REVIEW 2 cited by
Quantum counterdiabatic driving with local control
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
Suppression of diabatic transitions in quantum adiabatic evolution stands as a significant challenge for ground state preparations. Counterdiabatic driving has been proposed to compensate for diabatic losses and achieve shortcut to adiabaticity. However, its implementation necessitates the generation of adiabatic gauge potential, which requires knowledge of the spectral gap of instantaneous Hamiltonians and involves highly non-local drivings in many-body systems. In this work, we consider local counterdiabatic (LCD) driving with approximate adiabatic gauge potential. Using transverse-field Ising model as an example, we present an in-depth study of the performance and optimization of LCD protocols. We then propose a novel two-step protocol based on LCD and simple local single-body control to further improve the performance. The optimization of these LCD-based protocols does not require knowledge of instantaneous Hamiltonians, and only additional local driving is involved. To benchmark the performance of LCD and the proposed local control-enhanced LCD technique, we experimentally implement digitized adiabatic quantum evolution in a trapped-ion system. We characterize the quality of the prepared states and explore the scaling behavior with system size up to 14 qubits. Our demonstration of quantum shortcut to adiabaticity opens a path towards preparing ground states of complex systems with accessible local controls.
Forward citations
Cited by 2 Pith papers
-
Shortcuts to Analog Preparation of Non-Equilibrium Quantum Lakes
Approximate counterdiabatic driving naturally targets the hemidiabatic 'quantum lakes' state and speeds up its preparation by nearly an order of magnitude in a Rydberg ruby lattice model.
-
Improving adiabatic quantum factorization via chopped random-basis optimization
Applying CRAB schedule optimization to adiabatic factorization Hamiltonians raises final-state fidelity for integers 21 to 2479, with a performance threshold near the quantum speed limit, and the improvement survives ...
Discussion (0). Continue with ORCID to comment.