Likelihood Amplitude Estimation on Noisy Quantum Computers

Wednesday December 2, 2020

Tomoki Tanaka, vice president of Mitsubishi UFJ Financial Group and MUFG Bank, shared the findings of his research on maximum likelihood amplitude estimation. Working with researchers from the financial team at the IBM Q Network Hub at Keio University, Tanaka found several quantum algorithms that may be implementable in near-term devices for estimating the amplitude of a given quantum state. This is a core subroutine in various computing tasks, such as the Monte Carlo method. One of the algorithms Tanaka’s team identified is based on the maximum likelihood estimate with parallelized quantum circuits. In their research, the team extended this method to enable it to deal with the realistic noise effect. The validity of the proposed noise model is supported by an experimental demonstration on an IBM Q device, which enables the team 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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Tomoki Tanaka
Quantum Computing Center, Keio University; Vice President, Mitsubishi UFJ Financial Group and MUFG Bank