arrow
Return

Classical chaos in quantum computers

delete2024-08-05
delete4
delete
OA
AI
S
Simon-Dominik Börner *
C
Christoph Berke
D
David P. DiVincenzo
S
Simon Trebst
A
Alexander Altland
DOI:10.1103/PhysRevResearch.6.033128delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The development of quantum computing hardware is facing the challenge that current-day quantum processors, comprising 50-100 qubits, already operate outside the range of quantum simulation on classical computers. In this paper we demonstrate that the simulation of classical limits can be a potent diagnostic tool for the resilience of quantum information hardware against chaotic instabilities potentially mitigating this problem. As a testbed for our approach we consider the transmon qubit processor, a computing platform in which the coupling of large numbers of nonlinear quantum oscillators may trigger destabilizing chaotic resonances. We find that classical and quantum simulations lead to similar stability metrics (classical Lyapunov exponents vs quantum wave function participation ratios) in systems with O(10) transmons. However, the big advantage of classical simulation is that it can be pushed to large systems comprising up to thousands of qubits. We exhibit the utility of this classical toolbox by simulating all current IBM transmon chips, including the 433-qubit processor of the Osprey generation, as well as devices with 1121 qubits (Condor generation). For realistic system parameters, we find a systematic increase of Lyapunov exponents with system size, suggesting that larger layouts require added efforts in information protection.

Journal

Physical Review Research cover
Physical Review Research
IF:
4.2
Papers:
7.6K
Citations:
2.7W

Organization

R
RWTH Aachen University
Scholars:
3.5W
Papers: 2.6W
Citations: 3.6W
U
University of Cologne
Scholars:
3.0W
Papers: 2.1W
Citations: 2.4W
Cited Papers

Cited Papers

Determinants of cardiorespiratory fitness in very long-term survivors of allogeneic hematopoietic stem cell transplantation: a national cohort study
err2020-08-21
err0
errOAAI
errOle Henrik Myrdal; Phoi Phoi Diep; Ellen Ruud; Lorentz Brinch; Richard John Massey; Elisabeth Edvardsen; Johny Kongerud; May B. Lund; Liv Ingunn Sikkeland
errShare
errSave
Transmon platform for quantum computing challenged by chaotic fluctuations
err2022-05-06
err37
errOAAI
errBerke, Christoph; Varvelis, Evangelos; Trebst, Simon; Altland, Alexander; DiVincenzo, David P.
errShare
errSave
The flux qubit revisited to enhance coherence and reproducibility
err2016-11-03
err469
errOAAI
errYan, Fei; Gustavsson, Simon; Kamal, Archana; Birenbaum, Jeffrey; Sears, Adam P.; Hover, David; Gudmundsen, Ted J.; Rosenberg, Danna; Samach, Gabriel; Weber, S.; Yoder, Jonilyn L.; Orlando, Terry P.; Clarke, John; Kerman, Andrew J.; Oliver, William D.
errShare
errSave
Evidence for chaos in an experimental time series from serrated plastic flow
err1996-07-01
err0
PREAI
errS. Venkadesan; M. C. Valsakumar; K. P. N. Murthy; S. Rajasekar
errShare
errSave
Proteinase-activated receptors: novel mechanisms of signaling by serine proteases
err1998-06-01
err0
PREAI
errOlivier Déry; Carlos U. Corvera; Martin Steinhoff; Nigel W. Bunnett
errShare
errSave
researcher View more