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most citedSolving an Industrially Relevant Quantum Chemistry Problem on Quantum Hardware

11 citations · 25 across the 11 of their papers we have counts for

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quant-ph2024★ 1 cited

Shot-noise reduction for lattice Hamiltonians

Timo Eckstein, Refik Mansuroglu, Stefan Wolf +4

Efficiently estimating energy expectation values of quantum lattice systems on quantum computers is a crucial subroutine for various quantum algorithms, which can lead to significa…

quant-ph2024★ 11 cited

Solving an Industrially Relevant Quantum Chemistry Problem on Quantum Hardware

Ludwig Nützel, Alexander Gresch, Lukas Hehn +10

Quantum chemical calculations are among the most promising applications for quantum computing. Implementations of dedicated quantum algorithms on available quantum hardware were so…

quant-ph2024★ 3 cited

Quantum Convolutional Neural Network for Phase Recognition in Two Dimensions

Leon C. Sander, Nathan A. McMahon, Petr Zapletal +1

Quantum convolutional neural networks (QCNNs) are quantum circuits for characterizing complex quantum states. They have been proposed for recognizing quantum phases of matter at lo…

quant-ph2024★ 4 cited

Efficient Quantum Cooling Algorithm for Fermionic Systems

Lucas Marti, Refik Mansuroglu, Michael J. Hartmann

We present a cooling algorithm for ground state preparation of fermionic Hamiltonians. Our algorithm makes use of the Hamiltonian simulation of the considered system coupled to an…

quant-ph2024★ 6 cited

Quantum Tensor Product Decomposition from Choi State Tomography

Refik Mansuroglu, Arsalan Adil, Michael J. Hartmann +2

The Schmidt decomposition is the go-to tool for measuring bipartite entanglement of pure quantum states. Similarly, it is possible to study the entangling features of a quantum ope…