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20192026
most citedTensor Network Python (TeNPy) version 1

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

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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…

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…

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…