Amplitude estimation via maximum likelihood on noisy quantum computer
- URL: http://arxiv.org/abs/2006.16223v3
- Date: Mon, 11 Oct 2021 12:23:38 GMT
- Title: Amplitude estimation via maximum likelihood on noisy quantum computer
- Authors: Tomoki Tanaka, Yohichi Suzuki, Shumpei Uno, Rudy Raymond, Tamiya
Onodera, and Naoki Yamamoto
- Abstract summary: We give an experimental demonstration on a superconducting IBM Quantum device.
We show that the proposed maximum likelihood estimator achieves quantum speedup in the number of queries.
- Score: 3.5462326830737805
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Recently we find several candidates of quantum algorithms that may be
implementable in near-term devices for estimating the amplitude of a given
quantum state, which is a core sub- routine in various computing tasks such as
the Monte Carlo methods. One of those algorithms is based on the maximum
likelihood estimate with parallelized quantum circuits. In this paper, we
extend this method so that it incorporates the realistic noise effect, and then
give an experimental demonstration on a superconducting IBM Quantum device. The
maximum likelihood estimator is constructed based on the model assuming the
depolarization noise. We then formulate the problem as a two-parameters
estimation problem with respect to the target amplitude parameter and the noise
parameter. In particular we show that there exist anomalous target values,
where the Fisher information matrix becomes degenerate and consequently the
estimation error cannot be improved even by increasing the number of amplitude
amplifications. The experimental demonstration shows that the proposed maximum
likelihood estimator achieves quantum speedup in the number of queries, though
the estimation error saturates due to the noise. This saturated value of
estimation error is consistent to the theory, which implies the validity of the
depolarization noise model and thereby enables us to predict the basic
requirement on the hardware components (particularly the gate error) in quantum
computers to realize the quantum speedup in the amplitude estimation task.
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