Revolutionary Classical Algorithm for Quantum Impurity Problems 🚀
Discover how David Gosset's groundbreaking quasi-polynomial time algorithm enables efficient estimation of ground state energies and low-energy states in quantum impurity models, paving the way for advances in quantum computing research.
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$H_{imp}$ is an arbitrary Hamiltonian acting on a subset of $O(1)$ modes.
We show that the ground energy of $H$ can be approximated with an additive error $2^{-b}$ in time $n^3 \exp{[O(b^3)]}$. Our algorithm also finds a low energy state that achieves this approximation. The low energy state is represented as a superposition of $\exp{[O(b^3)]}$ fermionic Gaussian states. To arrive at this result we prove several theorems concerning exact ground states of impurity models.
In particular, we show that eigenvalues of the ground state covariance matrix decay
exponentially with the exponent depending very mildly on the spectral gap of $H_0$.
A key ingredient of our proof is Zolotarev's rational approximation to the $\sqrt{x}$ function. We anticipate that our algorithms may be used in hybrid quantum-classical simulations of strongly correlated materials
based on dynamical mean field theory. We implemented a simplified practical version of our algorithm and benchmarked it using the single impurity Anderson model."
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