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Adaptive Bulk Search: Solving Quadratic Unconstrained Binary Optimization Problems on Multiple GPUs
International Conference on Parallel Processing, 2020The quadratic unconstrained binary optimization (QUBO) is recently gathering attention in conjunction with quantum annealing (QA), since it is equivalent to finding the ground state of an Ising model.
Ryota Yasudo +6 more
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EPJ Quantum Technology
Variational Quantum Eigensolver (VQE) is widely used in near-term hardware. However, their performances remain limited by the poor trainability and are dependent on random parameter initialization. In this work, we propose a warm start method inspired by
Yahui Chai +4 more
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Variational Quantum Eigensolver (VQE) is widely used in near-term hardware. However, their performances remain limited by the poor trainability and are dependent on random parameter initialization. In this work, we propose a warm start method inspired by
Yahui Chai +4 more
semanticscholar +1 more source
Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way
Neural Information Processing Systems,
Ming Chen +7 more
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Local search heuristics for Quadratic Unconstrained Binary Optimization (QUBO)
Journal of Heuristics, 2007We present a family of local-search-based heuristics for Quadratic Unconstrained Binary Optimization (QUBO), all of which start with a (possibly fractional) initial point, sequentially improving its quality by rounding or switching the value of one variable, until arriving to a local optimum. The effects of various parameters on the efficiency of these
Endre Boros +2 more
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Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system
2017 International Joint Conference on Neural Networks (IJCNN), 2017The problems of Artificial intelligence (AI) naturally maps to NP-hard optimization problems. This trend has significance to achieve human-level computation capability from machines. This computational ability can be achieved by developing evolutionary algorithms or mapping those evolutionary algorithms onto new generation computing systems: Quantum or
Md Zahangir Alom +4 more
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A polynomial case of unconstrained zero-one quadratic optimization
Mathematical Programming, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Allemand, Kim +3 more
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International Conference on Systems, 2019
In this work, graph partitioning (GP) is explored using quadratic unconstrained binary optimization (QUBO) on the IBM TrueNorth spiking neuromorphic architecture. GP splits a graph into similar-sized parts while minimizing the number of cut edges between
S. Mniszewski
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In this work, graph partitioning (GP) is explored using quadratic unconstrained binary optimization (QUBO) on the IBM TrueNorth spiking neuromorphic architecture. GP splits a graph into similar-sized parts while minimizing the number of cut edges between
S. Mniszewski
semanticscholar +1 more source
Standard bi-quadratic optimization problems and unconstrained polynomial reformulations
Journal of Global Optimization, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bomze, Immanuel +3 more
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A Quadratic Unconstrained Binary Optimization Approach for Qubit Mapping
2023Logische Bitoperationen sind die Grundbausteine von Computer Software. Hierbei werden Bits manipuliert, um verschiedene Aufgaben auszuführen, beispielsweise bitweise AND-, OR-, XOR- und NOT-Operationen. Dies ist der Quantensoftware sehr ähnlich.
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Workshop on Algorithm Engineering and Experimentation, 2022
J. Charfreitag +3 more
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J. Charfreitag +3 more
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