Cover Image

Investigating Techniques to Optimise the Layout of Turbines in a Windfarm using a Quantum Computer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hancock, James, Craven, Matthew J., McNeile, Craig, Vadacchino, Davide
Format:	Preprint
Published:	2023
Subjects:	Quantum Physics 68Q12, 90C27 F.1.2; G.1.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Investigating methods to solve large windfarm optimization problems with a minimum number of qubits using circuit-based quantum computers
by: Hancock, James, et al.
Published: (2025)

Quantum Phase Transition of Non-Hermitian Systems using Variational Quantum Techniques
by: Hancock, James, et al.
Published: (2025)

Scalability Challenges in Variational Quantum Optimization under Stochastic Noise
by: Bärligea, Adelina, et al.
Published: (2025)

Computational Phase Transitions in Binary Compressed Sensing: Quantum Annealing Inside the Relaxation Gap
by: Hahn, William, et al.
Published: (2026)

A Quantum Computing Approach for the Unit Commitment Problem
by: Halffmann, Pascal, et al.
Published: (2022)

A Reduction from Delayed to Immediate Feedback for Online Convex Optimization with Improved Guarantees
by: Ryabchenko, Alexander, et al.
Published: (2026)

Fast Expectation Value Calculation Speedup of Quantum Approximate Optimization Algorithm: HoLCUs QAOA
by: Ali, Alejandro Mata
Published: (2025)

Leveraging Analog Neutral Atom Quantum Computers for Diversified Pricing in Hybrid Column Generation Frameworks
by: Perron, Cédrick, et al.
Published: (2025)

Quantum walk informed variational algorithm design
by: Matwiejew, Edric, et al.
Published: (2024)

Quantum Computing in Logistics and Supply Chain Management an Overview
by: Phillipson, Frank
Published: (2024)

Quantum Annealing and Tensor Networks: a Powerful Combination to Solve Optimization Problems
by: Binimelis, Miquel Albertí
Published: (2024)

Hybrid LLM and Higher-Order Quantum Approximate Optimization for CSA Collateral Management
by: Jin, Tao, et al.
Published: (2025)

Harnessing Inferior Solutions For Superior Outcomes: Obtaining Robust Solutions From Quantum Algorithms
by: Halffmann, Pascal, et al.
Published: (2024)

Reliable Optimization Under Noise in Quantum Variational Algorithms
by: Novák, Vojtěch, et al.
Published: (2025)

Quadratic Programming over Linearly Ordered Fields: Decidability and Attainment of Optimal Solutions
by: Plutenko, Dmytro O.
Published: (2026)

Task Scheduling Optimization with Direct Constraints from a Tensor Network Perspective
by: Ali, Alejandro Mata, et al.
Published: (2023)

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem
by: Vodeb, Jaka, et al.
Published: (2024)

Quasi-binary encoding based quantum alternating operator ansatz
by: Chen, Bingren, et al.
Published: (2023)

Advances in Quantum Genetic Algorithms
by: Lima, Dennis, et al.
Published: (2025)

Polynomial-time Solver of Tridiagonal QUBO, QUDO and Tensor QUDO problems with Tensor Networks
by: Ali, Alejandro Mata, et al.
Published: (2023)

Tensor-Network Formulation of the Traveling Salesman Problem and Variants
by: Ali, Alejandro Mata, et al.
Published: (2023)

Discovering Algorithms with Computational Language Processing
by: Bourdais, Theo, et al.
Published: (2025)

Deterministic Quantum Search via Recursive Oracle Expansion
by: Burke, John, et al.
Published: (2025)

Optimization Strategies for Variational Quantum Algorithms in Noisy Landscapes
by: Novák, Vojtěch, et al.
Published: (2025)

Convergence and efficiency proof of quantum imaginary time evolution for bounded order systems
by: Hartung, Tobias, et al.
Published: (2025)

Quantum Advantage in Computational Chemistry?
by: Gundlach, Hans, et al.
Published: (2025)

An Inexact Feasible Interior Point Method for Linear Optimization with High Adaptability to Quantum Computers
by: Mohammadisiahroudi, Mohammadhossein, et al.
Published: (2023)

Iteration complexity of the Difference-of-Convex Algorithm for unconstrained optimization: a simple proof
by: Gratton, Serge, et al.
Published: (2026)

Simultaneously optimizing symmetry shifts and tensor factorizations for cost-efficient Fault-Tolerant Quantum Simulations of electronic Hamiltonians
by: Deka, Konrad, et al.
Published: (2024)

Quantum Search without Global Diffusion
by: Burke, John, et al.
Published: (2026)

Practical Quantum CIM Empowerment via All-Domestic-Core Agentic Large Model
by: Rui, Wang, et al.
Published: (2026)

A Stochastic Objective-Function-Free Adaptive Regularization Method with Optimal Complexity
by: Gratton, Serge, et al.
Published: (2024)

Fast Stochastic Second-Order Adagrad for Nonconvex Bound-Constrained Optimization
by: Bellavia, S., et al.
Published: (2025)

Quantum Discrete Variable Representations
by: Pliś, Szymon, et al.
Published: (2025)

Less Quantum, More Advantage: An End-to-End Quantum Algorithm for the Jones Polynomial
by: Laakkonen, Tuomas, et al.
Published: (2025)

Quantum Algorithm for Local-Volatility Option Pricing via the Kolmogorov Equation
by: Guseynov, Nikita, et al.
Published: (2025)

Near-Optimal Coalition Structures in Polynomial Time
by: Majumdar, Angshul
Published: (2025)

Leveraging Multi-Instance GPUs through moldable task scheduling
by: Villarrubia, Jorge, et al.
Published: (2025)

Examples of slow convergence for adaptive regularization optimization methods are not isolated
by: Toint, Philippe L.
Published: (2024)

Refining asymptotic complexity bounds for nonconvex optimization methods, including why steepest descent is $o(ε^{-2})$ rather than $\mathcal{O}(ε^{-2})$
by: Gratton, Serge, et al.
Published: (2024)