The impact of noise on the simulation of NMR spectroscopy on NISQ
  devices
We present the simulation of nuclear magnetic resonance (NMR) spectroscopy of
small organic molecules with two promising quantum computing platforms, namely
IBM's quantum processors based on superconducting qubits and IonQ's Aria
trapped ion quantum computer addressed via Amazon Braket. We analyze the impact
of noise on the obtained NMR spectra, and we formulate an effective decoherence
rate that quantifies the threshold noise that our proposed algorithm can
tolerate. Furthermore we showcase how our noise analysis allows us to improve
the spectra. Our investigations pave the way to better employ such
application-driven quantum tasks on current noisy quantum devices.
Andisheh Khedri Pascal Stadler Kirsten Bark Matteo Lodi Rolando Reiner Nicolas Vogt Michael Marthaler Juha Leppäkangas