Reversible logic circuits have received significant attention in quantum computing, low power CMOS design, optical information processing, DNA computing, bioinformatics, and nanotechnology. This paper presents two new 4 × 4 bit reversible multiplier designs which have lower hardware complexity, less garbage bits, less quantum cost and less constant inputs than previous ones, and can be generalized to construct efficient reversible n × n bit multipliers. An implementation of reversible HNG is also presented. This implementation shows that the full adder design using HNG is one of the best designs in term of quantum cost. An implementation of MKG is also presented in order to have a fair comparison between our proposed reversible multiplier designs and the existing counterparts. The proposed reversible multipliers are optimized in terms of quantum cost, number of constant inputs, number of garbage outputs and hardware complexity. They can be used to construct more complex systems in nanotechnology.Reversible logic circuits have received significant attention in quantum computing, low power CMOS design, optical information processing, DNA computing, bioinformatics, and nanotechnology. This paper presents two new 4 × 4 bit reversible multiplier designs which have lower hardware complexity, less garbage bits, less quantum cost and less constant inputs than previous ones, and can be generalized to construct efficient reversible n × n bit multipliers. An implementation of reversible HNG is also presented. This implementation shows that the full adder design using HNG is one of the best designs in term of quantum cost. An implementation of MKG is also presented in order to have a fair comparison between our proposed reversible multiplier designs and the existing counterparts. The proposed reversible multipliers are optimized in terms of quantum cost, number of constant inputs, number of garbage outputs and hardware complexity. They can be used to construct more complex systems in nanotechnology.

Journal of Circuits Systems and ComputersApr 1, 2009106 citations

A Review on Reversible Logic Gates and their Implementation

Raghava Garipelly, P. Madhu Kiran, A. Santhosh Kumar

Abstract — Reversible logic is one of the most vital issue at present time and it has different areas for its application, those are low power CMOS, quantum computing, nanotechnology, cryptography, optical computing, DNA computing, digital signal processing (DSP), quantum dot cellular automata, communication, computer graphics. It is not possible to realize quantum computing without implementation of reversible logic. The main purposes of designing reversible logic are to decrease quantum cost, depth of the circuits and the number of garbage outputs. This paper provides the basic reversible logic gates, which in designing of more complex system having reversible circuits as a primitive component and which can execute more complicated operations using quantum computers. The reversible circuits form the basic building block of quantum computers as all quantum operations are reversible. This paper presents the data relating to the primitive reversible gates which are available in literature and helps researches in designing higher complex computing circuits using reversible gates.Abstract — Reversible logic is one of the most vital issue at present time and it has different areas for its application, those are low power CMOS, quantum computing, nanotechnology, cryptography, optical computing, DNA computing, digital signal processing (DSP), quantum dot cellular automata, communication, computer graphics. It is not possible to realize quantum computing without implementation of reversible logic. The main purposes of designing reversible logic are to decrease quantum cost, depth of the circuits and the number of garbage outputs. This paper provides the basic reversible logic gates, which in designing of more complex system having reversible circuits as a primitive component and which can execute more complicated operations using quantum computers. The reversible circuits form the basic building block of quantum computers as all quantum operations are reversible. This paper presents the data relating to the primitive reversible gates which are available in literature and helps researches in designing higher complex computing circuits using reversible gates.

Jan 29, 201466 citations

Reversible and Quantum Circuits

Michael D. Miller, Mitchell Aaron Thornton

Synthesis lectures on digital circuits and systemsJan 1, 20081 citation

On the gate complexity of reversible circuits consisting of NOT, CNOT and 2-CNOT gates

Dmitry Vladimirovich Zakablukov

Abstract The paper is concerned with the problem of complexity of reversible circuits consisting of NOT, CNOT and 2-CNOT gates. For a reversible circuit implementing a map f : Z 2 n → Z 2 n $f: \mathbb Z_2^n\, \to\, \mathbb Z_2^n$ we define the Shannon complexity function L ( n , q ) as a function of n and the number q of additional inputs in the circuit. We prove the lower estimate L ( n , q ) ⩾ 2 n ( n − 2 ) 3 log 2 ⁡ ( n + q ) − n 3 $L(n,q)\, \geqslant\, \displaystyle\frac{2^n(n-2)}{3\log_2(n+q)} - \frac{n}{3}$ for the complexity of a reversible circuit and derive the upper estimate L ( n , 0) ⩽ 48 n 2 n (1 + o (1)) / log 2 n if there are no additional inputs. The asymptotic upper estimate for the complexity is shown to be L ( n , q 0 ) ≲ 2 n with q 0 ∽ n 2 n − o ( n ) additional inputs.Abstract The paper is concerned with the problem of complexity of reversible circuits consisting of NOT, CNOT and 2-CNOT gates. For a reversible circuit implementing a map f : Z 2 n → Z 2 n $f: \mathbb Z_2^n\, \to\, \mathbb Z_2^n$ we define the Shannon complexity function L ( n , q ) as a function of n and the number q of additional inputs in the circuit. We prove the lower estimate L ( n , q ) ⩾ 2 n ( n − 2 ) 3 log 2 ⁡ ( n + q ) − n 3 $L(n,q)\, \geqslant\, \displaystyle\frac{2^n(n-2)}{3\log_2(n+q)} - \frac{n}{3}$ for the complexity of a reversible circuit and derive the upper estimate L ( n , 0) ⩽ 48 n 2 n (1 + o (1)) / log 2 n if there are no additional inputs. The asymptotic upper estimate for the complexity is shown to be L ( n , q 0 ) ≲ 2 n with q 0 ∽ n 2 n − o ( n ) additional inputs.

arXiv:1412.2662Discrete Mathematics and ApplicationsFeb 1, 20176 citations

Reversible and Quantum Circuits

Nabila Abdessaied, Rolf Drechsler

Springer eBooksJan 1, 201622 citations

Abstract The paper is concerned with the problem of complexity of reversible circuits consisting of NOT, CNOT and 2-CNOT gates. For a reversible circuit implementing a map f : Z 2 n → Z 2 n

f: \mathbb Z_2^n\, \to\, \mathbb Z_2^n

we define the Shannon complexity function L ( n , q ) as a function of n and the number q of additional inputs in the circuit. We prove the lower estimate L ( n , q ) ⩾ 2 n ( n − 2 ) 3 log 2 ⁡ ( n + q ) − n 3

L(n,q)\, \geqslant\, \displaystyle\frac{2^n(n-2)}{3\log_2(n+q)} - \frac{n}{3}

for the complexity of a reversible circuit and derive the upper estimate L ( n , 0) ⩽ 48 n 2 n (1 + o (1)) / log 2 n if there are no additional inputs. The asymptotic upper estimate for the complexity is shown to be L ( n , q 0 ) ≲ 2 n with q 0 ∽ n 2 n − o ( n ) additional inputs.