研究目的
To implement nonadiabatic geometric quantum computation on a two-dimensional square superconducting qubit lattice using parametrically tunable coupling between qubits, aiming for high-fidelity and robust quantum gates.
研究成果
The proposed scheme for nonadiabatic geometric quantum computation on a 2D square superconducting qubit lattice, utilizing parametrically tunable coupling, offers a promising path toward high-fidelity and robust quantum gates. The approach simplifies the control requirements by avoiding auxiliary states and leverages composite scenarios to mitigate systematic errors. Additionally, the method supports decoherence-free subspace encoding with minimal qubit resources, enhancing its applicability for large-scale quantum computation.
研究不足
The study acknowledges the challenge of implementing nonadiabatic geometric quantum computation due to the need for complex control over multilevel and/or multiple quantum systems. The experimental realization is constrained by the requirement for precise control over qubit states and interactions, as well as the potential for decoherence and systematic errors.
1:Experimental Design and Method Selection:
The study proposes a scheme for implementing nonadiabatic geometric quantum computation on a 2D square lattice of capacitively coupled superconducting transmon qubits, utilizing parametrically tunable all-resonant interaction for gate operations.
2:Sample Selection and Data Sources:
The research focuses on superconducting transmon qubits arranged in a 2D lattice, with specific attention to the interaction between adjacent qubits.
3:List of Experimental Equipment and Materials:
The setup involves superconducting transmon qubits, microwave fields for control, and parametric driving for tunable coupling.
4:Experimental Procedures and Operational Workflow:
The methodology includes dividing the evolution time into parts for geometric gate construction, applying microwave fields for qubit control, and using parametric driving to achieve tunable coupling between qubits.
5:Data Analysis Methods:
Performance of quantum gates is evaluated through numerical simulations, including gate fidelity calculations under various conditions such as decoherence and systematic errors.
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