Results 31 to 40 of about 5,032 (199)
Evolutionary quantum architecture search for parametrized quantum circuits
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022 Recent advancements in quantum computing have shown promising computational advantages in many problem areas. As one of those areas with increasing attention, hybrid quantum-classical machine learning systems have demonstrated the capability to solve various data-driven learning tasks. Recent works show that parameterized quantum circuits (PQCs) can be
Li Ding 0010, Lee Spector
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Parametrically enhanced hidden photon search
Physical Review D, 2014 21 pages, 4 ...
Graham, Peter W. +3 more
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Optimal H2 Moment Matching-Based Model Reduction for Linear Systems through (Non)convex Optimization
Mathematics, 2022 In this paper, we compute a (local) optimal reduced order model that matches a prescribed set of moments of a stable linear time-invariant system of high dimension. We fix the interpolation points and parametrize the models achieving moment-matching in a
Ion Necoara, Tudor-Corneliu Ionescu
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Cole's Parametric Search Technique Made Practical [PDF]
CoRR, 2013 Parametric search has been widely used in geometric algorithms. Cole's improvement provides a way of saving a logarithmic factor in the running time over what is achievable using the standard method. Unfortunately, this improvement comes at the expense of making an already complicated algorithm even more complex; hence, this technique has been mostly ...
Michael T. Goodrich, Pawel Pszona
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SINUSOIDAL SIGNAL PARAMETERS IDENTIFICATION WITH UNKNOWN VARIABLE AMPLITUDE [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2018 The paper considers the problem of the frequency identification for a biased sinusoidal signal in the absence of measurement noise. It is assumed that the displacement and amplitude of the sinusoidal signal are unknown functions of time.
Le Van Tuan, Bobtsov A. A.
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Parametrization for 2-D SH full waveform inversion
, 2014 With single-parameter full waveform inversion, estimating the inverse of the Hessian matrix will accelerate the convergence, but is computationally expensive. Therefore, an approximate Hessian, which is easier to compute, is often used. Similarly, in the
Drijkoningen, G.G. (author) +8 more
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Calibration of parameters in Dynamic Energy Budget models using Direct-Search methods [PDF]
, 2019 Dynamic Energy Budget (DEB) theory aims to capture the quantitative aspects of metabolism at the individual level, for all species. The parametrization of a DEB model is based on information obtained through the observation of natural populations and ...
Morais, J. V. +2 more
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Bounds on heavy Majorana neutrinos in type-I seesaw and implications for collider searches
Physics Letters B, 2017 The neutrino masses and flavor mixings, which are missing in the Standard Model (SM), can be naturally incorporated in the type-I seesaw extension of the SM with heavy Majorana neutrinos being singlet under the SM gauge group.
Arindam Das, Nobuchika Okada
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Optimizing Variational Quantum Algorithms Using Pontryagin’s Minimum Principle
Physical Review X, 2017 We use Pontryagin’s minimum principle to optimize variational quantum algorithms. We show that for a fixed computation time, the optimal evolution has a bang-bang (square pulse) form, both for closed and open quantum systems with Markovian decoherence ...
Zhi-Cheng Yang +4 more
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, 2023 This paper studies the role of over-parametrization in solving non-convex optimization problems. The focus is on the important class of low-rank matrix sensing, where we propose an infinite hierarchy of non-convex problems via the lifting technique and ...
Sojoudi, Somayeh +3 more
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