activity
20212026
most citedNetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems

147 citations · 417 across the 14 of their papers we have counts for

collaborators

14 papers

quant-ph2026

Precision quantum simulation of magnon spectra and interactions

Trond I. Andersen, Nikita Astrakhantsev, Jeronimo Martinez +329

Quantum simulation promises to advance materials discovery by accurately simulating complex states of matter, their microscopic excitations, and macroscopic response functions. The…

quant-ph2026

Multifractal and Glassy Signatures of Non-Ergodic 2D Quantum Dynamics

Aleksey Lunkin, Nicole S. Ticea, Michael T. Solomon +296

The fate of ergodicity and localization in disordered, interacting quantum systems in two spatial dimensions remains an outstanding open problem in non-equilibrium physics. Theoret…

cond-mat.str-el2023★ 14 cited

$\require{mhchem}$Quantum paramagnetism in the decorated square-kagome antiferromagnet $\ce{Na6Cu7BiO4(PO4)4Cl3}$

Nils Niggemann, Nikita Astrakhantsev, Arnaud Ralko +9

$\require{mhchem}$The square-kagome lattice Heisenberg antiferromagnet is a highly frustrated Hamiltonian whose material realizations have been scarce. We theoretically investigate…

cond-mat.str-el2023★ 4 cited

Understanding Symmetry Breaking in Twisted Bilayer Graphene from Cluster Constraints

Nikita Astrakhantsev, Glenn Wagner, Tom Westerhout +2

Twisted bilayer graphene is an exciting platform for exploring correlated quantum phases, extremely tunable with respect to both the single-particle bands and the interaction profi…

quant-ph2023★ 43 cited

Challenges of variational quantum optimization with measurement shot noise

Giuseppe Scriva, Nikita Astrakhantsev, Sebastiano Pilati +1

Quantum enhanced optimization of classical cost functions is a central theme of quantum computing due to its high potential value in science and technology. The variational quantum…

quant-ph2023★ 67 cited

Variational Benchmarks for Quantum Many-Body Problems

Dian Wu, Riccardo Rossi, Filippo Vicentini +30

The continued development of computational approaches to many-body ground-state problems in physics and chemistry calls for a consistent way to assess its overall progress. In this…

quant-ph2022★ 12 cited

Time Evolution of Uniform Sequential Circuits

Nikita Astrakhantsev, Sheng-Hsuan Lin, Frank Pollmann +1

Simulating time evolution of generic quantum many-body systems using classical numerical approaches has an exponentially growing cost either with evolution time or with the system…

cond-mat.str-el2022★ 25 cited

Interacting topological quantum chemistry of Mott atomic limits

Martina O. Soldini, Nikita Astrakhantsev, Mikel Iraola +6

Topological quantum chemistry (TQC) is a successful framework for identifying (noninteracting) topological materials. Based on the symmetry eigenvalues of Bloch eigenstates at maxi…

cond-mat.str-el2022★ 36 cited

Pinch-points to half-moons and up in the stars: the kagome skymap

Dominik Kiese, Francesco Ferrari, Nikita Astrakhantsev +9

Pinch point singularities, associated with flat band magnetic excitations, are tell-tale signatures of Coulomb spin liquids. While their properties in the presence of quantum fluct…

quant-ph2022★ 2 cited

Phenomenological Theory of Variational Quantum Ground-State Preparation

Nikita Astrakhantsev, Guglielmo Mazzola, Ivano Tavernelli +1

The variational approach is a cornerstone of computational physics, considering both conventional and quantum computing computational platforms. The variational quantum eigensolver…

quant-ph2021★ 147 cited

NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems

Filippo Vicentini, Damian Hofmann, Attila Szabó +8

We introduce version 3 of NetKet, the machine learning toolbox for many-body quantum physics. NetKet is built around neural-network quantum states and provides efficient algorithms…

cond-mat.str-el2021★ 41 cited

Pinwheel valence-bond-crystal ground state of the spin- Heisenberg antiferromagnet on the lattice

Nikita Astrakhantsev, Francesco Ferrari, Nils Niggemann +9

We investigate the nature of the ground-state of the spin- Heisenberg antiferromagnet on the lattice by complementary state-of-the-art numerical techniques,…

cond-mat.str-el2021★ 22 cited

Neural Network Evolution Strategy for Solving Quantum Sign Structures

Ao Chen, Kenny Choo, Nikita Astrakhantsev +1

Feed-forward neural networks are a novel class of variational wave functions for correlated many-body quantum systems. Here, we propose a specific neural network ansatz suitable fo…

cond-mat.str-el2021★ 4 cited

Broken-Symmetry Ground States of the Heisenberg model on the Pyrochlore Lattice

Nikita Astrakhantsev, Tom Westerhout, Apoorv Tiwari +5

The spin-1/2 Heisenberg model on the pyrochlore lattice is an iconic frustrated three-dimensional spin system with a rich phase diagram. Besides hosting several ordered phases, the…