From the 1 of 5 linked papers with an AI index.
5 papers
Quantum machine learning interatomic potential: Application of variational quantum algorithm
Kohei Numata, Wataru Mizukami, Kosuke Mitarai +2
The paper integrates a variational quantum circuit into a classical neural network for interatomic potentials, retraining the ANI model via quantum transfer learning and showing mo…
An LLM System for Autonomous Variational Quantum Circuit Design
Kenya Sakka, Wataru Mizukami, Kosuke Mitarai
The design of high performing quantum circuits remains largely dependent on human expertise. We introduce an autonomous agentic framework that employs large language models (LLMs)…
Quantum Power Iteration Unified Using Generalized Quantum Signal Processing
Viktor Khinevich, Yasunori Lee, Nobuyuki Yoshioka +1
We propose a unifying framework for the state preparation using quantum power method algorithms based on generalized quantum signal processing (GQSP). We apply GQSP to realize quan…
Comprehensive Study on Heisenberg-limited Quantum Algorithms for Multiple Observables Estimation
Yuki Koizumi, Kaito Wada, Wataru Mizukami +1
In the accompanying paper of arXiv:2505.00697, we have presented a generalized scheme of adaptive quantum gradient estimation (QGE) algorithm, and further proposed two practical va…
Faster Quantum Algorithm for Multiple Observables Estimation in Fermionic Problems
Yuki Koizumi, Kaito Wada, Wataru Mizukami +1
Achieving quantum advantage in efficiently estimating collective properties of quantum many-body systems remains a fundamental goal in quantum computing. While the quantum gradient…