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 Statistical Learning






2ea07a4acbf7e38913062fd69a70805f-Paper-Conference.pdf

Neural Information Processing Systems

By identifying an instrumental variable correlated with the variableX butunrelated tothe confounders, researchers can isolate the exogenous variation inX and estimate acausal relationship betweenX andY.




Physics-Informed Bayesian Optimization of Variational Quantum Circuits Kim A. Nicoli 1,2,3 Christopher J. Anders

Neural Information Processing Systems

In this paper, we propose a novel and powerful method to harness Bayesian optimization for V ariational Quantum Eigensolvers (VQEs)--a hybrid quantum-classical protocol used to approximate the ground state of a quantum Hamiltonian.