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quant-ph2024
Calculating the expected value function of a two-stage stochastic optimization program with a quantum algorithm
Caleb Rotello, Peter Graf, Matthew Reynolds +3
Two-stage stochastic programming is a problem formulation for decision-making under uncertainty. In the first stage, the actor makes a best "here and now" decision in the presence…
quant-ph2024
Dynamic, Symmetry-Preserving, and Hardware-Adaptable Circuits for Quantum Computing Many-Body States and Correlators of the Anderson Impurity Model
Eric B. Jones, Cody James Winkleblack, Colin Campbell +5
We present a hardware-reconfigurable ansatz on -qubits for the variational preparation of many-body states of the Anderson impurity model (AIM) with $N_{\text{imp}}+N_{\text{b…