Results 11 to 20 of about 2,637,115 (207)
Grand Unification of Quantum Algorithms
PRX Quantum, 2021 Quantum algorithms offer significant speed-ups over their classical counterparts for a variety of problems. The strongest arguments for this advantage are borne by algorithms for quantum search, quantum phase estimation, and Hamiltonian simulation, which
John M. Martyn +3 more
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Towards Quantum Control with Advanced Quantum Computing: A Perspective [PDF]
Entropy, 2022 We propose the combination of digital quantum simulation and variational quantum algorithms as an alternative approach to numerical methods for solving quantum control problems. As a hybrid quantum–classical framework, it provides an efficient simulation
Yongcheng Ding, Yue Ban, Xi Chen
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Quantum Genetic Algorithms for Computer Scientists
Computers, 2016 Genetic algorithms (GAs) are a class of evolutionary algorithms inspired by Darwinian natural selection. They are popular heuristic optimisation methods based on simulated genetic mechanisms, i.e., mutation, crossover, etc.
Rafael Lahoz-Beltra
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Simulating the quantum Fourier transform, Grover's algorithm, and the quantum counting algorithm with limited entanglement using tensor networks [PDF]
Physical Review ResearchQuantum algorithms reformulate computational problems as quantum evolutions in a large Hilbert space. Most quantum algorithms assume that the time evolution is perfectly unitary and that the full Hilbert space is available.
Marcel Niedermeier +2 more
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Power Network Optimization: A Quantum Approach
IEEE Access, 2023 Optimization of electricity surplus is a crucial element for transmission power networks since it leads to reducing costs as well as increasing efficiency across the network as a whole.
Giuseppe Colucci +2 more
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Progress towards Analytically Optimal Angles in Quantum Approximate Optimisation
Mathematics, 2022 The quantum approximate optimisation algorithm is a p layer, time variable split operator method executed on a quantum processor and driven to convergence by classical outer-loop optimisation.
Daniil Rabinovich +4 more
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A Quantum Processing Framework for Quantum Algorithms
Majlesi Journal of Electrical EngineeringThe focus of this study is on developing a framework for a Quantum Algorithm Processing Unit (QAPU) with the hybrid architecture for classical-quantum algorithms. The framework is used to increase the implementation performance of quantum algorithms and
Mohammad Reza Soltan Aghaei +1 more
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Implementing quantum algorithms using classical electrical circuits: Deutsch, Deutsch-Jozsa and Grover [PDF]
, 2011 We develop the means to implement Deutsch's algorithm, the Deutsch-Jozsa algorithm and Grover's algorithm using electronic circuits, and review previous attempts to implement quantum algorithms classically.
Dyson, Charles
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Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States [PDF]
, 2022 Coherent states, known as displaced vacuum states, play an important role in quantum information processing, quantum machine learning, and quantum optics.
Eneko Osaba +12 more
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Nature Communications, 2023 Quantum algorithms for simulating electronic ground states are slower than popular classical mean-field algorithms such as Hartree–Fock and density functional theory but offer higher accuracy.
Ryan Babbush +8 more
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