Classical shadows of local observables combined with unsupervised ML distinguish phases in the axial next-nearest-neighbor Ising model and Kitaev-Heisenberg ladder, with sample complexity scaling logarithmically in the number of features.
Predicting many properties of a quantum system from very few measurements
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Qiskit is an open-source SDK that supports quantum circuit design, optimization at multiple abstraction levels, execution on hardware, and dynamic quantum-classical computations.
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Distinguishing Ordered Phases using Machine Learning and Classical Shadows
Classical shadows of local observables combined with unsupervised ML distinguish phases in the axial next-nearest-neighbor Ising model and Kitaev-Heisenberg ladder, with sample complexity scaling logarithmically in the number of features.
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Quantum computing with Qiskit
Qiskit is an open-source SDK that supports quantum circuit design, optimization at multiple abstraction levels, execution on hardware, and dynamic quantum-classical computations.