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Hybrid qubit-boson gate achieves high fidelity in circuit QED simulations

Researchers at Aix-Marseille University, CNRS and C12 Quantum Electronics have demonstrated a hybrid qubit-boson gate in a circuit QED platform, using a carbon nanotube double quantum dot as the mechanical element.

Hybrid qubit-boson gate achieves high fidelity in circuit QED simulations

Researchers at Aix Marseille Univ, CNRS, LIS, Marseille, France, and C12 Quantum Electronics, Paris, France, have developed a hybrid qubit-boson gate within a circuit quantum electrodynamics (cQED) platform. This gate uses an exchange-dressed two-level subsystem of an interacting two-qubit system, incorporating a microwave cavity mode directly into qubit interactions and leveraging Kerr nonlinearity for control. The team highlights carbon-nanotube circuit QED as a promising technology for implementing this approach, moving beyond theoretical discussions to practical qubit control applications. The gate serves as a building block for advanced architectures, such as quantum-cellular-automaton and lattice-gauge-inspired designs, with potential implications for complex many-body dynamics.

The design of this quantum gate utilizes the interaction between qubit exchange interactions and microwave cavity nonlinearity, aiming for scalable and efficient quantum processors. The researchers describe a "hybrid qubit-boson beam-splitter gate" where the microwave cavity plays an active role in quantum computation. Carbon nanotubes are identified as advantageous due to their electrically tunable exchange interactions and strong qubit-photon coupling. This gate design supports many-body dynamics and suggests connections to noisy quantum-cellular-automaton (QCA) and reservoir-style quantum information processing. Through modeling and simulations, the team has derived an analytical expression for the average gate fidelity, providing a benchmark for their results.

The research focuses on practical quantum gate implementation within specific hardware constraints, proposing a model where the cavity actively participates in gate dynamics. The incorporation of Kerr nonlinearity allows for number-dependent phase control, and the model accounts for realistic dissipation effects from both photons and qubits. This gate primitive supports many-body dynamics and connects to noisy QCA and non-Markovian extensions. The researchers provide a theoretical foundation for future experimental work.

The team at Aix Marseille Univ, CNRS, LIS, and C12 Quantum Electronics is advancing quantum gate performance by maintaining fidelity despite environmental interactions. Their work provides an analytical expression for average gate fidelity, crucial for practical quantum computation. This approach enables rapid gate quality assessment without relying solely on simulations. The model centers on a "hybrid qubit-boson beam-splitter gate," utilizing superconducting qubits and microwave cavity photons. Carbon-nanotube circuit QED is identified as a platform for this gate, offering high connectivity and scalability.

Numerical simulations validate the gate dynamics and benchmark analytical results. The effective dissipative dynamics are consistent across different modeling approaches, demonstrating robustness and opening avenues for alternative control mechanisms. Carbon nanotubes offer unique advantages, such as creating double quantum dots with electrically tunable exchange interactions, facilitating high connectivity and precise microwave control. This architecture aligns with hardware-oriented QCA, building on existing work in noisy quantum-walk dynamics on semiconducting spin-processors.

The researchers are focusing on integrating qubits and bosonic modes, specifically microwave cavities, into novel gate primitives. This approach actively involves the cavity in quantum processing, supporting advanced models like QCA and lattice-gauge-inspired architectures. An analytical expression for average gate fidelity is obtained, with simulations studying gate dynamics. The same effective dissipative dynamics are achieved through different modeling approaches, confirming the model's robustness.

Source: Carbon Nanotubes Feed

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