TY - JOUR
T1 - Effective Dynamics of Qubit Networks via Phase-Covariant Quantum Ensembles
AU - Prudhoe, Sean
AU - Akhouri, Unnati
AU - Chin, Tommy
AU - Shandera, Sarah
N1 - Publisher Copyright:
© 2024 World Scientific Publishing Company.
PY - 2024/12/1
Y1 - 2024/12/1
N2 - We derive a new constructive procedure to rapidly generate ensembles of phase-covariant dynamical maps that may be associated to the individual spins of a closed quantum system. We do this by first computing the single-spin dynamical maps in small XXZ networks and chains, specialized to the class of initial states that guarantees phase-covariant dynamics for each spin. Since the dynamics in any small, closed system contains oscillatory features associated to the system size, we define an averaging procedure to extract time-homogeneous dynamics. We use the the average map and the set of deviations from the average map in the exactly derived ensembles to motivate the form of distributional functions for map parameters. The distributions then straightforwardly generate arbitrary-sized ensembles of channels, constrained by a few global properties. This procedure can also generate ensembles where individual maps are not phase-covariant although the average map is, corresponding to realizations of disordered, or noisy, Hamiltonians. The construction procedure suggests new ways to realize random families of open-system dynamics, subject to constraints that require the ensemble to approximate a partition of a closed system.
AB - We derive a new constructive procedure to rapidly generate ensembles of phase-covariant dynamical maps that may be associated to the individual spins of a closed quantum system. We do this by first computing the single-spin dynamical maps in small XXZ networks and chains, specialized to the class of initial states that guarantees phase-covariant dynamics for each spin. Since the dynamics in any small, closed system contains oscillatory features associated to the system size, we define an averaging procedure to extract time-homogeneous dynamics. We use the the average map and the set of deviations from the average map in the exactly derived ensembles to motivate the form of distributional functions for map parameters. The distributions then straightforwardly generate arbitrary-sized ensembles of channels, constrained by a few global properties. This procedure can also generate ensembles where individual maps are not phase-covariant although the average map is, corresponding to realizations of disordered, or noisy, Hamiltonians. The construction procedure suggests new ways to realize random families of open-system dynamics, subject to constraints that require the ensemble to approximate a partition of a closed system.
UR - https://www.scopus.com/pages/publications/85214367974
UR - https://www.scopus.com/inward/citedby.url?scp=85214367974&partnerID=8YFLogxK
U2 - 10.1142/S1230161224500161
DO - 10.1142/S1230161224500161
M3 - Article
AN - SCOPUS:85214367974
SN - 1230-1612
VL - 31
JO - Open Systems and Information Dynamics
JF - Open Systems and Information Dynamics
IS - 4
M1 - 2450016
ER -