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
Ding, Li, Spector, Lee
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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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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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, 2004 We present Keplerian-type parametrization for the solution of third post-Newtonian (3PN) accurate equations of motion for two non-spinning compact objects moving in an eccentric orbit.
B. F. Schutz +10 more
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Hamiltonian Formulation of Two Body Problem in Wheeler-Feynman electrodynamics [PDF]
, 1994 A Hamiltonian formulation for the classical problem of electromagnetic interaction of two charged relativistic particles is found.Comment: 22 pages, 8 Uuencoded Postscript ...
A. D. Fokker +7 more
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The Thouless theorem for matrix product states and subsequent post-density matrix renormalization group methods [PDF]
, 2013 The similarities between Hartree-Fock (HF) theory and the density-matrix renormalization group (DMRG) are explored. Both methods can be formulated as the variational optimization of a wave-function ansatz.
Chan, Garnet Kin-Lic +3 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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Supporting the search for the CEP location with nonlocal PNJL models constrained by Lattice QCD [PDF]
, 2016 We investigate the possible location of the critical endpoint in the QCD phase diagram based on nonlocal covariant PNJL models including a vector interaction channel.
Blaschke, David +2 more
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Macro-microscopic Calculation of Five-dimensional Potential Energy Surface for 234U Fission
Yuanzineng kexue jishu, 2022 A key question about the fission process of a heavy nucleus is to probe the nuclear potential energy landscape and its evolution from the single groundstate compound nucleus over the top of the fission barrier and further to the scission point, finally ...
ZHU Xin;WANG Zhiming;LUO Changkai;NI Lei;ZHONG Chunlai;FAN Tieshuan
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