. The effectiveness of the proposed methods is illustrated via numerical simulations of simple yet paradigmatic examples, demonstrating how switching strategies converge faster than open-loop engineered dissipation.
27 pages, 3 figures
Quantum Physics, switched system, FOS: Physical sciences, Quantum control, Switched system; Quantum entanglement; Stability analysis; Stochastic processes; Lyapunov methods, Feedback control, quantum entanglement, stability analysis, Optimization and Control (math.OC), FOS: Mathematics, Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems), stochastic processes, Stochastic stability in control theory, Quantum Physics (quant-ph), Mathematics - Optimization and Control, Lyapunov methods
Quantum Physics, switched system, FOS: Physical sciences, Quantum control, Switched system; Quantum entanglement; Stability analysis; Stochastic processes; Lyapunov methods, Feedback control, quantum entanglement, stability analysis, Optimization and Control (math.OC), FOS: Mathematics, Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems), stochastic processes, Stochastic stability in control theory, Quantum Physics (quant-ph), Mathematics - Optimization and Control, Lyapunov methods
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