80 citations · 190 across the 7 of their papers we have counts for
8 papers
Quantum error mitigation from information dynamics
Philippe Suchsland, Thomas Schuster, Manuel S. Rudolph +3
Overcoming experimental errors is a central challenge in quantum science. This challenge is particularly acute in large and complex quantum circuits, where quantum information spre…
Constructive interference at the edge of quantum ergodic dynamics
Dmitry A. Abanin, Rajeev Acharya, Laleh Aghababaie-Beni +262
Quantum observables in the form of few-point correlators are the key to characterizing the dynamics of quantum many-body systems. In dynamics with fast entanglement generation, qua…
Krylov complexity and Trotter transitions in unitary circuit dynamics
Philippe Suchsland, Roderich Moessner, Pieter W. Claeys
We investigate many-body dynamics where the evolution is governed by unitary circuits through the lens of `Krylov complexity', a recently proposed measure of complexity and quantum…
Dynamical correlations and domain wall relocalization in transverse field Ising chains
Philippe Suchsland, Benoît Douçot, Vedika Khemani +1
We study conventional and out-of-time-ordered correlators (OTOCs) for a wide variety of transverse field Ising chains: classical and quantum, clean and disordered, and integrable a…
Simulating a ring-like Hubbard system with a quantum computer
Philippe Suchsland, Panagiotis Kl. Barkoutsos, Ivano Tavernelli +2
We develop a workflow to use current quantum computing hardware for solving quantum many-body problems, using the example of the fermionic Hubbard model. Concretely, we study a fou…
Microcanonical and finite temperature ab initio molecular dynamics simulations on quantum computers
Igor O. Sokolov, Panagiotis Kl. Barkoutsos, Lukas Moeller +3
Ab initio molecular dynamics (AIMD) is a powerful tool to predict properties of molecular and condensed matter systems. The quality of this procedure is based on accurate electroni…
Algorithmic Error Mitigation Scheme for Current Quantum Processors
Philippe Suchsland, Francesco Tacchino, Mark H. Fischer +3
We present a hardware agnostic error mitigation algorithm for near term quantum processors inspired by the classical Lanczos method. This technique can reduce the impact of differe…
Parameter diagnostics of phases and phase transition learning by neural networks
Philippe Suchsland, Stefan Wessel
We present an analysis of neural network-based machine learning schemes for phases and phase transitions in theoretical condensed matter research, focusing on neural networks with…