Image de couverture de livre

Learning parameter curves in feedback-based quantum optimization algorithms

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pérez, Vicente Peña, Grace, Matthew D., Arenz, Christian, Magann, Alicia B.
Format:	Preprint
Publié:	2026
Sujets:	Quantum Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Trajectory-independent speed limits for controlled open quantum systems
par: Larsen, James B., et autres
Publié: (2026)

Non-Variational ADAPT algorithm for quantum simulations
par: Tang, Ho Lun, et autres
Publié: (2024)

Hamiltonian simulation in Zeno subspaces
par: Dizaji, Kasra Rajabzadeh, et autres
Publié: (2024)

Quantum tracking control of the orientation of symmetric top molecules
par: Magann, Alicia B., et autres
Publié: (2023)

Fast-feedback protocols for calibration and drift control in quantum computers
par: Magann, Alicia B., et autres
Publié: (2025)

Riemannian gradient descent-based quantum algorithms for ground state preparation with guarantees
par: Pervez, Mahum, et autres
Publié: (2025)

Classical algorithm inspired by the feedback-based algorithm for quantum optimization and local counterdiabatic driving
par: Hatomura, Takuya
Publié: (2025)

Shadow measurements for feedback-based quantum optimization
par: Bertuzzi, Leticia, et autres
Publié: (2025)

Simulation of a feedback-based algorithm for quantum optimization for a realistic neutral atom system with an optimized small-angle controlled-phase gate
par: Li, S. X., et autres
Publié: (2024)

On the convergence of the variational quantum eigensolver and quantum optimal control
par: Wiedmann, Marco, et autres
Publié: (2025)

Tensor networks based quantum optimization algorithm
par: Akshay, V., et autres
Publié: (2024)

Spectral Gaps via Imaginary Time
par: Leamer, Jacob M., et autres
Publié: (2023)

Quantum Dynamical Emulation of Imaginary Time Evolution
par: Leamer, Jacob M., et autres
Publié: (2024)

Spectral gaps of two- and three-dimensional many-body quantum systems in the thermodynamic limit
par: Lukin, Illya V., et autres
Publié: (2024)

QestOptPOVM: An iterative algorithm to find optimal measurements for quantum parameter estimation
par: Zhang, Jianchao, et autres
Publié: (2024)

Non-Markovian feedback for optimized quantum error correction
par: Puviani, Matteo, et autres
Publié: (2023)

Equating quantum imaginary time evolution, Riemannian gradient flows, and stochastic implementations
par: McMahon, Nathan A., et autres
Publié: (2025)

Scalable circuit depth reduction in feedback-based quantum optimization with a quadratic approximation
par: Arai, Don, et autres
Publié: (2024)

Learning How to Dynamically Decouple
par: Rahman, Arefur, et autres
Publié: (2024)

Requirements for building effective Hamiltonians using quantum-enhanced density matrix downfolding
par: Pathak, Shivesh, et autres
Publié: (2024)

Topological quantum compilation of metaplectic anyons based on the genetic optimized algorithms
par: Long, Jiangwei, et autres
Publié: (2025)

Calculating the expected value function of a two-stage stochastic optimization program with a quantum algorithm
par: Rotello, Caleb, et autres
Publié: (2024)

Feedback-based quantum optimization and its classical counterpart: quantum advantage and the power of classical algorithms
par: Hattori, Tomohiro, et autres
Publié: (2026)

Imaginary-time-enhanced feedback-based quantum algorithms for universal ground-state preparation
par: Van Long, Thanh Nguyen, et autres
Publié: (2025)

Photonic counterdiabatic quantum optimization algorithm
par: Chandarana, Pranav, et autres
Publié: (2023)

The optimization of exact multi-target quantum search algorithm based on MindSpore
par: Zhong, Shijin, et autres
Publié: (2024)

HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware
par: Sawaya, Nicolas PD, et autres
Publié: (2023)

Riemannian quantum circuit optimization based on matrix product operators
par: Le, Isabel Nha Minh, et autres
Publié: (2025)

Multi-mode cooling of a Bose-Einstein condensate with linear quantum feedback
par: Mehdi, Zain, et autres
Publié: (2025)

Compressed space quantum approximate optimization algorithm for constrained combinatorial optimization
par: Shirai, Tatsuhiko, et autres
Publié: (2024)

Amplification of bosonic interactions through squeezing in the presence of decoherence
par: Tiwari, Ankit, et autres
Publié: (2026)

Consensus-based qubit configuration optimization for variational algorithms on neutral atom quantum systems
par: de Keijzer, Robert, et autres
Publié: (2025)

Near optimal quantum algorithm for estimating Shannon entropy
par: Shin, Myeongjin, et autres
Publié: (2025)

Compressed sensing enhanced by quantum approximate optimization algorithm
par: Chevalier, Baptiste, et autres
Publié: (2024)

On the dynamical Lie algebras of quantum approximate optimization algorithms
par: Allcock, Jonathan, et autres
Publié: (2024)

Oracle problems as communication tasks and optimization of quantum algorithms
par: Te'eni, Amit, et autres
Publié: (2024)

Multilevel leapfrogging initialization for quantum approximate optimization algorithm
par: Ni, Xiao-Hui, et autres
Publié: (2023)

Quantum and classical correlations in shrinking algorithms for optimization
par: Fischer, Victor, et autres
Publié: (2024)

General quantum-classical dynamics as measurement based feedback
par: Tilloy, Antoine
Publié: (2024)

Molecular docking via quantum approximate optimization algorithm
par: Ding, Qi-Ming, et autres
Publié: (2023)