Power analysis dataset for QCA based multiplexer circuits.

Power consumption in irreversible QCA logic circuits is a vital and a major issue; however in the practical cases, this focus is mostly omitted.The complete power depletion dataset of different QCA multiplexers have been worked out in this paper. At -271.15 °C temperature, the depletion is evaluated under three separate tunneling energy levels. All the circuits are designed with QCADesigner, a broadly used simulation engine and QCAPro tool has been applied for estimating the power dissipation.

Specifications Table

Value of the data

Computer memories, communication systems and other circuit structures can be utilized for computational analysis using this study in terms of power consumption.

The presented data analysis can support the researchers to examine the energy analysis of complex network systems.

It can be utilized to estimate polarization error and non adiabatic switching power loss in QCA reversible designs.

Data

In this paper, power dissipation analysis of different multiplexer circuits presented in [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], have been investigated in Table 1 at three different tunneling energy levels like and The energy dissipation map which includes leakage power dissipation, switching power dissipation and average power dissipation of various QCA multiplexers have been shown in Fig. 1.

Table 1

Energy dissipation analysis of multiplexers at three different tunneling energy levels.

Circuit	Leakage energy dissipation (meV)			Switching energy dissipation (meV)			Total energy dissipation (meV)
	0.5 Ek	1.0 Ek	1.5 Ek	0.5 Ek	1.0 Ek	1.5 Ek	0.5 Ek	1.0 Ek	1.5 Ek
Multiplexer[1]	12.4	39.16	71.13	66.98	58.57	50.28	79.38	97.73	121.41
Multiplexer [2]	19.35	60.43	108.67	97.45	83.57	70.55	116.8	144	179.22
Multiplexer [3]	20.38	64.9	118.49	122.17	107.15	92.02	142.55	172.05	210.51
Multiplexer[4]	8.53	27.57	50.43	41.63	36.39	31.22	50.16	63.96	81.65
Multiplexer [5]	7.16	20.53	35.68	25.43	21.7	18.29	32.59	42.23	53.97
Multiplexer [6]	6.72	21.58	39.4	26.25	22.93	19.64	32.97	44.51	59.04
Multiplexer [7]	6.79	21.16	38.27	35.22	30.37	25.85	42.01	51.53	64.12
Multiplexer [8]	10.69	31.68	55.42	38.06	31.87	26.49	48.75	63.55	81.91
Multiplexer [9]	4.54	13.88	24.63	11.41	9.77	8.19	15.95	23.65	32.82
Multiplexer [10]	5.5	17.38	31.17	26.83	22.66	18.91	32.33	40.04	50.08

Fig. 1

The power dissipation maps of multiplexer in (a) Ref. [1] (b) Ref. [2] (c) Ref. [3] (d) Ref. [4] (e) Ref. [5] (f) Ref. [6] (g) Ref. [7] (h) Ref. [8] (i) Ref. [9] and (j) Ref. [10] at 2 K temperature with 0.5 Ek tunneling energy level.

Experimental design, materials and methods

Analysis of power dissipation

For estimating the power dissipation of reported multiplexers [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] QCAPro; a power analyzing tools for QCA design has been applied. This tool estimate polarization error and non-adiabatic switching power loss in Quantum-dot Cellular Automata (QCA) circuits. It uses a fast approximation based technique to estimate highly erroneous cells in QCA circuit design. In our study, power estimation of all the multiplexers has been achieved at a stable temperature T= −271.15 °C. The power dissipation by a QCA cell is calculated using the Hartree–Fock mean-field approach approximation which is illustrated as [11], [12], [13], [14], [15]

According to the upper bound power dissipation model [14] the power dissipation by a QCA cell is given as

Subject area	Electronics
More specific subject area	Nano-electronics
Type of data	Table, figure
How data was acquired	QCADesigner and Hamming distance process have been applied to attain the data set
Data format	Analyzed
Data accessibility	Data is within this article