Design and Simulation of Innovative QCA Quaternary Logic Gates

Akbari‐Hasanjani, Reza; Sabbaghi‐Nadooshan, Reza

doi:10.1002/adts.202100069

Cited by 6 publications

(41 citation statements)

References 31 publications

(63 reference statements)

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“…This section presents a QQCA cell model as a three-particle (electron) system. In this system, the electron spin value is equal to 1/2, the quantum number of an electron can be 1/2 or −1/2 [28], and the quantum states describe a three-particle system.…”

Section: Qqcamentioning

confidence: 99%

“…Following the separation of the states, the spin angular momentum in the x, y, and z directions can be calculated for each particle from Eqs. 2 to 4 [20], [28].…”

Section: Qqcamentioning

confidence: 99%

“…Based on Eqs. 5 to 7, the spin angular momentum in the x, y, and z directions can be written as follows [28]:…”

Section: Qqcamentioning

confidence: 99%

“…Using Eq. 8, the value of the Hamiltonian matrix in QQCA can be obtained as described in [28], Ĥj , as shown at the bottom of the next page. In this scheme, quantum measurements are required to calculate the polarization of the input state) from δ z (j) in the z-direction) as performed in Eq.…”

Section: Qqcamentioning

confidence: 99%

“…In this scheme, quantum measurements are required to calculate the polarization of the input state) from δ z (j) in the z-direction) as performed in Eq. 9 [20], [28].…”

Section: Qqcamentioning

confidence: 99%

See 4 more Smart Citations

Toward Quaternary QCA: Novel Majority and XOR Fuzzy Gates

2022

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As an emerging nanotechnology, quantum-dot cellular automata (QCA) has been considered an alternative to CMOS technology that suffers from problems such as leakage current. Moreover, QCA is suitable for multi-valued logic due to the simplicity of implementing fuzzy logic in a way much easier than CMOS technology. This paper uses a quaternary cell with two isolated layers because of requiring three particles to design this quaternary cell. Moreover, due to the instability of the basic gates, the three particles cannot be placed in one layer. The first layer of the proposed two-layer cell includes a ternary cell and the second one includes a binary cell. It is assumed that the overall polarization of the quaternary QCA (QQCA) cell is determined as the combined polarization of the two layers. The proposed QQCA cell can also be implemented in one layer. Simulations of the QQCA cell are performed based on analytical calculations. Moreover, a majority fuzzy gate, an XOR fuzzy gate, and a crossbar structure are simulated.

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Section: Qqcamentioning

confidence: 99%

“…Following the separation of the states, the spin angular momentum in the x, y, and z directions can be calculated for each particle from Eqs. 2 to 4 [20], [28].…”

Section: Qqcamentioning

confidence: 99%

“…Based on Eqs. 5 to 7, the spin angular momentum in the x, y, and z directions can be written as follows [28]:…”

Section: Qqcamentioning

confidence: 99%

Section: Qqcamentioning

confidence: 99%

“…In this scheme, quantum measurements are required to calculate the polarization of the input state) from δ z (j) in the z-direction) as performed in Eq. 9 [20], [28].…”

Section: Qqcamentioning

confidence: 99%

See 3 more Smart Citations

Toward Quaternary QCA: Novel Majority and XOR Fuzzy Gates

2022

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References

2024

Computing With Multi‐Value Logic in Quantum Dot Cellular Automata

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Innovation Quinary and n‐Value toward Fuzzy Logic QCA Cell Design

Akbari‐Hasanjani

Sabbaghi‐Nadooshan

2021

Advcd Theory and Sims

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Quantum Cellular automata (QCA) is a technology developed to replace complementary metal‐oxide‐semiconductor (CMOS) technology that faces increasing challenges due to the miniaturization of CMOS dimensions. The use of multi‐valued QCA is of interest because of its proximity to fuzzy logic, and lower power consumption. A two‐layer quinary system is proposed and the basic logic gates are examined and simulated to confirm the correct performance of the proposed cell. The proposed cell employs two layers because the presence of more than two particles per layer destabilizes the design of logic gates. The proposed Quinary QCA(QuQCA) cell can be implemented in one layer using input and output derives. Simple relationships are proposed to calculate the polarization values and the number and type of layers, so complex quantum computations can be avoided. The quantum power consumption and the proposed cell power consumption of the quinary system are calculated and compared. Finally, we present n‐valued cells without using quantum computation, and these cells are examined in terms of the number of particles, polarization value, and cell structure. The n‐level cell can be investigated more easily than other technologies due to its proximity to fuzzy logic and the design of the input, output, and fuzzy membership function.

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Design and Simulation of Innovative QCA Quaternary Logic Gates

Cited by 6 publications

References 31 publications

Toward Quaternary QCA: Novel Majority and XOR Fuzzy Gates

Toward Quaternary QCA: Novel Majority and XOR Fuzzy Gates

References

Innovation Quinary and n‐Value toward Fuzzy Logic QCA Cell Design

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