Understanding Qubit Stabilising(Quantum Computing+ Artificial Intelligence) | by Monodeep Mukherjee | Aug, 2022 – Medium

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  1. Feedback exponential stabilization of GHZ states of multi-qubit systems(arXiv)

Author : Weichao Liang, Nina H. Amini, Paolo Mason

Abstract : In this paper, we consider stochastic master equations describing the evolution of a multi-qubit system interacting with electromagnetic fields undergoing continuous-time measurements. By considering multiple z-type (Pauli z matrix on different qubits) and x-type (Pauli x matrix on all qubits) measurements and one control Hamiltonian, we provide general conditions on the feedback controller and the control Hamiltonian ensuring almost sure exponential convergence to a predetermined Greenberger-Horne-Zeilinger (GHZ) state, which is assumed to be a common eigenstate of the measurement operators. We provide explicit expressions of feedback controllers satisfying such conditions. We also consider the case of only z-type measurements and multiple control Hamiltonians, and we discuss asymptotic convergence towards a predetermined GHZ state. Finally, we demonstrate the effectiveness of our methodology for a three-qubit system through numerical simulations.

2. Stabilizing two-qubit entanglement with engineered synthetic squeezing(arXiv)

Author : L. C. G. Govia, A. Lingenfelter, A. A. Clerk

Abstract : It is well known that qubits immersed in a squeezed vacuum environment exhibit many exotic phenomena, including dissipative entanglement stabilization. Here, we show that these effects only require interference between excitation and decay processes, and can be faithfully mimicked without non-classical light using simple classical temporal modulation. We present schemes that harnesses this idea to stabilize entanglement between two remote qubits coupled via a transmission line or waveguide, where either the qubit-waveguide coupling is modulated, or the qubits are directly driven. We analyze the resilience of these approaches against various imperfections, and also characterize the trade-off between the speed and quality of entanglement stabilization. Our protocols are compatible with state of the art cavity QED systems.

3. Stabilization of product states and excited-state quantum phase transitions in a coupled qubit-field system(arXiv<strong class="…….

Source: https://medium.com/@monocosmo77/understanding-qubit-stabilising-neuroscience-artificial-intelligence-e72d4fb05c9?source=rss——technology-5

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