Results 21 to 30 of about 260,825 (178)
Quantum Relief algorithm [PDF]
Quantum Information Processing, 2018 Relief algorithm is a feature selection algorithm used in binary classification proposed by Kira and Rendell, and its computational complexity remarkable increases with both the scale of samples and the number of features. In order to reduce the complexity, a quantum feature selection algorithm based on Relief algorithm, also called quantum Relief ...
Wen-Jie Liu +4 more
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Quantum prediction algorithms [PDF]
Physical Review A, 1997 53 pages, RevTeX with ...
Kent, Adrian, McElwaine, Jim
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Quantum defragmentation algorithm [PDF]
Physical Review A, 2010 In this addendum of our paper [D. Burgarth and V. Giovannetti, Phys. Rev. Lett. 99, 100501 (2007)] we prove that during the transformation that allows one to enforce control by relaxation on a quantum system, the ancillary memory can be kept at a finite size, independently from the fidelity one wants to achieve.
BURGARTH D, GIOVANNETTI, VITTORIO
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High-precision quantum algorithms for partial differential equations [PDF]
Quantum, 2021 Quantum computers can produce a quantum encoding of the solution of a system of differential equations exponentially faster than a classical algorithm can produce an explicit description.
Andrew M. Childs +2 more
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Quantum Algorithms for Estimating Quantum Entropies
Physical Review Applied, 2023 36 pages, 8 ...
Youle Wang, Benchi Zhao, Xin Wang
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AppliedMath, 2022 Shor’s algorithm for prime factorization is a hybrid algorithm consisting of a quantum part and a classical part. The main focus of the classical part is a continued fraction analysis.
Johanna Barzen, Frank Leymann
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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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Multipartite entanglement in quantum algorithms [PDF]
, 2010 We investigate the entanglement features of the quantum states employed in quantum algorithms. In particular, we analyse the multipartite entanglement properties in the Deutsch-Jozsa, Grover and Simon algorithms.
Bruß, D., Macchiavello, C.
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Machine learning framework to segment sarcomeric structures in SMLM data
Scientific Reports, 2023 Object detection is an image analysis task with a wide range of applications, which is difficult to accomplish with traditional programming. Recent breakthroughs in machine learning have made significant progress in this area.
Dániel Varga +6 more
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Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm
Algorithms, 2022 The quantum approximate optimization algorithm/quantum alternating operator ansatz (QAOA) is a heuristic to find approximate solutions of combinatorial optimization problems.
Franz Georg Fuchs +4 more
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