activity
20242026
collaborators

7 papers

quant-ph2026

Efficient Quantum Circuit Construction of Controlled Time-Evolution for Arbitrary Pauli-Sum Hamiltonians

Shintaro Fujiwara, Naoki Yamamoto, Naoki Ishikawa

Controlled time-evolution circuits select forward or backward Hamiltonian time evolution according to the state of an ancilla qubit. They are fundamental building blocks in quantum…

eess.SP2026

Penalty-Free Two-Step Optimization of Higher-Order Ising Problems for Two-Dimensional Line-Controlled RIS

Tasuku Okamoto, Naoki Ishikawa, Daisuke Kitayama +5

Reconfigurable intelligent surfaces (RISs) are often assumed to allow continuous phase control over all elements, leading to hardware cost that scales with the number of elements.…

cs.IT2026

Scalable and Near-Optimal Discrete Phase Shift Optimization for Reconfigurable Intelligent Surfaces with Over 20,000 Elements

Yuto Hama, Daisuke Kitayama, Kensuke Inaba +4

This paper proposes a novel optimization framework for discrete phase shifts of a reconfigurable intelligent surface (RIS) using a coherent Ising machine (CIM). Unlike conventional…

eess.SP2025

Quantum-Accelerated Wireless Communications: Concepts, Connections, and Implications

Naoki Ishikawa, Giuseppe Thadeu Freitas de Abreu, Petar Popovski +1

Quantum computing is poised to redefine the algorithmic foundations of communication systems. While quantum superposition and entanglement enable quadratic or exponential speedups…

quant-ph2025

Grover Adaptive Search for the Higher-Order Formulation of Quadratic Assignment Problems

Taku Mikuriya, Shintaro Fujiwara, Kein Yukiyoshi +2

We demonstrate that the search space of the quadratic assignment problem (QAP), known as an NP-hard combinatorial optimization problem, can be reduced using Grover adaptive search…

quant-ph2025

Grover Adaptive Search with Spin Variables

Shintaro Fujiwara, Naoki Ishikawa

This paper presents a novel approach to Grover adaptive search (GAS) for a combinatorial optimization problem whose objective function involves spin variables. While the GAS algori…