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The quantum Gaussian process state: A kernel-inspired state with quantum support data
Yannic Rath, George H. Booth
We introduce the quantum Gaussian process state, motivated via a statistical inference for the wave function supported by a data set of unentangled product states. We show that thi…
The Variational Quantum Eigensolver: a review of methods and best practices
Jules Tilly, Hongxiang Chen, Shuxiang Cao +8
The variational quantum eigensolver (or VQE) uses the variational principle to compute the ground state energy of a Hamiltonian, a problem that is central to quantum chemistry and…
Scalable and predictive spectra of correlated molecules with moment truncated iterated perturbation theory
Oliver J. Backhouse, Alejandro Santana-Bonilla, George H. Booth
A reliable and efficient computation of the entire single-particle spectrum of correlated molecules is an outstanding challenge in the field of quantum chemistry, with standard den…
Systematic improvability in quantum embedding for real materials
Max Nusspickel, George H. Booth
Quantum embedding methods have become a powerful tool to overcome deficiencies of traditional quantum modelling in materials science. However, while these are systematically improv…
Extending Density Matrix Embedding: A Static Two-Particle Theory
Charles J. C. Scott, George H. Booth
We introduce Extended Density Matrix Embedding Theory (EDMET), a static quantum embedding theory explicitly self-consistent with respect to local two-body physics. This overcomes t…
A variational quantum eigensolver for dynamic correlation functions
Hongxiang Chen, Max Nusspickel, Jules Tilly +1
Recent practical approaches for the use of current generation noisy quantum devices in the simulation of quantum many-body problems have been dominated by the use of a variational…