Table 8 Analysis of PQS-FP system of increasing Q layer in proposed VQInceptionResNetv2_Ql.

From: Variational quantum enhanced deep transfer learning for small underwater aqua species image classification

Q layers

Params P

Val Loss

Val Acc

g = Train-Val

X = P−O

Y = g−g0

PQS-FP Quadrant

3

16,289

0.23

0.889

− 0.0034

− 16

0.0399

UER (underfitting exacerbation)

5

16,305

0.14

0.956

− 0.0433

0

0

On optimum (reference)

7

16,320

0.19

0.9468

0.0181

15

0.0614

OER (overfitting exacerbation)

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