Performance evaluation of invariant-based inverse engineering by quantum speed limit
arXiv:2112.07253 · doi:10.1103/PhysRevA.106.L040401
Abstract
Quantum speed limits for two time-evolved states are introduced and applied to overlap between true dynamics and approximate dynamics. In particular, we point out that the present idea is suitable for invariant-based inverse engineering, i.e., the worst case performance of invariant-based inverse engineering can be evaluated by using a designed time-evolved state. As demonstrations, we apply the present method to stimulated Raman adiabatic passage and quantum annealing, and then we find that the present idea brings valuable insight to control scheduling.
References in corpus (18)
- Quantum Annealing in the Transverse Ising Model
- Shortcuts to adiabaticity: concepts, methods, and applications
- The maximum speed of dynamical evolution
- Fast optimal frictionless atom cooling in harmonic traps
- Quantum speed limits: from Heisenberg's uncertainty principle to optimal quantum control
- Assisted finite-rate adiabatic passage across a quantum critical point: Exact solution for the quantum Ising model
- Fast population transfer engineering of three-level systems
- Trade-off between speed and cost in shortcuts to adiabaticity
- Energy-time uncertainty relation for driven quantum systems
- Universal Work Fluctuations during Shortcuts To Adiabaticity by Counterdiabatic Driving
- Superadiabatic Controlled Evolutions and Universal Quantum Computation
- Shortcuts to adiabaticity for quantum annealing
- Probing Quantum Speed Limits with Ultracold Gases
- Controlling and exploring quantum systems by algebraic expression of adiabatic gauge potential
- Inhibiting unwanted transitions in population transfer in two- and three-level quantum systems
- Performance Evaluation of Adiabatic Quantum Computation via Quantum Speed Limits and Possible Applications to Many-Body Systems
- General bound on the performance of counter-diabatic driving acting on dissipative spin systems
- Inertial Theorem: Overcoming the quantum adiabatic limit