Quantum Systems and Technologies
Studying quantum systems from the perspective of information processing
This research line focuses on studying quantum systems from the perspective of information processing. It includes proposing and analyzing the implementation of quantum information protocols in solid-state-based systems, studying the properties of quantum states and channels, and investigating complex, strongly correlated quantum systems.
Specific topics
- Quantum acoustics, spin-qubits, and electron quantum optics.
- Simulation techniques for quantum lattice systems.
- Entanglement in many-body and multipartite systems.
Related publications
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1
Universal features of entanglement entropy in the honeycomb Hubbard model
J. D'Emidio, R. Orus, N. Laflorencie, and F. de Juan
Phys. Rev. Lett. 132, 7 (2024). -
2
Shortcuts to adiabaticity in Krylov space
K. Takahashi, and A. del Campo
Phys. Rev. X 14, 1 (2024). -
3
Modeling particle loss in open systems using Keldysh path integral andsecond order cumulant expansion
C. -H. Huang, T. Giamarchi, and M. A. Cazalilla
Phys. Rev. Res. 5, 4 (2023). -
4
Universal breakdown of Kibble-Zurek scaling in fast quenches across a phase transition
H. -B. Zeng, C. -Y. Xia, and A. del Campo
Phys. Rev. Lett. 130, 6 (2023). -
5
Steady-state Peierls transition in nanotube quantum simulator
L. Zhang, U. Bhattacharya, A. Bachtold, S. Forstner, M. Lewenstein, F. Pistolesi, and T. Grass
npj Quantum Inform. 9, 1 (2023). -
6
Long-range electron-electron interactions in quantum dot systems andapplications in quantum chemistry
J. Knoerzer, C. J. van Diepen, T. -K. Hsiao, G. Giedke, U. Mukhopadhyay, C. Reichl, W. Wegscheider, I. Cirac, and L. M. K. Vandersypen
Phys. Rev. Res. 4, 3 (2022). -
7
Probing quantum speed limits with ultracold gases
A. del Campo
Phys. Rev. Lett. 126, 18 (2021). -
8
Simulation methods for open quantum many-body systems
H. Weimer, A. Kshetrimayum, and R. Orus
Rev. Mod. Phys. 93, 1 (2021). -
9
Time-information uncertainty relations in thermodynamics
S. B. Nicholson, L. P. Garcia-Pintos, A. del Campo, and J. R. Green
Nat. Phys. 16, 12 (2020). -
10
Fine grained tensor network methods
P. Schmoll, S. S. Jahromi, M. Hoermann, K. P. Schmidt, and R. Orus
Phys. Rev. Lett. 124, 20 (2020).