126 citations · 533 across the 16 of their papers we have counts for
5 papers · 1 filter
Efficient quantum state tomography with convolutional neural networks
Tobias Schmale, Moritz Reh, Martin Gärttner
Modern day quantum simulators can prepare a wide variety of quantum states but the accurate estimation of observables from tomographic measurement data often poses a challenge. We…
jVMC: Versatile and performant variational Monte Carlo leveraging automated differentiation and GPU acceleration
Markus Schmitt, Moritz Reh
The introduction of Neural Quantum States (NQS) has recently given a new twist to variational Monte Carlo (VMC). The ability to systematically reduce the bias of the wave function…
Time-dependent variational principle for open quantum systems with artificial neural networks
Moritz Reh, Markus Schmitt, Martin Gärttner
We develop a variational approach to simulating the dynamics of open quantum many-body systems using deep autoregressive neural networks. The parameters of a compressed representat…
Improved constraints on neutrino mixing from the T2K experiment with protons on target
T2K Collaboration, K. Abe, N. Akhlaq +307
The T2K experiment reports updated measurements of neutrino and antineutrino oscillations using both appearance and disappearance channels. This result comes from an exposure of $1…
First T2K measurement of transverse kinematic imbalance in the muon-neutrino charged-current single- production channel containing at least one proton
K. Abe, N. Akhlaq, R. Akutsu +308
This paper reports the first T2K measurement of the transverse kinematic imbalance in the single- production channel of neutrino interactions. We measure the differential cros…