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20232026
most citedFeedback-driven quantum reservoir computing for time-series analysis

36 citations · 58 across the 12 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

quant-ph2023★ 3 cited

Experimental Demonstration of Fermionic QAOA with One-Dimensional Cyclic Driver Hamiltonian

Takuya Yoshioka, Keita Sasada, Yuichiro Nakano +1

Quantum approximate optimization algorithm (QAOA) has attracted much attention as an algorithm that has the potential to efficiently solve combinatorial optimization problems. Amon…

quant-ph2023

Quantum Kernel t-Distributed Stochastic Neighbor Embedding

Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii

Data visualization is important in understanding the characteristics of data that are difficult to see directly. It is used to visualize loss landscapes and optimization trajectori…

quant-ph2023★ 7 cited

End-to-end complexity for simulating the Schwinger model on quantum computers

Kazuki Sakamoto, Hayata Morisaki, Junichi Haruna +3

The Schwinger model is one of the simplest gauge theories. It is known that a topological term of the model leads to the infamous sign problem in the classical Monte Carlo method.…

quant-ph2023★ 4 cited

Continuous optimization by quantum adaptive distribution search

Kohei Morimoto, Yusuke Takase, Kosuke Mitarai +1

In this paper, we introduce the quantum adaptive distribution search (QuADS), a quantum continuous optimization algorithm that integrates Grover adaptive search (GAS) with the cova…

quant-ph2023★ 1 cited

Quantum Circuit Unoptimization

Yusei Mori, Hideaki Hakoshima, Kyohei Sudo +3

Optimization of circuits is an essential task for both quantum and classical computers to improve their efficiency. In contrast, classical logic optimization is known to be difficu…