Noise-aware Reversible PLA Design with Added Feature of Testability, and Simulation with Quantum Computer for Energy Sustainability Applications

A new generation of high-performance computing systems is enabled by quantum technology, which offers unprecedented processing speed and energy efficiency. This manuscript investigates the implementation of Reversible Programmable Logic Arrays (RPLAs) on real quantum platforms, emphasising testability and noise resilience as primary design objectives. We present a novel low-cost RPLA architecture capable of realising multi-output Exclusive Sum-of-Products (ESOP) functions. An algorithm is used to sort and optimise the ESOP product terms, reducing design complexity while supporting energy-efficient computation through reversible logic. The proposed RPLA demonstrates substantial improvements in key quantum primitives and includes enhanced testability features along with an extensive noise analysis performed on Qiskit quantum computing. The noise evaluation incorporates widely used quantum error models, including bit-flip, amplitude damping, depolarising, and phase damping, to assess the robustness of the design under realistic operating conditions. Furthermore, a Quantum Equivalent Circuit (QEC) is developed, and a comprehensive testability analysis is conducted using the IBM Quantum Experience (IBM-QE), covering Single Gate Missing (SGM) and Single Control-Point Missing (SCP) faults to ensure robust fault detection. Experimental results obtained from IBM-QE indicate that the proposed RPLA achieves improvements of 34.43% in Gate Count (GT), 54.70% in Garbage Outputs (Gar), and 36.72% in Quantum Cost (QC) compared to existing methods. These enhancements highlight the potential of the proposed architecture for practical, sustainable, and energy-efficient quantum computing applications.

Authors

Publication Details

Journal
Journal of Circuits Systems and Computers
Published
2026-05-22
DOI
https://doi.org/10.1142/s0218126626502312
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Noise-aware Reversible PLA Design with Added Feature of Testability, and Simulation with Quantum Computer for Energy Sustainability Applications

Neeraj Kumar Misra, P. Balakrishna
Journal of Circuits Systems and Computers
Quantum Computing Algorithms and Architecture
article

Noise-aware Reversible PLA Design with Added Feature of Testability, and Simulation with Quantum Computer for Energy Sustainability Applications

Neeraj Kumar Misra, P. Balakrishna
article en

Abstract

A new generation of high-performance computing systems is enabled by quantum technology, which offers unprecedented processing speed and energy efficiency. This manuscript investigates the implementation of Reversible Programmable Logic Arrays (RPLAs) on real quantum platforms, emphasising testability and noise resilience as primary design objectives. We present a novel low-cost RPLA architecture capable of realising multi-output Exclusive Sum-of-Products (ESOP) functions. An algorithm is used to sort and optimise the ESOP product terms, reducing design complexity while supporting energy-efficient computation through reversible logic. The proposed RPLA demonstrates substantial improvements in key quantum primitives and includes enhanced testability features along with an extensive noise analysis performed on Qiskit quantum computing. The noise evaluation incorporates widely used quantum error models, including bit-flip, amplitude damping, depolarising, and phase damping, to assess the robustness of the design under realistic operating conditions. Furthermore, a Quantum Equivalent Circuit (QEC) is developed, and a comprehensive testability analysis is conducted using the IBM Quantum Experience (IBM-QE), covering Single Gate Missing (SGM) and Single Control-Point Missing (SCP) faults to ensure robust fault detection. Experimental results obtained from IBM-QE indicate that the proposed RPLA achieves improvements of 34.43% in Gate Count (GT), 54.70% in Garbage Outputs (Gar), and 36.72% in Quantum Cost (QC) compared to existing methods. These enhancements highlight the potential of the proposed architecture for practical, sustainable, and energy-efficient quantum computing applications.

Journal of Circuits Systems and Computers
Openalex Percentile: Top 4%
Quantum Computing Algorithms and Architecture
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