Results 101 to 110 of about 2,283 (206)
Floquet-Based Ising Machines Escape Local Minima in QUBO Problems
Solving large-scale quadratic unconstrained binary optimization (QUBO) problems is critical in various fields, including physics, finance, and engineering. However, these problems remain intractable on conventional computing architectures.
Nicolas Casilli +5 more
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Quantum Compressed Sensing Tomographic Reconstruction Algorithm
Computed tomography (CT) is a nondestructive technique for observing internal images and has proven highly valuable in medical diagnostics. Recent advances in quantum computing have begun to influence tomographic reconstruction techniques.
Arim Ryou, Kiwoong Kim, Kyungtaek Jun
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Enhancing Federated Learning Privacy with QUBO
8 pages, 9 ...
Andras Ferenczi +3 more
openaire +3 more sources
A comprehensive benchmark of an Ising machine on the Max-Cut problem
Quadratic unconstrained binary optimization (QUBO) formulations of combinatorial optimization problems allow for solving them using various quantum heuristics.
Salwa Shaglel +6 more
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We introduce a method for solving a quadratic unconstrained binary optimization (QUBO) with the two-way one-hot constraints by dividing the QUBO into parts and solving it with an Ising machine.
Akihiro Yatabe, Akihiro Yatabe
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Modeling the Cyclic Bandwidth Problem in QUBO for Quantum Annealing
International audienceWe consider a graph labeling problem, i.e., the cyclic bandwidth problem, and its formulation in QUBO, the input language for quantum computers based on quantum annealing.
Monfroy, Eric, Codognet, Philippe
core +1 more source
HUBO & QUBO and Prime Factorization [PDF]
This document details the methodology and steps taken to convert Higher Order Unconstrained Binary Optimization (HUBO) models into Quadratic Unconstrained Binary Optimization (QUBO) models.
Adam Neumann, Samer Rahmeh
core +1 more source
Quantum computer based feature selection in machine learning
The problem of selecting an appropriate number of features in supervised learning problems is investigated. Starting with common methods in machine learning, the feature selection task is treated as a quadratic unconstrained optimisation problem (QUBO ...
Gerhard Hellstern +2 more
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Hybrid subQUBO Annealing With a Correction Process for Multi-Day Intermodal Trip Planning
The multi-day intermodal trip planning problem (MITPP) is an optimization problem that seeks to create the optimal route to visit Point-of-Interest (POI) and hotels over days. This problem involves coordinating intermodal transportation, such as walking,
Tatsuya Noguchi +3 more
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RinQ: Towards predicting central sites in proteins on current quantum computers
We introduce RinQ, a hybrid quantum–classical framework for identifying functionally critical residues in proteins by formulating centrality detection as a Quadratic Unconstrained Binary Optimization (QUBO) problem.
Shah Ishmam Mohtashim
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