4 citations · 6 across the 5 of their papers we have counts for
5 papers
Mirror subspace diagonalization: A quantum Krylov algorithm with near-optimal sampling cost
Shota Kanasugi, Yuya O. Nakagawa, Norifumi Matsumoto +3
Quantum Krylov algorithms have emerged as a promising approach for ground-state energy estimation in the near-term quantum computing era. A major challenge, however, lies in their…
Learning quantum many-body data locally: A provably scalable framework
Koki Chinzei, Quoc Hoan Tran, Norifumi Matsumoto +2
Machine learning (ML) holds great promise for extracting insights from complex quantum many-body data obtained in quantum experiments. This approach can efficiently solve certain q…
Fast-forwardability of Qubit-mapped Fermion models based on Cartan decomposition
Yuichiro Hidaka, Shoichiro Tsutsui, Shota Kanasugi +3
We study the Hamiltonian algebra of qubit-mapped interacting fermion models and their fast-forwardability. We prove that the dimension of the Hamiltonian algebra of the fermion mod…
Quantum many-body simulation of finite-temperature systems with sampling a series expansion of a quantum imaginary-time evolution
Norifumi Matsumoto, Shoichiro Tsutsui, Yuya O. Nakagawa +5
Simulating thermal-equilibrium properties at finite temperature is crucial for studying quantum many-body systems. Quantum computers are expected to enable us to simulate large sys…
Subspace-Based Local Compilation of Variational Quantum Circuits for Large-Scale Quantum Many-Body Simulation
Shota Kanasugi, Yuichiro Hidaka, Yuya O. Nakagawa +5
Simulation of quantum many-body systems is a promising application of quantum computers. However, implementing the time-evolution operator as a quantum circuit efficiently on near-…