4 papers
Bounded-Error Quantum Simulation via Hamiltonian and Lindbladian Learning
Tristan Kraft, Manoj K. Joshi, William Lam +11
Analog Quantum Simulators offer a route to exploring strongly correlated many-body dynamics beyond classical computation, but their predictive power remains limited by the absence…
Hamiltonian and Liouvillian learning in weakly-dissipative quantum many-body systems
Tobias Olsacher, Tristan Kraft, Christian Kokail +2
We discuss Hamiltonian and Liouvillian learning for analog quantum simulation from non-equilibrium quench dynamics in the limit of weakly dissipative many-body systems. We present…
Scalable and Parallel Tweezer Gates for Quantum Computing with Long Ion Strings
Tobias Olsacher, Lukas Postler, Philipp Schindler +3
Trapped-ion quantum computers have demonstrated high-performance gate operations in registers of about ten qubits. However, scaling up and parallelizing quantum computations with l…
Digital Quantum Simulation, Trotter Errors, and Quantum Chaos of the Kicked Top
Lukas M. Sieberer, Tobias Olsacher, Andreas Elben +4
This work aims at giving Trotter errors in digital quantum simulation (DQS) of collective spin systems an interpretation in terms of quantum chaos of the kicked top. In particular,…