Reversible logic plays a crucial role in advancing future VLSI and quantum computing, where the optimization of design parameters like quantum cost, garbage outputs, and circuit complexity is essential. This paper introduces the design and implementation of an efficient 4×4 reversible multiplier on FPGA using Peres and TSG gates. The proposed architecture results in a 31.7 % reduction in quantum cost and enhances TRLIC by up to 30.6% compared to previous designs, while also decreasing garbage outputs and constant inputs. The design has been modeled, simulated, and validated on FPGA to verify its practical viability. Findings indicate that the proposed multiplier strikes a good balance among important parameters, surpassing traditional reversible multipliers in terms of efficiency and scalability. This positions it as a promising option for incorporation into low-power VLSI circuits and quantum arithmetic systems.
Reversible logic plays a crucial role in advancing future VLSI and quantum computing, where the optimization of design parameters like quantum cost, garbage outputs, and circuit complexity is essential. This paper introduces the design and implementation of an efficient 4×4 reversible multiplier on FPGA using Peres and TSG gates. The proposed architecture results in a 31.7 % reduction in quantum cost and enhances TRLIC by up to 30.6% compared to previous designs, while also decreasing garbage outputs and constant inputs. The design has been modeled, simulated, and validated on FPGA to verify its practical viability. Findings indicate that the proposed multiplier strikes a good balance among important parameters, surpassing traditional reversible multipliers in terms of efficiency and scalability. This positions it as a promising option for incorporation into low-power VLSI circuits and quantum arithmetic systems.
This paper presents the design and implementation of a reversible 4×4 enhanced multiplier using quantum logic principles. The proposed architecture employs Toffoli and Peres gates to realize reversible AND gates and full adders, respectively, ensuring minimal energy dissipation in accordance with Landauer's principle. A layered structure is introduced to improve computation speed and modular scalability while maintaining reversibility. The design effectively reduces garbage outputs and constant inputs, which are critical performance parameters in reversible computing. Simulation results verify the functional correctness of the multiplier and demonstrate its potential for application in quantum computing, low-power VLSI design, and nanotechnology-based systems. The modular nature of the architecture also supports scalability for higher-order multipliers with minimal design overhead.
In modern Very-Large-Scale Integration (VLSI) technology, managing information loss is a critical challenge. Conventional logic gates, such as AND, OR, and NOT, are prone to data loss during operations, reducing their efficiency for sophisticated applications. Reversible logic gates, which have an equal number of inputs and outputs, offer a solution by preserving data integrity. This paper presents the design and FPGA implementation of an efficient and high-speed full adder circuit utilizing reversible logic gates, namely Feynman, Toffoli, and Peres gates. The design focuses on improving computational efficiency and thermal performance. An analysis of the circuit's quantum cost, garbage outputs, and ancillary inputs reveals its advantages over traditional designs. Proposed design has been realized using Verilog and Synthesize and simulations performed using Xilinx Vivado and Xilinx ISE tools, confirms the functionality and efficiency of the proposed full adder. FPGA implementation of the design has been done using NEXYS A7 (Artix 7 series). The results show that the circuit has a quantum cost of 10, with two garbage outputs and one ancillary input, underscoring its potential for use in low-power, high-performance computing systems and quantum computing applications.
Abstract Quantum computing has attracted increased attention in recent years owing to substantial advancements in quantum algorithms and system architecture. Quantum algorithms are implemented using quantum circuits. These circuits include an intrinsic reversibility and often have a substantial Boolean component that requires synthesis. A crucial characteristic of reversible circuits is the preservation of parity. Parity-preserving logic is a category that maintains the parity of both inputs and outputs, facilitating the detection of permanent and transient errors. Multiplier circuits are essential components in digital computing systems, playing a crucial role in the development of various hardware, including arithmetic circuits. This paper first introduces a novel block based on a transformationbased synthesis technique from the elementary quantum gates. Then it proposes a distinctive 2×2 parity-preserving reversible quantum Vedic multiplier based on the recommended block and prior gates. In addition, further designs of Vedic multipliers are provided, encompassing 4-bit, 8-bit, and 16-bit configurations. We illustrate that our design brings superior outcomes regarding quantum cost (QC), constant inputs (CI) count, CNOT-V/V + count, garbage outputs (GO) count, and gate count (GC) in comparison to earlier designs. This study achieves an average decrease of 23.09%, 37.51%, 37.51%, 54.89%, and 19.38% in QC, CI, GO, GC, and CNOT-V/V + count, respectively. Furthermore, all suggested circuits undergo appraisal and validation within the IBM quantum laboratory.
Reversible logic provides a foundation for nextgeneration computing systems, particularly in quantum and emerging nanotechnology-based architectures. Unlike conventional logic, reversible gates preserve information and support backward computation, making them crucial for designing quantum circuits. This paper introduces a reversible Arithmetic and Logic Unit (ALU) that performs eight fundamental operations-AND, OR, NOT, XOR, addition, subtraction, increment, and decrement-using Fredkin, Peres, TR, and modified Fredkin gates. A dedicated control unit manages operation selection, ensuring functional flexibility and circuit efficiency. The proposed design achieves significant improvements by minimizing ancilla inputs, quantum cost and garbage outputs, resulting in a total quantum cost of 71 and contains 16 reversible gates and 14 garbage outputs. The architecture was modeled and verified using Xilinx Vivado HLS and ISE 14.7, and implemented on the Nexys A7 (Artix-7) FPGA platform. Comparative analysis demonstrates better efficiency than existing reversible ALU designs, establishing the proposed circuit as a strong candidate for quantum computing and other advanced computing paradigms.
In the context of modern Very Large-Scale Integration (VLSI) technology, information loss has been a major concern. Logic gates (LG) such as AND, OR, and NOT have been found to result in information loss during their operations. To address this issue, reversible LGs have been created. The development and implementation of a high-speed, efficient full adder circuit employing reversible LGs like Feynman, Toffoli, and Peres gates. The design aims to improve computational and thermal efficiencies. The circuit refarding quantum costs (QC), garbage outputs, and ancillary inputs. The implemented the suggested design in Verilog and verified the entire adder's functionality and efficiency through simulations using the Xilinx Vivado and Xilinx ISE tools. The circuit has a quantum cost of 10 with two outputs of useless and one auxiliary input, according to the researchers, highlighting its opportunities for usage in quantum computing applications andlow-power (dec 84%), high-performance computing systems.
Reversible computing has emerged as a promising solution for reducing energy dissipation in digital systems by addressing the fundamental limitations caused by information loss.Quaternary reversible logic, which uses multi-valued representations, provides higher information density, reduced interconnect complexity, and better scalability when compared to conventional binary logic.This work presents the design and implementation of a quaternary reversible Arithmetic Logic Unit (ALU) that integrates essential computational modules, including arithmetic units, logical units, memory units, decoders, and multiplexers.The proposed architecture supports efficient data routing and precise operation control through a scalable control unit and a selection-line-based design approach.The designed ALU demonstrates reduced quantum cost, fewer garbage outputs, and minimized constant inputs in comparison with existing reversible ALU designs, while remaining compatible with larger reversible and quantum computing architectures.Simulation results and comparative analysis validate the improved efficiency and low-power potential of the proposed system, making it suitable for next-generation computing applications.The complete design is implemented using Verilog HDL and synthesized and simulated using Xilinx Vivado Design Suite 2025.