activity
20172026
most citedQuantum expectation-value estimation by computational basis sampling

31 citations · 77 across the 15 of their papers we have counts for

collaborators

16 papers

quant-ph2026

Explicit Quantum Circuit Simulation of Nonlinear 1-Dimensional Fluid with Carleman-linearized Boltzmann Method

Keita Kanno, Kazumasa Ueno, Hayato Higuchi +5

Quantum computation of fluid dynamics has attracted growing attention as a key application of fault-tolerant quantum computers anticipated in the coming decade, with lattice Boltzm…

quant-ph2026

Evaluating higher-order product formulae for molecular ground-state energy estimation

Hiromu Abe, Keita Kanno, Ryosuke Kimura +2

We evaluate deterministic higher-order product formulae for molecular ground-state energy estimation. Motivated by recent fault-tolerant architectures in which non-Clifford operati…

quant-ph2026

A Demonstration of Quantum Circuit Implementation for Obstacle Flow Using Carleman-Linearized Lattice Boltzmann Method

Kazumasa Ueno, Keita Kanno, Yasunori Lee

Fluid simulations, especially at high Reynolds numbers, are computationally expensive on classical computers, making them promising application targets for quantum computing. Recen…

quant-ph2025

On universality of hardware-efficient ansatzes

Hokuto Iwakiri, Keita Kanno

The hardware-efficient ansatz (HEA) is one of the most important class of parametrized quantum circuits for near-term applications of quantum computing. We show that the problem of…

quant-ph2024

Quantum expectation value estimation by doubling the number of qubits

Hiroshi Yano, Masaya Kohda, Shoichiro Tsutsui +4

Expectation value estimation is ubiquitous in quantum algorithms. The expectation value of a Hamiltonian, which is essential in various practical applications, is often estimated b…

quant-ph2024★ 1 cited

Orbital-rotated Fermi-Hubbard model as a benchmarking problem for quantum chemistry with the exact solution

Ryota Kojima, Masahiko Kamoshita, Keita Kanno

Quantum chemistry is a key target for quantum computing, but benchmarking quantum algorithms for large molecular systems remains challenging due to the lack of exactly solvable yet…