most citedUniform microwave field formation for control of ensembles of negatively charged nitrogen vacancy in diamond

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quant-ph20261 cited

Quantum Tensor Network Learning with DMRG

Gustav J L Jäger, Martin B Plenio, Hans-Martin Rieser

Tensor Networks are a relatively new machine learning approach. The architectures proposed initially are inspired by approaches from quantum many-body physics simulations. One comm…

quant-ph2026

paces: Parallelized Application of Co-Evolving Subspaces, a method for computing quantum dynamics on GPUs

R. Kevin Kessing

An efficient method of solving the time-dependent Schrödinger equation for pure states is described: At each timestep, a restricted subspace of the total Hilbert space is systemat…

quant-ph20261 cited

Configurable photonic simulator for quantum field dynamics

Mauro D'Achille, Martin Gärttner, Tobias Haas

Quantum field simulators provide unique opportunities for investigating the dynamics of quantum fields through tabletop experiments. A primary drawback of standard encoding schemes…

quant-ph2026

Simulating Electron Transfer on Noisy Quantum Computers

Marvin Gajewski, Alejandro D. Somoza, Gary Schmiedinghoff +3

While simple spin-boson models have been realized on quantum hardware, simulating extended electronic networks with local vibrational environments remains a fundamental challenge i…

quant-ph20261 cited

Multimode-cavity picture of non-Markovian waveguide QED

Dario Cilluffo, Luca Ferialdi, G. Massimo Palma +2

We introduce a picture to describe and intrepret waveguide-QED problems in the non-Markovian regime of long photonic retardation times resulting in delayed coherent feedback. The f…

quant-ph20266 cited

Uniform microwave field formation for control of ensembles of negatively charged nitrogen vacancy in diamond

Oleg Rezinkin, Marina Rezinkina, Takuya Kitamura +2

The homogeneity of the microwave magnetic field is essential in controlling a large volume of ensemble spins, for example, in the case of sensitive magnetometry with nitrogen-vacan…