2020/11/17 by Oscar Emil Sommer, Francesco Piazza, David J. Luitz
Computer Science · Physics and Astronomy · #Artificial intelligence #Computer science #Dissipation #Dissipative system #Hierarchy #IBM #Leverage (statistics) #Neural Networks and Reservoir Computing #Observable #Open quantum system #Physics #Quantum #Quantum Computing Algorithms and Architecture #Quantum computer #Quantum many-body systems #Quantum mechanics #Qubit #Statistical physics #Theoretical computer science #cond-mat.stat-mech #cond-mat.str-el #quant-ph
paper · pdf · doi:10.1103/physrevresearch.3.023190
published in Physical Review Research 3(2) (American Physical Society) · 8 pages, 8 figures
arxiv created 2020/11/17 · openalex publication_date 2021/06/07 · arxiv updated 2021/06/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We show that current noisy quantum computers are ideal platforms for the simulation of quantum many-body dynamics in generic open systems. We demonstrate this using the IBM Quantum Computer as an experimental platform for confirming the theoretical prediction from Wang et al., [Phys. Rev. Lett. 124, 100604 (2020)] of an emergent hierarchy of relaxation timescales of many-body observables involving different numbers of qubits. Using different protocols, we leverage the intrinsic dissipation of the machine responsible for gate errors, to implement a quantum simulation of generic (i.e., structureless) local dissipative interactions.