An extended set-based specification language translates to compact automata in linear time in the number of qubits, enabling fully automatic Hoare-style verification of quantum programs at larger scales.
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XGBoost models trained on ≤16-qubit data predict eigensolver hyperparameters and reduce error by 0.12% on 28-qubit systems.
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A Practical Specification Language for Automatic Quantum Program Verification (Technical Report)
An extended set-based specification language translates to compact automata in linear time in the number of qubits, enabling fully automatic Hoare-style verification of quantum programs at larger scales.
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Accelerating Quantum Eigensolver Algorithms With Machine Learning
XGBoost models trained on ≤16-qubit data predict eigensolver hyperparameters and reduce error by 0.12% on 28-qubit systems.