Results 81 to 90 of about 6,488,304 (373)
Speed improvement of the quantum factorization algorithm of P. Shor by upgrade its classical part [PDF]
E3S Web of Conferences, 2020 This report discusses Shor’s quantum factorization algorithm and ρ–Pollard’s factorization algorithm. Shor’s quantum factorization algorithm consists of classical and quantum parts.
Cherckesova Larissa +5 more
doaj +1 more source
Quantum image classification using principal component analysis
, 2015 We present a novel quantum algorithm for classification of images. The algorithm is constructed using principal component analysis and von Neuman quantum measurements.
Gawron, Piotr +2 more
core +1 more source
Superlinear advantage for exact quantum algorithms [PDF]
, 2013 A quantum algorithm is exact if, on any input data, it outputs the correct answer with certainty (probability 1). A key question is: how big is the advantage of exact quantum algorithms over their classical counterparts: deterministic algorithms.
Ambainis, Andris
core +1 more source
Resource-efficient quantum algorithm for protein folding [PDF]
npj Quantum Information, 2019 Predicting the three-dimensional structure of a protein from its primary sequence of amino acids is known as the protein folding problem. Due to the central role of proteins’ structures in chemistry, biology and medicine applications, this subject has ...
A. Robert +3 more
semanticscholar +1 more source
Quantum Algorithms for Quantum Chemistry and Quantum Materials Science [PDF]
Chemical Reviews, 2020 33 pages, 21 ...
Bela Bauer +3 more
openaire +7 more sources
Direct Characterization of Quantum Dynamics
, 2007 The characterization of quantum dynamics is a fundamental and central task in quantum mechanics. This task is typically addressed by quantum process tomography (QPT).
D. A. Lidar, M. Mohseni, M. A. Nielsen
core +1 more source
Quantum algorithm for the Vlasov equation [PDF]
Physical Review A, 2019 The Vlasov-Maxwell system of equations, which describes classical plasma physics, is extremely challenging to solve, even by numerical simulation on powerful computers. By linearizing and assuming a Maxwellian background distribution function, we convert
A. Engel, Graeme Smith, S. Parker
semanticscholar +1 more source
Improving quantum algorithms for quantum chemistry [PDF]
Quantum Information and Computation, 2015 We present several improvements to the standard Trotter-Suzuki based algorithms used in the simulation of quantum chemistry on a quantum computer. First, we modify how Jordan-Wigner transformations are implemented to reduce their cost from linear or logarithmic in the number of orbitals to a constant.
Dave Wecker +3 more
openaire +3 more sources
Multiscale quantum algorithms for quantum chemistry
Chemical Science, 2023 We propose a multiscale quantum computing framework suitable for efficient simulations of complex chemical systems on near-term quantum devices.
Huan Ma +5 more
openaire +2 more sources
Quantum expectation-maximization algorithm [PDF]
Physical Review A, 2020 10 pages, 9 ...
Miyahara, Hideyuki +2 more
openaire +3 more sources