Variational quantum circuit MPS ansatz with stochastic corrections simulates the DQPT of the TFIM on Quantinuum H1-1 hardware, demonstrating feasibility and revealing hidden simplicity in the dynamics.
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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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Fully optimised variational simulation of a dynamical quantum phase transition on a trapped-ion quantum computer
Variational quantum circuit MPS ansatz with stochastic corrections simulates the DQPT of the TFIM on Quantinuum H1-1 hardware, demonstrating feasibility and revealing hidden simplicity in the dynamics.
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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.