Tree tensor network simulations of the 2D quantum Ising model match semi-classical predictions for false vacuum decay rate, effective interface tension, and critical bubble size.
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SNT merges SV and PEC for subspace-tailored error mitigation in Trotterized FHM simulations, mapping out optimal combinations by hardware quality and shot budget while quantifying when noisy devices could surpass classical methods.
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False vacuum decay in a two-dimensional quantum spin system
Tree tensor network simulations of the 2D quantum Ising model match semi-classical predictions for false vacuum decay rate, effective interface tension, and critical bubble size.
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Near-Term Fermionic Simulation with Subspace Noise Tailored Quantum Error Mitigation
SNT merges SV and PEC for subspace-tailored error mitigation in Trotterized FHM simulations, mapping out optimal combinations by hardware quality and shot budget while quantifying when noisy devices could surpass classical methods.