67 citations · 355 across the 27 of their papers we have counts for
5 papers · 1 filter
On the bias in iterative quantum amplitude estimation
Koichi Miyamoto
Quantum amplitude estimation (QAE) is a pivotal quantum algorithm to estimate the squared amplitude of the target basis state in a quantum state . Various improvemen…
A comprehensive survey on quantum computer usage: How many qubits are employed for what purposes?
Tsubasa Ichikawa, Hideaki Hakoshima, Koji Inui +18
Quantum computers (QCs), which work based on the law of quantum mechanics, are expected to be faster than classical computers in several computational tasks such as prime factoring…
The cross-sectional stock return predictions via quantum neural network and tensor network
Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto +1
In this paper, we investigate the application of quantum and quantum-inspired machine learning algorithms to stock return predictions. Specifically, we evaluate the performance of…
Quantum Metropolis-Hastings algorithm with the target distribution calculated by quantum Monte Carlo integration
Koichi Miyamoto
The Markov chain Monte Carlo method (MCMC), especially the Metropolis-Hastings (MH) algorithm, is a widely used technique for sampling from a target probability distribution on…
Quantum algorithm for position weight matrix matching
Koichi Miyamoto, Naoki Yamamoto, Yasubumi Sakakibara
We propose two quantum algorithms for a problem in bioinformatics, position weight matrix (PWM) matching, which aims to find segments (sequence motifs) in a biological sequence suc…