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The coefficients of full configuration interaction wave functions (FCI) for N-electron systems expanded in N-electron Slater determinants depend on the orthonormal one-particle basis chosen although the total energy remains invariant . Some bases result in more compact wave functions, i.e. result in fewer determinants with significant expansion coe...

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... The formulation of compact wave functions, be it exact or approximate formulations, is a central part of both quantum physics and chemistry. The guiding principles behind these formulations are often vague though attempts at stricter measures of compactness from entropy measures are currently being developed [1][2][3][4][5]. While correlation between entropy and compactness is seen for the methods investigated with the entropy measures these methods are, unlike full configuration interaction (FCI), not invariant to orbital rotations, and the result may therefore be dependent on the choice of orbitals. ...
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... It is mostly investigated nowadays for analysis of electron densities [4][5][6] and has numerous applications. It has been used in atomic avoided crossing [7], electron correlation [8], orbital free density functional theory [9], configuration interactions [10], entanglement in artificial atoms [11], etc. The negative value of Shannon entropy specifies intense localization. ...
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... Therefore, in this occasion, disequilibrium and information energy have same form. Like the previous measures, it is also utilized in orbital-free DFT [105], testing normality [136], electron correlation [110], Colin conjecture [100,101], configuration interaction [137] etc. By definition, E refers to the 2nd-order entropic moment [127]; for central 32 ...
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... where S is a subset of the Slater determinants within the given basis. The Slater determinants can be selected by seniority, such as the doubly occupied CI (DOCI) wavefunction [11][12][13][14][15][16][17][18][19][20][21][22], or by excitation-level relative to a reference Slater determinant, such as CI singles and doubles (CISD) wavefunction [23]. Alternatively, we can select all (or many) of the Slater determinants in a given set of orbitals. ...
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... Importantly, being reciprocally connected to S, E usually upholds the inferences obtained from S. Particularly, in a given space, the increase of spreading in a density distribution is quantified by an increment in S and decay in E. Both SandE are successfully employed to quantify various density-distributions produced from relevant theoretical or experimental processes. S has a connection to Colin conjecture [53,54], atomic avoided crossing [55], electron correlation effect [54], configuration interaction [56], quantum entanglement in artificial atom [57,58], bond formation [59], elementary chemical reactions [60], orbital-free DFT [61], aromaticity [62] etc. Some of these like the avoided crossing occur under a confinement condition. ...
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... Therefore, in this occasion, disequilibrium and information energy have same form. Like the previous measures, it is also utilized in orbital-free DFT [105], testing normality [136], electron correlation [110], Colin conjecture [100, 101], configuration interaction [137] etc. By definition, E refers to the 2nd-order entropic moment [127]; for central potential it assumes the form (E t is the Onicescu energy product), ...
... Here a point to note that equation (136) and equation (137) are coupled equations. The solution scheme will be presented in the context of quantum dynamics. ...
... This is exactly the similar equation to that of equation (137). Here a point to note that equation (149) and (150) are coupled differential equations. ...
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This book gathers state-of-the-art advances on harmonic oscillators including their types, functions, and applications. In Chapter 1, Neetik and Amlan have discussed the recent progresses of information theoretic tools in the context of free and confined harmonic oscillator. Confined quantum systems have provided appreciable interest in areas of physics, chemistry, biology, etc., since its inception. A particle under extreme pressure environment unfolds many fascinating, notable physical and chemical changes. The desired effect is achieved by reducing the spatial boundary from infinity to a finite region. Similarly, in the last decade, information measures were investigated extensively in diverse quantum problems, in both free and constrained situations. The most prominent amongst these are: Fisher information, Shannon entropy, Renyi entropy, Tsallis entropy, Onicescu energy and several complexities. Arguably, these are the most effective measures of uncertainty, as they do not make any reference to some specific points of a respective Hilbert space. These have been invoked to explain several physic-chemical properties of a system under investigation. Kullback Leibler divergence or relative entropy describes how a given probability distribution shifts from a reference distribution function. This characterizes a measure of discrimination between two states. In other words, it extracts the change of information in going from one state to another. In Chapter 2, Nabakumar, Subhasree, and Paulami have revisited classical-quantum correspondence in the context of linear Simple Harmonic Oscillator (SHO). According to Bohr’s correspondence principle, quantum mechanically calculated results match with the classically expected results when quantum number is very high. Classical quantum correspondence may also be visualized in the limit when the action integral is much greater than Planck’s constant. When de-Broglie wave length associated with a particle is much larger than system size, then quantum mechanical results also match with the classical results. In the context of dynamics, Ehrenfest equation of motion is used in quantum domain, which is analogous to classical Newton’s equation of motion. SHO is one of the most important systems for several reasons. It is one of the few exactly solvable problems. Any stable molecular potential can be approximated by SHO near the equilibrium point. This builds the foundation for the understanding of complex modes of vibration in large molecules, the motion of atoms in a solid lattice, the theory of heat capacity, vibration motion of nuclei in molecule etc. The authors have revisited the common solution techniques and important properties of both classical and quantum linear SHO. Then they focused on probability distribution, quantum mechanical tunneling, classical and quantum dynamics of position, momentum and their actuations, viral theorems, etc. and also analyzed how quantum mechanical results finally tend to classical results in the high quantum number limit. In Chapter 3, Neeraj has discussed the nature of atomic motions, sometimes referred to as lattice vibrations. The lattice dynamics deals with the vibrations of the atoms inside the crystals. In order to write the dynamic equations of the motion of crystal atoms, we need to describe an inter-atomic interaction. Therefore, it is natural to start the study of the lattice dynamics with the case of small harmonic vibrations. The dynamics of one-dimensional and two-dimensional vibrations of monatomic and diatomic crystals can be understood by using the simple model forces based on harmonic approximation. This harmonic approximation is related to a simple ball-spring model. According to this model, each atom is coupled with the neighboring atoms by spring constants. The collective motion of atoms leads to a distinct traveling wave over the whole crystal, leading to the collective motion, so-called phonon. The simple ball-spring model enlightens us some of the significant common features of lattice dynamics that have been discussed throughout this chapter. Further, this chapter helps in understanding the quantization energy of a harmonic oscillation and the concept of phonon.
