output
20122026
most citedLearning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

226 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing quant-phShow all

7 papers · 1 filter

quant-ph2025

Orthogonal frequency-division multiplexing for simultaneous gate operations on multiple qubits via a shared control line

Haruki Mitarai, Yukihiro Tadokoro, Hiroya Tanaka

The increasing number of qubits in quantum processors necessitates a corresponding increase in the number of control lines between the processor, which is typically operated at cry…

quant-ph2025

Quantum algorithm for Electromagnetic Field Analysis

Hiroyuki Tezuka, Yuki Sato

Partial differential equations (PDEs) are central to computational electromagnetics (CEM) and photonic design, but classical solvers face high costs for large or complex structures…

quant-ph2025

Joint Optimization of Electric Vehicle Routes and Charging Locations through Learning Charge Constraints Using QUBO Solvers

Akihisa Okada, Keisuke Otaki, Hiroaki Yoshida

Optimal routing problems of electric vehicles (EVs) have attracted much attention in recent years, and installation of charging stations is an important issue for EVs. Hence, we fo…

quant-ph2025

Multilevel Circuit Optimization in Quantum Compilers: A Case Study

Tamiya Onodera, Yuki Sato, Toshinari Itoko +1

In this paper, we explore multilevel circuit optimization (MLCO), where we deploy multiple gate sets and progressively lower the source circuit through the gate sets to the target…

quant-ph2024★ 16 cited

Quantum algorithm for partial differential equations of non-conservative systems with spatially varying parameters

Yuki Sato, Hiroyuki Tezuka, Ruho Kondo +1

Partial differential equations (PDEs) are crucial for modeling various physical phenomena such as heat transfer, fluid flow, and electromagnetic waves. In computer-aided engineerin…

quant-ph2024★ 4 cited

Simulating optically-active spin defects with a quantum computer

Jack S. Baker, Pablo A. M. Casares, Modjtaba Shokrian Zini +5

There is a pressing need for more accurate computational simulations of the opto-electronic properties of defects in materials to aid in the development of quantum sensing platform…

quant-ph2024★ 24 cited

Hamiltonian simulation for hyperbolic partial differential equations by scalable quantum circuits

Yuki Sato, Ruho Kondo, Ikko Hamamura +2

Solving partial differential equations for extremely large-scale systems within a feasible computation time serves in accelerating engineering developments. Quantum computing algor…