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20192025
most citedParton distribution functions of on the lattice

54 citations · 108 across the 11 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

quant-ph2024

Gaussian boson sampling for binary optimization

Jean Cazalis, Tirth Shah, Yahui Chai +2

Binary optimization is a fundamental area in computational science, with wide-ranging applications from logistics to cryptography, where the tasks are often formulated as Quadratic…

quant-ph2024

Quantum computing inspired paintings: reinterpreting classical masterpieces

Arianna Crippa, Yahui Chai, Omar Costa Hamido +2

We aim to apply a quantum computing technique to compose artworks. The main idea is to revisit three paintings of different styles and historical periods: ''Narciso'', painted circ…

quant-ph2024

Variational Quantum Eigensolver Approach to Prime Factorization on IBM's Noisy Intermediate Scale Quantum Computer

Mona Sobhani, Yahui Chai, Tobias Hartung +1

This paper presents a hybrid quantum-classical approach to prime factorization. The proposed algorithm is based on the Variational Quantum Eigensolver (VQE), which employs a classi…

quant-ph2024★ 2 cited

Benchmarking Variational Quantum Algorithms for Combinatorial Optimization in Practice

Tim Schwägerl, Yahui Chai, Tobias Hartung +2

Variational quantum algorithms and, in particular, variants of the varational quantum eigensolver have been proposed to address combinatorial optimization (CO) problems. Using only…

quant-ph2024★ 4 cited

Imaginary Hamiltonian variational ansatz for combinatorial optimization problems

Xiaoyang Wang, Yahui Chai, Xu Feng +3

Obtaining exact solutions to combinatorial optimization problems using classical computing is computationally expensive. The current tenet in the field is that quantum computers ca…

quant-ph2024★ 1 cited

Warm Start of Variational Quantum Algorithms for Quadratic Unconstrained Binary Optimization Problems

Yahui Chai, Karl Jansen, Stefan Kühn +2

Variational Quantum Eigensolver (VQE) is widely used in near-term hardware. However, their performances remain limited by the poor trainability and are dependent on random paramete…