... Recently, sparsity of the wavefunction has been the focus of significant research, drawing upon compressed sensing as well as deterministic and stochastic sampling. [16][17][18][19][20][21][22][23][24][25][26] The present work provides a novel, non-perturbative approach to the issue through constraints on the 1-RDM. With calculations on atoms and diatomics, linear hydrogen chains and conjugated π systems, we examine the accuracy of the sparse wavefunction Ansätze arising from the GPCs. ...
... Sparsity of the wavefunction has recently been explored in both deterministic and stochastic algorithms because the use of a small subset of all possible determinants has the potential to accelerate accurate electronic structure calculations significantly. [16][17][18][19][20][21][22][23][24][25][26] The approach to sparsity presented here is unique in that we employ non-trivial pure N-representability conditions of the 1-RDM (GPCs), 4,34 which generalizes the Pauli exclusion principle. Because of the energy minimization, the ground-state 2-RDM of any electronic system lies on the boundary of its N-representable set. ...
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Electron occupations that arise from pure quantum states are restricted by a stringent set of conditions that are said to generalize the Pauli exclusion principle. These generalized Pauli constraints (GPCs) define the boundary of the set of one-electron reduced density matrices (1-RDMs) that are derivable from at least one N-electron wavefunction. In this paper, we investigate the sparsity of the Slater-determinant representation of the wavefunction that is a necessary, albeit not sufficient, condition for its 1-RDM to lie on the boundary of the set of pure N-representable 1-RDMs or in other words saturate one of the GPCs. The sparse wavefunction, we show, is exact not only for 3 electrons in 6 orbitals but also for 3 electrons in 8 orbitals. For larger numbers of electrons and/or orbitals in the lowest spin state, the exact wavefunction does not generally saturate one of the GPCs, and hence, the sparse representation is typically an approximation. Because the sparsity of the wavefunction is a necessary but not sufficient condition for saturation of one of the GPCs, optimization of the sparse wavefunction Ansatz to minimize the ground-state energy does not necessarily produce a wavefunction whose 1-RDM exactly saturates one of the GPCs. While the sparse Ansatz can be employed with arbitrary orbitals or optimized orbitals, in this paper, we explore the Ansatz with the natural orbitals from full configuration interaction, which yields an upper bound to the ground-state energy that equals the exact energy for a given basis set if the full-configuration-interaction wavefunction saturates the Ansatz’s GPC. With calculations on the boron isoelectronic sequence, the dinitrogen cation N2+, hydrogen chains, and cyclic conjugated π systems, we examine the quality of the sparse wavefunction Ansatz from the amount of correlation energy recovered.
... In the case of hm equals to zero, the value of 0log2(0) is taken to 0 [27]. We calculated Shannon entropies of all subbands obtained from DWPT, and dubbed the results as discrete wavelet packet entropy (DWPE). ...
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In order to develop an efficient computer-aided diagnosis system for detecting left-sided and right-sided sensorineural hearing loss, we used artificial intelligence in this study. First, 49 subjects were enrolled by magnetic resonance imaging scans. Second, the discrete wavelet packet entropy (DWPE) was utilized to extract global texture features from brain images. Third, single-hidden layer neural network (SLNN) was used as the classifier with training algorithm of adaptive learning-rate back propagation (ALBP). The 10 times of 5-fold cross validation demonstrated our proposed method yielded an overall accuracy of 95.31%, higher than standard back propagation method with accuracy of 87.14%. Besides, our method also outperforms the “FRFT + PCA (Yang, 2016)”, “WE + DT (Kale, 2013)”, and “WE + MRF (Vasta 2016)”. In closing, our method is efficient.