:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Xiaoyang, Chai, Yahui, Feng, Xu, Guo, Yibin, Jansen, Karl, Tüysüz, Cenk
Format:	Preprint
Published:	2024
Subjects:	Quantum Physics
Online Access:	https://arxiv.org/abs/2408.09083
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sample-based training of quantum generative models
by: Demidik, Maria, et al.
Published: (2025)

Expressive equivalence of classical and quantum restricted Boltzmann machines
by: Demidik, Maria, et al.
Published: (2025)

Scalable Quantum Algorithm for Meson Scattering in a Lattice Gauge Theory
by: Chai, Yahui, et al.
Published: (2025)

Gaussian boson sampling for binary optimization
by: Cazalis, Jean, et al.
Published: (2024)

Symmetry breaking in geometric quantum machine learning in the presence of noise
by: Tüysüz, Cenk, et al.
Published: (2024)

Problem specific ion native ansatz for combinatorial optimization
by: Paradezhenko, Georgii, et al.
Published: (2025)

Learning to generate high-dimensional distributions with low-dimensional quantum Boltzmann machines
by: Tüysüz, Cenk, et al.
Published: (2024)

Leveraging commuting groups for an efficient variational Hamiltonian ansatz
by: Anand, Abhinav, et al.
Published: (2023)

Hamiltonian variational ansatz without barren plateaus
by: Park, Chae-Yeun, et al.
Published: (2023)

Variational Quantum Eigensolver Approach to Prime Factorization on IBM's Noisy Intermediate Scale Quantum Computer
by: Sobhani, Mona, et al.
Published: (2024)

Hamiltonian-based graph-state ansatz for variational quantum algorithms
by: Anand, Abhinav, et al.
Published: (2023)

An introduction to variational quantum algorithms for combinatorial optimization problems
by: Grange, Camille, et al.
Published: (2022)

Sub-universal variational circuits for combinatorial optimization problems
by: Weitz, Gal, et al.
Published: (2023)

Exploring critical states of the quantum Rabi model via Hamiltonian variational ansätze
by: Peng, Mei, et al.
Published: (2025)

Convergence guarantee for linearly-constrained combinatorial optimization with a quantum alternating operator ansatz
by: Goldstein-Gelb, Brayden, et al.
Published: (2024)

Benchmarking Variational Quantum Algorithms for Combinatorial Optimization in Practice
by: Schwägerl, Tim, et al.
Published: (2024)

Warm Start of Variational Quantum Algorithms for Quadratic Unconstrained Binary Optimization Problems
by: Chai, Yahui, et al.
Published: (2024)

Post-processing variationally scheduled quantum algorithm for constrained combinatorial optimization problems
by: Shirai, Tatsuhiko, et al.
Published: (2023)

Kubernetes-Orchestrated Hybrid Quantum-Classical Workflows
by: Tejedor, Mar, et al.
Published: (2026)

Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimization problems on quantum computers
by: Roshani, Navid, et al.
Published: (2024)

Physics inspired quantum algorithm for QCD splitting functions
by: Rouxinol, Gabriel, et al.
Published: (2026)

Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance
by: Wang, Shengbin, et al.
Published: (2024)

Learning response functions of analog quantum computers: analysis of neutral-atom and superconducting platforms
by: Tüysüz, Cenk, et al.
Published: (2025)

Genetic optimization of ansatz expressibility for enhanced variational quantum algorithm performance
by: Mallapur, Manish, et al.
Published: (2025)

Quantum computing inspired paintings: reinterpreting classical masterpieces
by: Crippa, Arianna, et al.
Published: (2024)

Variational quantum algorithms for permutation-based combinatorial problems: Optimal ansatz generation with applications to quadratic assignment problems and beyond
by: Mermoud, Dylan Laplace, et al.
Published: (2025)

Quantum combinatorial optimization beyond the variational paradigm: simple schedules for hard problems
by: Bode, Tim, et al.
Published: (2024)

Concurrent VQE for Simulating Excited States of the Schwinger Model
by: Guo, Yibin, et al.
Published: (2024)

Guided sampling ansätzes for variational quantum computing
by: Gunlycke, Daniel, et al.
Published: (2025)

Meson thermalization with a hot medium in the open Schwinger model
by: Angelides, Takis, et al.
Published: (2025)

Simulating matrix models with tensor networks
by: Brehm, Enrico M., et al.
Published: (2024)

Hermitian-preserving ansatz and variational open quantum eigensolver
by: Shang, Zhong-Xia
Published: (2024)

Fast quantum state preparation and bath dynamics using non-Gaussian variational ansatz and quantum optimal control
by: Bond, Liam J., et al.
Published: (2023)

Performance guarantees of light-cone variational quantum algorithms for the maximum cut problem
by: Wang, Xiaoyang, et al.
Published: (2025)

Small-scale Hamiltonian optimization of interpolating operators for Lagrangian lattice quantum field theory
by: Avkhadiev, Artur, et al.
Published: (2024)

Fermionic wave packet scattering: a quantum computing approach
by: Chai, Yahui, et al.
Published: (2023)

Quantum Machine Learning for particle scattering entanglement classification
by: Elhag, Hala, et al.
Published: (2026)

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion
by: Beaujeault-Taudière, Yann
Published: (2025)

Solving non-native combinatorial optimization problems using hybrid quantum-classical algorithms
by: Wurtz, Jonathan, et al.
Published: (2024)

DAPO-QAOA: An algorithm for solving combinatorial optimization problems by dynamically constructing phase operators
by: Wang, Yukun, et al.
Published: (2025)