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Found 6 papers, 2 papers with code
Spatio-seasonal risk assessment of upward lightning at tall objects using meteorological reanalysis data
The model performs best in winter, with the highest predicted UL risk coinciding with observed peaks in measured lightning at tall objects.
Upward lightning at wind turbines: Risk assessment from larger-scale meteorology
This leads to a large underestimation of the proportion of LLS-non-detectable UL at wind turbines, which is the dominant lightning type in the cold season.
Machine learning discovery of new phases in programmable quantum simulator snapshots
Specifically, we apply Hybrid-CCNN to analyze new quantum phases on square lattices with programmable interactions.
Quantum Sampling Algorithms for Near-Term Devices
Efficient sampling from a classical Gibbs distribution is an important computational problem with applications ranging from statistical physics over Monte Carlo and optimization algorithms to machine learning.
Quantum Physics Statistical Mechanics
Parallel implementation of high-fidelity multi-qubit gates with neutral atoms
We report the implementation of universal two- and three-qubit entangling gates on neutral atom qubits encoded in long-lived hyperfine ground states.
Quantum Physics Quantum Gases
Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices
We provide an in-depth study of the performance of QAOA on MaxCut problems by developing an efficient parameter-optimization procedure and revealing its ability to exploit non-adiabatic operations.
Quantum Physics Disordered Systems and Neural Networks Statistical Mechanics
