The urgency of tackling climate change is driving a global shift towards renewable sources
of energy, with a growing contribution from alternative energy sources such as solar, wind …

This study investigates the application of Factorization Machines with Quantum Annealing
(FMQA) to address the crystal structure problem (CSP) in materials science. FMQA is a black …

We propose an adiabatic time evolution (ATE) method for obtaining the ground state of a
quantum many-electron system on a quantum circuit based on first quantization. As a …

The increasing presence of pharmaceuticals and personal care products (PPCPs) in aquatic
systems pose significant environmental concerns. This study addresses this issue by …

Ising machines have been developed as fast and highly accurate solvers for combinatorial
optimization problems. They are classified based on their internal algorithms, with examples …

Molecule screening from a vast number of possible compounds is a challenging task. The
emergence of quadratic unconstrained binary optimization (QUBO) solvers provides …

By analyzing the characteristics of hardware-native Ising Models and their performance on
current and next generation quantum annealers, we provide a framework for determining the …

This article demonstrates a high-speed search for polycyclic aromatic hydrocarbons with
desirable properties, combining Fujitsu's Quantum-inspired Computing Digital Annealer …

Topology optimization is an essential tool in computational engineering, for example, to
improve the design and efficiency of flow channels. At the same time, Ising machines …

This paper presents an initialization method that can approximate a given approximate Ising
model with a high degree of accuracy using the Factorization Machine (FM), a machine …