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Found 4 papers, 2 papers with code
Towards Neural Variational Monte Carlo That Scales Linearly with System Size
Quantum many-body problems are some of the most challenging problems in science and are central to demystifying some exotic quantum phenomena, e. g., high-temperature superconductors.
Constructing Tensor Network Influence Functionals for General Quantum Dynamics
We describe an iterative formalism to compute influence functionals that describe the general quantum dynamics of a subsystem beyond the assumption of linear coupling to a quadratic bath.
Tensor Networks
Quantum Physics
Chemical Physics
Quantum Imaginary Time Evolution, Quantum Lanczos, and Quantum Thermal Averaging
An efficient way to compute Hamiltonian ground-states on a quantum computer stands to impact many problems in the physical and computer sciences, ranging from quantum simulation to machine learning.
Quantum Physics
The electronic complexity of the ground-state of the FeMo cofactor of nitrogenase as relevant to quantum simulations
We report that a recent active space model of the nitrogenase FeMo cofactor, proposed in the context of quantum simulations, is not representative of the electronic structure of the FeMo cofactor ground-state.
Chemical Physics Quantum Physics
