Results 51 to 60 of about 3,222 (193)
HUBO formulations for solving the eigenvalue problem
Solving the eigenvalue problem is particularly important in almost all fields of science and engineering. With the development of quantum computers, multiple algorithms have been proposed for this purpose.
Kyungtaek Jun, Hyunju Lee
doaj +1 more source
An Integrated Programming and Development Environment for Adiabatic Quantum Optimization
Adiabatic quantum computing is a promising route to the computational power afforded by quantum information processing. The recent availability of adiabatic hardware has raised challenging questions about how to evaluate adiabatic quantum optimization ...
Bennink, Ryan S. +7 more
core +1 more source
Toward Solution‐Time Advantage With Error‐Mitigated Quantum Annealing for Combinatorial Optimization
This paper presents a novel error mitigation technique to address the qubit errors that occur when solving combinatorial optimization problems with quantum annealing. The approach significantly speeds up the computation to reach the global optimum solution for a correlated 3D image segmentation model for material microstructures, demonstrating a ...
Yushuang Sam Yang +3 more
wiley +1 more source
Schedule path optimization for quantum annealing and adiabatic quantum computing
Adiabatic quantum computing and optimization have garnered much attention recently as possible models for achieving a quantum advantage over classical approaches to optimization and other special purpose computations. Both techniques are probabilistic in
Sarovar, Mohan, Zeng, Lishan, Zhang, Jun
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Establishing Shape Correspondences: A Survey
Abstract Shape correspondence between surfaces in 3D is a central problem in geometry processing, concerned with establishing meaningful relations between surfaces. While all correspondence problems share this goal, specific formulations can differ significantly: Downstream applications require certain properties that correspondences must satisfy ...
A. Heuschling, H. Meinhold, L. Kobbelt
wiley +1 more source
We present a general method to compute canonical averages for physical models sampled via quantum or classical quadratic unconstrained binary optimization (QUBO).
Francesco Slongo, Cristian Micheletti
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Determination of ATP Content in Cells
The overlap HPLC chromatograms of ATP standard (red) and ATP in cells (blue). Poroshell 120 EC‐C18 (3 × 150 mm, 2.7 μm), 25°C, pH 6.8 buffer solution of 0.05 mol/L KH2PO4 ‐ 0.05 mol/L K2HPO4 (V:V = 1:1) as mobile phase, 0.6 mL/min, 254 nm.
Boqiang Fu +31 more
wiley +1 more source
QUBO formulations for a system of linear equations
Abstract With the advent of quantum computers, many quantum computing algorithms are being developed. Solving linear systems is one of the most fundamental problems in almost all of science and engineering. Harrow-Hassidim-Lloyd algorithm, a monumental quantum algorithm for solving linear systems on the gate model quantum computers, was ...
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A Resource Efficient Ising Model‐Based Quantum Sudoku Solver
ABSTRACT Background Quantum algorithms exploit superposition and parallelism to address complex combinatorial problems, many of which fall into the non‐polynomial (NP) class. Sudoku, a widely known logic‐based puzzle, is proven to be NP‐complete and thus presents a suitable testbed for exploring quantum optimization approaches.
Wen‐Li Wang +5 more
wiley +1 more source
Standardization of Multi-Objective QUBOs
Multi-objective optimization involving Quadratic Unconstrained Binary Optimization (QUBO) problems arises in various domains. A fundamental challenge in this context is the effective balancing of multiple objectives, each potentially operating on very different scales. This imbalance introduces complications such as the selection of appropriate weights
Loong Kuan Lee +2 more
openaire +2 more sources

