[Paper Review] Gate Optimization via Efficient Two-Qubit Benchmarking for NV Centers in Diamond
The paper develops an efficient closed-loop benchmarking protocol to optimize a two-qubit gate in NV centers by preparing only two states and performing four measurements, reducing tomography overhead by orders of magnitude, and demonstrates this with NV–13C spins.
High-fidelity gate implementation requires sophisticated control pulses that steer the quantum system to undergo the desired transformation. Quantum Optimal Control allows to derive these control pulses in an open-loop fashion based on numerical simulations. However, their precision can be limited by incomplete knowledge of the system. Closed-loop optimization overcomes this limitation by incorporating feedback from measurements, provided a suitable and efficient measure of the gate performance can be defined. In this article, we present an efficient method to evaluate the performance of a two-qubit gate by preparation and measurement of only two quantum states, enabling experimental closed-loop optimization with a metric previously believed to be limited to open-loop control. We tailor the approach to nitrogen-vacancy centers in diamond and, through numerical simulations, demonstrate how the method can optimize a two-qubit gate while reducing the number of required measurements by two orders of magnitude compared to standard process tomography under realistic experimental settings.
Motivation & Objective
- Motivate high-fidelity gate control for fragile quantum systems via closed-loop optimization.
- Develop a minimal-state benchmarking protocol to evaluate two-qubit gate performance.
- Tailor the benchmarking method to NV centers coupled to a 13C nuclear spin.
- Show, through simulations, how closed-loop calibration handles parameter uncertainty.
- Quantify gains in measurement efficiency compared to standard process tomography.
Proposed method
- Use a CnNOTe-style two-qubit gate target implemented via microwave control on the NV electron spin.
- Adopt the dressed Chopped RAndom Basis (dCRAB) quantum optimal control framework in open- and closed-loop modes.
- Define a gate performance metric F_J based on three probe states to avoid full process tomography.
- Show how averaging over phase-tuned preparations of a mixed-state rho_1 enables efficient F_J evaluation.
- Parametrize the microwave control with an envelope g(t) and a dCRAB expansion f(t) and optimize using Nelder-Mead within QuOCS.]
- Model a realistic NV–13C system with H_d and H_hf under secular approximation and include experimental constraints on drive amplitudes.

Experimental results
Research questions
- RQ1Can a two-state preparation and four-measurement protocol reliably benchmark and optimize a two-qubit gate in NV centers?
- RQ2How much measurement overhead can be reduced relative to standard process tomography while preserving gate fidelity optimization?
- RQ3Does closed-loop calibration using the proposed F_J metric reliably adapt open-loop-optimized pulses to parameter-uncertain, realistic NV–13C systems?
- RQ4What are the practical SPAM considerations and readout strategies to extract F_J in NV-based two-qubit gates?
Key findings
- An efficient benchmarking protocol based on two prepared states and four measurements enables experimental closed-loop optimization of a two-qubit gate.
- Open-loop optimization achieved a gate fidelity F_sm of 99.97% for the target gate.
- State preparation for the rho_1 probe achieves a diagonal-entries fidelity of 99.9993%.
- State preparation for rho_2 achieves a fidelity of 99.93% with the ideal rho_2.
- Readout strategies yield a high-contrast measurement (C = 99.96%) for the diagonal components relevant to the F_J evaluation.
- Closed-loop adaptation across twenty sample NV–13C systems improves performance relative to the open-loop solution, illustrating robustness to parameter uncertainty.

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This review was created by AI and reviewed by human editors.