Results 41 to 50 of about 6,569,328 (328)
On Quantum Methods for Machine Learning Problems Part I: Quantum Tools
Big Data Mining and Analytics, 2020 This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presents the fundamentals of qubits, quantum registers, and quantum states, introduces important quantum tools based on known ...
Farid Ablayev +5 more
doaj +1 more source
Optical Realization of Wave-Based Analog Computing with Metamaterials
Applied Sciences, 2020 Recently, the study of analog optical computing raised renewed interest due to its natural advantages of parallel, high speed and low energy consumption over conventional digital counterpart, particularly in applications of big data and high-throughput ...
Kaiyang Cheng +5 more
doaj +1 more source
Quantum algorithm for Petz recovery channels and pretty good measurements [PDF]
Physical Review Letters, 2020 The Petz recovery channel plays an important role in quantum information science as an operation that approximately reverses the effect of a quantum channel.
Andr'as Gily'en +4 more
semanticscholar +1 more source
Stochastic emulation of quantum algorithms
New Journal of Physics, 2022 Quantum algorithms profit from the interference of quantum states in an exponentially large Hilbert space and the fact that unitary transformations on that Hilbert space can be broken down to universal gates that act only on one or two qubits at the same
Daniel Braun, Ronny Müller
doaj +1 more source
Quantum Weighted Fractional Fourier Transform
Mathematics, 2022 Quantum Fourier transform (QFT) is an important part of many quantum algorithms. However, there are few reports on quantum fractional Fourier transform (QFRFT).
Tieyu Zhao, Tianyu Yang, Yingying Chi
doaj +1 more source
Quantum Algorithm for High Energy Physics Simulations.
Physical Review Letters, 2021 Simulating quantum field theories is a flagship application of quantum computing. However, calculating experimentally relevant high energy scattering amplitudes entirely on a quantum computer is prohibitively difficult.
B. Nachman +3 more
semanticscholar +1 more source
Variational quantum algorithm for estimating the quantum Fisher information [PDF]
Physical Review Research, 2020 The Quantum Fisher information (QFI) quantifies the ultimate precision of estimating a parameter from a quantum state, and can be regarded as a reliability measure of a quantum system as a quantum sensor.
J. Beckey +3 more
semanticscholar +1 more source
Quantum teleportation with atoms: quantum process tomography [PDF]
, 2007 The performance of a quantum teleportation algorithm implemented on an ion trap quantum computer is investigated. First the algorithm is analyzed in terms of the teleportation fidelity of six input states evenly distributed over the Bloch sphere ...
Benhelm, J. +6 more
core +1 more source
Quantum Algorithm for Spectral Regression for Regularized Subspace Learning
IEEE Access, 2019 In this paper, we propose an efficient quantum algorithm for spectral regression which is a dimensionality reduction framework based on the regression and spectral graph analysis. The quantum algorithm involves two core subroutines: the quantum principal
Fan-Xu Meng +3 more
doaj +1 more source
Simulation of Grover's Quantum Search Algorithm in “Songshan” Supercomputer System [PDF]
Jisuanji kexueWith its superposition and entanglement properties,quantum computing has a powerful parallel computing capacity.However,current quantum computers cannot ensure stable superposition states of large-scale qubits while performing quantum operations such as ...
DU Shuaiqi, LIU Xiaonan, LIAN Demeng, LIU Zhengyu
doaj +1 more source