F
Fengping Jin
Researcher at Forschungszentrum Jülich
Publications - 84
Citations - 1339
Fengping Jin is an academic researcher from Forschungszentrum Jülich. The author has contributed to research in topics: Quantum & Photon. The author has an hindex of 19, co-authored 72 publications receiving 1010 citations.
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Journal ArticleDOI
Benchmarking the quantum approximate optimization algorithm
Madita Willsch,Madita Willsch,Dennis Willsch,Dennis Willsch,Fengping Jin,Hans De Raedt,Kristel Michielsen,Kristel Michielsen +7 more
TL;DR: The performance of the quantum approximate optimization algorithm is evaluated by using three different measures: the probability of finding the ground state, the energy expectation value, and a ratio closely related to the approximation ratio as mentioned in this paper.
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Massively parallel quantum computer simulator, eleven years later
Hans De Raedt,Fengping Jin,Dennis Willsch,Madita Willsch,Naoki Yoshioka,Nobuyasu Ito,Shengjun Yuan,Kristel Michielsen +7 more
TL;DR: A revised version of the massively parallel simulator of a universal quantum computer, described in this journal eleven years ago, is used to benchmark various gate-based quantum algorithms on some of the most powerful supercomputers that exist today.
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Benchmarking gate-based quantum computers
Kristel Michielsen,Kristel Michielsen,Madita Nocon,Dennis Willsch,Fengping Jin,Thomas Lippert,Hans De Raedt +6 more
TL;DR: A number of simple quantum circuits are explored as benchmarks for gate-based quantum computing devices and it is shown that circuits performing identity operations are very simple, scalable and sensitive to gate errors and are therefore very well suited for this task.
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Event-Based Corpuscular Model for Quantum Optics Experiments
TL;DR: A corpuscular simulation model of optical phenomena that does not require the knowledge of the solution of a wave equation of the whole system and reproduces the results of Maxwell's theory by generating detection events one-by-one is presented in this paper.
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Gate-error analysis in simulations of quantum computers with transmon qubits
TL;DR: In this paper, the success of implementing superconducting qubit-based quantum gates is analyzed by numerically solving time-dependent Schrodinger equations for a transmon system and it is found that such metrics are not reliable to predict the performance of a quantum algorithm when the gates are used repeatedly.