Artificial Intelligence and Quantum Computing for Advanced Wireless Networks. Savo G. Glisic
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7 Index
List of Tables
1 Chapter 3Table 3.1 Multi‐layer network notation.Table 3.2 Finite impulse response (FIR) multi‐layer network notation.Table 3.3 Variables, for the derivation of gradient withϕ ↔ φ...
2 Chapter 4Table 4.1 An example of the (discrete) membership functions for both antece...
3 Chapter 5Table 5.1 [1] Learning algorithm.Table 5.2 Time complexity of the most expensive instructions of the learnin...
4 Chapter 7Table 7.1 Neural network architecture parameters.
5 Chapter 8Table 8.1 Operation of aCU gate.Table 8.2 Operational of a Toffoli gate.
6 Chapter 9Table 9.1 Quantum depolarizing channels.Table 9.2 Maximum number of computational steps that can be performed witho...
7 Chapter 10Table 10.1 The syndrome table for the two‐qubit code.Table 10.2 The syndrome table for all bit‐flip errors on the three‐qubit co...Table 10.3 The syndrome table for the [[4, 2, 2]] code for all single‐qubit...Table 10.4 The syndrome table for single‐qubit X‐ and Z‐errors on the nine‐...Table 10.5 Stabilizers for the distance 3 planar qubit of Figures 10.9d and...
8 Chapter 17Table 17.1 Expected number of entanglement swaps for ring and grid network ...Table 17.2 Comparison of the number of qubits that have to be stored in a d...
List of Illustrations
1 Chapter 2Figure 2.1 If X and Y are two jointly normally distributed random variables,...Figure 2.2 The regression line for predicting Y* from X* is not the 45° line...Figure 2.3 Decision tree.Figure 2.4 Tree terminology.Figure 2.5 Data classification.Figure 2.6 Classification with outliers.Figure 2.7 Classifiers with nonlinear transformations.