68 citations · 146 across the 11 of their papers we have counts for
12 papers
Polynomial-Time Constructions of Asymptotically Good Random Access Codes from Linear Codes
Ruho Kondo, Yota Maeda
Random access codes (RACs) encode a -ary input string into fewer -ary symbols while allowing any requested input symbol to be recovered with probability above the random-gues…
Random Access Codes: Explicit Constructions, Optimality, and Classical-Quantum Gaps
Ruho Kondo, Yuki Sato, Hiroshi Yano +3
A random access code (RAC) encodes an -bit string into a -bit message, , so that any requested bit can be recovered with high probability; a quantum RAC (QRAC) uses …
Efficient computational homogenization via tensor train format
Yuki Sato, Yuto Lewis Terashima, Ruho Kondo
Real-world physical systems, like composite materials and porous media, exhibit complex heterogeneities and multiscale nature, posing significant computational challenges. Computat…
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…
Noise Robustness of Quantum Relaxation for Combinatorial Optimization
Kentaro Tamura, Yohichi Suzuki, Rudy Raymond +5
QRAO (Quantum Random Access Optimization) is a relaxation algorithm that reduces the number of qubits required to solve a problem by encoding multiple variables per qubit using QRA…
Recursive Quantum Relaxation for Combinatorial Optimization Problems
Ruho Kondo, Yuki Sato, Rudy Raymond +1
Quantum optimization methods use a continuous degree-of-freedom of quantum states to heuristically solve combinatorial problems, such as the MAX-CUT problem, which can be attribute…
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…
Variational quantum algorithm for generalized eigenvalue problems and its application to the finite element method
Yuki Sato, Hiroshi C. Watanabe, Rudy Raymond +5
Generalized eigenvalue problems (GEPs) play an important role in the variety of fields including engineering, machine learning and quantum chemistry. Especially, many problems in t…
Quantum topology optimization of ground structures using noisy intermediate-scale quantum devices
Yuki Sato, Ruho Kondo, Satoshi Koide +1
To arrive at some viable product design, product development processes frequently use numerical simulations and mathematical programming techniques. Topology optimization, in parti…
Computationally Efficient Quantum Expectation with Extended Bell Measurements
Ruho Kondo, Yuki Sato, Satoshi Koide +2
Evaluating an expectation value of an arbitrary observable through naïve Pauli measurements requires a large number of terms to be evaluated. We a…
Variational quantum algorithm based on the minimum potential energy for solving the Poisson equation
Yuki Sato, Ruho Kondo, Satoshi Koide +2
Computer-aided engineering techniques are indispensable in modern engineering developments. In particular, partial differential equations are commonly used to simulate the dynamics…
PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation
Noriaki Hirose, Satoshi Koide, Keisuke Kawano +1
We propose a novel objective for penalizing geometric inconsistencies to improve the depth and pose estimation performance of monocular camera images. Our objective is designed usi…