From the 1 of 7 linked papers with an AI index.
5 citations · 5 across the 2 of their papers we have counts for
7 papers
Backpropagating Pauli Propagation
Sheng-Hsuan Lin, Etienne Granet, Kevin Hémery +1
The paper presents a backpropagation algorithm that computes parameter gradients in quantum circuits via Pauli propagation, achieving similar computational cost to sparse Pauli sim…
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…
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…
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…
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…
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…