quantum gate design
2 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Most implemented papers
Learning in Quantum Control: High-Dimensional Global Optimization for Noisy Quantum Dynamics
Quantum control is valuable for various quantum technologies such as high-fidelity gates for universal quantum computing, adaptive quantum-enhanced metrology, and ultra-cold atom manipulation.
Model-free Quantum Gate Design and Calibration using Deep Reinforcement Learning
omarshindi/model-free-quantum-gate-design-and-calibration-using-deep-reinforcement-learning
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The proposed framework relies only on the measurement at the end of the control process and offers the ability to find the optimal control policy without access to quantum systems during the learning process.
