activity
20192026
most citedTensor Network Python (TeNPy) version 1

56 citations · 144 across the 11 of their papers we have counts for

collaborators

11 papers

quant-ph2026

Backpropagating Pauli Propagation

Sheng-Hsuan Lin, Etienne Granet, Kevin Hémery +1

We develop a backpropagation algorithm for evaluating parameter gradients in quantum circuits using Pauli propagation simulation. The method has computational complexity comparable…

quant-ph2026

Observation of genuine D string dynamics in a U lattice gauge theory with a tunable plaquette term on a trapped-ion quantum computer

Rohan Joshi, Yizhuo Tian, Kevin Hemery +5

Quantum simulations of high-energy physics in D can probe dynamical phenomena nonexistent in one spatial dimension and access regimes that are challenging for existing classic…

hep-lat2026

Observation of glueball excitations and string breaking in a D lattice gauge theory on a trapped-ion quantum computer

Kaidi Xu, Umberto Borla, Kevin Hemery +4

A major goal of the quantum simulation of high-energy physics (HEP) is to probe real-time nonperturbative far-from-equilibrium quantum processes underlying phenomena such as hadron…

quant-ph2025

Superconducting pairing correlations on a trapped-ion quantum computer

Etienne Granet, Sheng-Hsuan Lin, Kevin Hémery +31

The Fermi-Hubbard model is the starting point for the simulation of many strongly correlated materials, including high-temperature superconductors, whose modelling is a key motivat…

quant-ph2025★ 8 cited

Digital quantum magnetism on a trapped-ion quantum computer

Reza Haghshenas, Eli Chertkov, Michael Mills +56

Digital quantum matter -- realized when discrete quantum gates approximate continuous time evolution -- is susceptible to heating into chaotic, structureless states. If digitizatio…

quant-ph2024★ 2 cited

Analog simulation of noisy quantum circuits

Etienne Granet, Kévin Hémery, Henrik Dreyer

It is well-known that simulating quantum circuits with low but non-zero hardware noise is more difficult than without noise. It requires either to perform density matrix simulation…

quant-ph2024★ 10 cited

Experimental Demonstration of Break-Even for the Compact Fermionic Encoding

Ramil Nigmatullin, Kevin Hemery, Khaldoon Ghanem +8

The utility of solving the Fermi-Hubbard model has been estimated in the billions of dollars. Digital quantum computers can in principle address this task, but have so far been lim…

cond-mat.str-el2024★ 56 cited

Tensor Network Python (TeNPy) version 1

Johannes Hauschild, Jakob Unfried, Sajant Anand +27

TeNPy (short for 'Tensor Network Python') is a python library for the simulation of strongly correlated quantum systems with tensor networks. The philosophy of this library is to a…

quant-ph2023★ 29 cited

Measuring the Loschmidt amplitude for finite-energy properties of the Fermi-Hubbard model on an ion-trap quantum computer

Kévin Hémery, Khaldoon Ghanem, Eleanor Crane +16

Calculating the equilibrium properties of condensed matter systems is one of the promising applications of near-term quantum computing. Recently, hybrid quantum-classical time-seri…

cond-mat.dis-nn2021★ 11 cited

Identifying Correlation Clusters in Many-Body Localized Systems

Kévin Hémery, Frank Pollmann, Adam Smith

We introduce techniques for analysing the structure of quantum states of many-body localized (MBL) spin chains by identifying correlation clusters from pairwise correlations. These…

cond-mat.str-el2019★ 28 cited

Matrix product states approaches to operator spreading in ergodic quantum systems

Kévin Hémery, Frank Pollmann, David J. Luitz

We review different tensor network approaches to study the spreading of operators in generic nonintegrable quantum systems. As a common ground to all methods, we quantify this spre…