An approximate quantum Hamiltonian identification algorithm using a Taylor expansion of the matrix exponential function
An approximate quantum Hamiltonian identification algorithm is presented with the assumption that the system initial state and observation matrix can be set appropriately. We sample the system with a fixed period and using the sampled data we estimate the Hamiltonian based on a Taylor expansion of the matrix exponential function. We prove the estimation error is linear in the variance of the additive Gaussian noise. We also propose a heuristic formula to find the order of magnitude of the...[Show more]
|Collections||ANU Research Publications|
|Source:||2017 IEEE 56th Annual Conference on Decision and Control, (CDC) 2017|
|Access Rights:||Open Access|
|HI.pdf||445.64 kB||Adobe PDF|
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