Conference paper
Quantum Kernel Alignment with Stochastic Gradient Descent
Gian Gentinetta, David Sutter, et al.
QCE 2023
Variational quantum time evolution (VarQTE) allows us to simulate dynamical quantum systems with parameterized quantum circuits. We derive a posteriori, global phase-agnostic error bounds for real and imaginary time evolution based on McLachlan's variational principle that can be evaluated efficiently. Rigorous error bounds are crucial in practice to adaptively choose variational circuits and to analyze the quality of optimization algorithms. The power of the new error bounds, as well as, the performance of VarQTE are demonstrated on numerical examples.
Gian Gentinetta, David Sutter, et al.
QCE 2023
Hong-ye Hu, Andi Gu, et al.
APS March Meeting 2024
Kalyan Dasgupta, Binoy Paine
arXiv
Devin Underwood, Joseph Glick, et al.
APS March Meeting 2024