Reduction in dimensions of CMOS technology has resulted in great increase in computing speeds but, at the same time, higher power consumption. Thus, a serious limitation arises since conventional approaches will eventually hit the physical limit [1], [2]. Reversible computing seems promising in the context of VLSI. In theory, it could operate without any energy loss due to lossless information processing [3], [4]. The paper presents development and implementation of a reversible Arithmetic Logic Unit (ALU) based on quantum logic gates working with qubits. The architecture is based on Fredkin gates (quantum cost 5) and CNOT gates (quantum cost 1), both preserving parity and being inherently reversible. The ALU can execute all arithmetic and logical operations and reconfigure operations dynamically according to system requirements. Also, the designed ALU possesses an inherent parity-preserving fault detection mechanism for reliable identification of single-bit faults. Overall the implemented ALU contains 9 CNOT and 7 Fredkin gates resulting in quantum cost equal to 44 and 12 garbage outputs. Thus, the quantum cost and garbage outputs are significantly lower than usual ones for the design of a reversible ALU, which generally amount to 48–65 and 16–20 correspondingly. The designed architecture is described in details through the application of Verilog HDL and simulation in Xilinx Vivado toolset. The work concentrates on optimization of such important parameters as the number of gates, quantum cost, garbage outputs, and constant inputs. Those design parameters are critical in order to develop scalable and sustainable quantum and low-power VLSI architectures.
Reduction in dimensions of CMOS technology has resulted in great increase in computing speeds but, at the same time, higher power consumption. Thus, a serious limitation arises since conventional approaches will eventually hit the physical limit [1], [2]. Reversible computing seems promising in the context of VLSI. In theory, it could operate without any energy loss due to lossless information processing [3], [4]. The paper presents development and implementation of a reversible Arithmetic Logic Unit (ALU) based on quantum logic gates working with qubits. The architecture is based on Fredkin gates (quantum cost 5) and CNOT gates (quantum cost 1), both preserving parity and being inherently reversible. The ALU can execute all arithmetic and logical operations and reconfigure operations dynamically according to system requirements. Also, the designed ALU possesses an inherent parity-preserving fault detection mechanism for reliable identification of single-bit faults. Overall the implemented ALU contains 9 CNOT and 7 Fredkin gates resulting in quantum cost equal to 44 and 12 garbage outputs. Thus, the quantum cost and garbage outputs are significantly lower than usual ones for the design of a reversible ALU, which generally amount to 48–65 and 16–20 correspondingly. The designed architecture is described in details through the application of Verilog HDL and simulation in Xilinx Vivado toolset. The work concentrates on optimization of such important parameters as the number of gates, quantum cost, garbage outputs, and constant inputs. Those design parameters are critical in order to develop scalable and sustainable quantum and low-power VLSI architectures.
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.
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.
To meet expectations of the futuristic technologies, thrust is on fast communication, low power, high computational speeds with delay intolerance. VLSI technology is laboring to meet the demands by incorporating low-power solutions to improve performance. Component size has come to Nano scales however, it has challenges of managing heat dissipation and physical limitations in fabrication. Reversible logic technology has gained momentum in research due to its prominence in Quantum computing and zero power dissipation. The arithmetic and Logic Unit is the significant component of any computing architecture, carrying out operations rigorously while consuming power for the endurance of performance. The proposed approach of designing the fault-tolerant Arithmetic and Logical Unit (ALU) in reversible logic for future computers. Analysis of the proposed design to existing designs is on the quantum cost (QC), garbage output (GO), ancilla input (AI), gate utilization (GC) and number of operations achieved. Improvements observed is at an average of 70% in AI and GC, 59% in QC , 53% in GO and operations are up by 33% to cater to the least power consumption applications.
Reversible logic is characterized by its feature of being a prominent application in low-power conventional computers and the most compatible logic in quantum computers. Quantum circuits executes quantum algorithms and are important in a new generation of advanced computing. However, they are highly error-prone and also subject to the use of limited and sensitive physical resources like qubits and quantum gates. This paper introduces a comprehensive fault tolerant quantum-based reversible circuit which can calculate a high variety number of arithmetic and logic operations. It uses both: parity preserving method for detecting one or an odd number of bit errors, and Clifford + T implementation for protecting circuits against decoherence faults. First, we propose a new fault-tolerant (parity preserving and Clifford + T) adder/subtractor and derive a quantum reversible Arithmetic and Logic Unit (ALU). These modules reach the most optimized extent of circuit line, ancilla inputs, and garbage outputs according to the logical analysis done in this work. This article focuses on reducing T-cost metrics in conjunction with enhancing the number of operations and quantum costs in proposed circuits compared to other counterparts. We propose 4-bit fault tolerant ALU derived from our proposed single-bit module to show the proposed circuit can be extended to any larger size. The proposed circuit is implemented in the Qiskit simulation tool, and output results confirm the accuracy of our design functionality. The proposed full adder/ subtractor achieves an average of 64% and 43%, and the proposed ALU circuit achieves an average of 38% and 27% improvement in T-count and T-depth, respectively compared to their counterparts. The proposed reversible quantum-optimized fault tolerant adder/subtractor and ALU units can be applied as the basic part of DSP systems and quantum processor units in quantum computing devices.
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.
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.