74 citations · 119 across the 6 of their papers we have counts for
6 papers
Multipole splats for optimized and inverted effective potentials
Matija Medvidović, Angel Rubio, Juan Carrasquilla
In modern density functional theory, effective Hamiltonians are constructed to reproduce densities and forces of electrons at equilibrium. However, their nonlocal potentials leave…
Neural network quantum states in the grand canonical ensemble
Anton Hul, Matija Medvidović, Juan Carrasquilla
Variational Monte Carlo calculations have recently reached state-of-the-art accuracy in the approximation of ground state properties of quantum many-body systems. Making use of fle…
Adiabatic transport of neural network quantum states
Matija Medvidović, Alev Orfi, Juan Carrasquilla +1
Variational methods have offered controllable and powerful tools for capturing many-body quantum physics for decades. The recent introduction of expressive neural network quantum s…
Variational quantum dynamics of two-dimensional rotor models
Matija Medvidović, Dries Sels
We present a numerical method to simulate the dynamics of continuous-variable quantum many-body systems. Our approach is based on custom neural-network many-body quantum states. We…
Fast quantum circuit cutting with randomized measurements
Angus Lowe, Matija Medvidović, Anthony Hayes +4
We propose a new method to extend the size of a quantum computation beyond the number of physical qubits available on a single device. This is accomplished by randomly inserting me…
Deep Learning the Functional Renormalization Group
Domenico Di Sante, Matija Medvidović, Alessandro Toschi +4
We perform a data-driven dimensionality reduction of the scale-dependent 4-point vertex function characterizing the functional Renormalization Group (fRG) flow for the widely studi…