Dice Question Streamline Icon: https://streamlinehq.com

Counterdiabatic driving for Q-CHOP

Develop and analyze counterdiabatic driving schemes for the quantum constrained Hamiltonian optimization (Q-CHOP) algorithm by constructing appropriate gauge-field terms to be added to the total Hamiltonian H_tot(θ) that reduce nonadiabatic errors while maintaining feasible-subspace evolution, and quantify their benefits across objective Hamiltonians.

Information Square Streamline Icon: https://streamlinehq.com

Background

In Section 3.2 the authors note that for linear objectives an added term proportional to the global Y-rotation generator S_y can be identified with approximate counterdiabatic driving. They suggest that similar counterdiabatic terms may benefit Q-CHOP more generally, especially for non-linear objectives, but do not develop these terms in the paper.

The explicit open item calls for incorporating counterdiabatic (shortcut-to-adiabaticity) techniques into Q-CHOP and evaluating their impact, which would complement the adiabatic schedule constructed from the problem's objective and constraints.

References

For simplicity, we leave he consideration of counterdiabatic driving in Q-CHOP to future work, but remark that there may generally be benefits to Q-CHOP from borrowing related shortcut-to-adiabaticity techniques.

Q-CHOP: Quantum constrained Hamiltonian optimization (2403.05653 - Perlin et al., 8 Mar 2024) in Section 3.2 (Odd objectives and bad solutions)