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T-ResiSat-QIP: A T-Cost Efficient, Decoherence- Resilient, Cascadable Quantum Saturation Adder for Quantum Image Processing

Negin Mashayekhi, Mohammad Reza Reshadinezhad, Shekoofeh Moghimi

Published Nov 4, 2025• 0 citations
Publisher

Abstract

Abstract Reversible logic has become a fundamental paradigm in modern computing, serving as the theoretical basis for quantum computation. Clifford + T gates are used because of their robustness against decoherence faults in quantum circuits. However, the use of T gates introduces implementation challenges due to their relatively high cost. In quantum image processing, saturated arithmetic is essential to ensure that results, such as the sum of two numbers, remain within a strict valid range to prevent overflow. While a few quantum saturating adders exist, this work presents the first fault-tolerant Clifford + T-based saturating generator block. Its key innovation is a constant T-depth and low quantum cost, making it both cascadable and scalable for larger adders. Simulations in the Quirk tool confirm its accuracy, and results demonstrate a 26% T-depth and 13.3% T-count improvements of the proposed addition over current methods. This design applies to NEQR-based quantum image brightness adjustment.

DOI
10.21203/rs.3.rs-7554852/v1

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Abstract Reversible logic has become a fundamental paradigm in modern computing, serving as the theoretical basis for quantum computation. Clifford + T gates are used because of their robustness against decoherence faults in quantum circuits. However, the use of T gates introduces implementation challenges due to their relatively high cost. In quantum image processing, saturated arithmetic is essential to ensure that results, such as the sum of two numbers, remain within a strict valid range to prevent overflow. While a few quantum saturating adders exist, this work presents the first fault-tolerant Clifford + T-based saturating generator block. Its key innovation is a constant T-depth and low quantum cost, making it both cascadable and scalable for larger adders. Simulations in the Quirk tool confirm its accuracy, and results demonstrate a 26% T-depth and 13.3% T-count improvements of the proposed addition over current methods. This design applies to NEQR-based quantum image brightness adjustment.
Reversible logic is becoming increasingly important with the rise of technologies like quantum computing, as it retains information during computation and maintains a one-to-one mapping between input and output patterns. Quantum circuits are inherently reversible and the best computational model in quantum computing systems. Some quantum signal processing applications like filters and image processing applications require the results of arithmetic operations to be saturated. Saturation occurs when adding two numbers with the same sign and this can be done through a quantum saturating adder. This paper proposed a reversible quantum saturating adder with efficient quantum criteria like quantum cost, number of ancilla, and number of garbage outputs. We firstly propose a reversible n-bit quantum saturation generator block which is applied to a quantum adder and construct a quantum saturating adder circuit. The proposed circuit is simulated using the Quirk online tool and the result confirms the accuracy of the design. This design achieves 18% and 33% improvement in quantum cost and garbage outputs, compared to its counterpart, respectively.
Reversible logic is essential in quantum computing due to its ability to preserve information and establish a one-to-one mapping between inputs and outputs. The Clifford+T gate set, known for supporting fault-tolerant quantum circuits, offers resilience against decoherence but introduces high implementation costs, particularly due to the T gate's resource intensity. In this work, we propose a new and efficient quantum multiplexer design, the Quantum Clifford T-MUX, designed entirely within the Clifford+T framework. This multiplexer minimizes T-count and avoids the use of ancillary qubits, both critical factors for practical, fault-tolerant quantum computing. As part of this architecture, we present a newly designed fault-tolerant Peres gate using only Clifford+T gates, which serves as a fundamental building block in the T-MUX construction. The proposed T-MUX achieves reduced T-count, no garbage output, and improved efficiency compared to traditional designs. These improvements position it as a valuable component for building scalable quantum Arithmetic Logic Units (ALUs), data buses, and memory systems. Overall, this work contributes toward the development of low-overhead, modular quantum control structures suited for near-term and long-term quantum computing architectures. The proposed circuit is simulated using the Quirk online tool, and the result confirms the accuracy of the design. This design achieves an average 35% improvement in T-Count without any constant input, compared to its counterpart, respectively.
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.
Progress in quantum hardware design is progressing toward machines of sufficient size to begin realizing quantum algorithms in disciplines such as encryption and physics. Quantum circuits for addition are crucial to realize many quantum algorithms on these machines. Ideally, quantum circuits based on fault-tolerant gates and error-correcting codes should be used as they tolerant environmental noise. However, current machines called Noisy Intermediate Scale Quantum (NISQ) machines cannot support the overhead associated with fault-tolerant design. In response, low depth circuits such as quantum carry lookahead adders (QCLA)s have caught the attention of researchers. The risk for noise errors and decoherence increase as the number of gate layers (or depth) in the circuit increases. This work presents an out-of-place QCLA based on Clifford+T gates. The QCLAs optimized for T gate count and make use of a novel uncomputation gate to save T gates. We base our QCLAs on Clifford+T gates because they can eventually be made fault-tolerant with error-correcting codes once quantum hardware that can support fault-tolerant designs becomes available. We focus on T gate cost as the T gate is significantly more costly to make fault-tolerant than the other Clifford+T gates. The proposed QCLAs are compared and shown to be superior to existing works in terms of T-count and therefore the total number of quantum gates. Finally, we illustrate the application of the proposed QCLAs in quantum image processing by presenting quantum circuits for bilinear interpolation.
Progress in quantum hardware design is progressing toward machines of sufficient size to begin realizing quantum algorithms in disciplines such as encryption and physics. Quantum circuits for addition are crucial to realize many quantum algorithms on these machines. Ideally, quantum circuits based on fault-tolerant gates and error-correcting codes should be used as they tolerant environmental noise. However, current machines called Noisy Intermediate Scale Quantum (NISQ) machines cannot support the overhead associated with faulttolerant design. In response, low depth circuits such as quantum carry lookahead adders (QCLA)s have caught the attention of researchers. The risk for noise errors and decoherence increase as the number of gate layers (or depth) in the circuit increases. This work presents an out-of-place QCLA based on Clifford+T gates. The QCLAs optimized for T gate count and make use of a novel uncomputation gate to save T gates. We base our QCLAs on Clifford+T gates because they can eventually be made faulttolerant with error-correcting codes once quantum hardware that can support fault-tolerant designs becomes available. We focus on T gate cost as the T gate is significantly more costly to make faulttolerant than the other Clifford+T gates. The proposed QCLAs are compared and shown to be superior to existing works in terms of T-count and therefore the total number of quantum gates. Finally, we illustrate the application of the proposed QCLAs in quantum image processing by presenting quantum circuits for bilinear interpolation.
Quantum computing has the potential to transform modern computation by offering exponential advantages in areas such as cryptography, optimization, and intelligent data processing. To effectively realize these advantages, particularly in fault-tolerant and Noisy Intermediate-Scale Quantum (NISQ) environments, quantum circuits must be both resource-efficient and error-resilient. This paper presents a novel Binary-Coded Decimal (BCD) to Excess-3 code converter designed exclusively using the Clifford+T gate set, which is widely supported by fault-tolerant quantum hardware. The proposed design eliminates conventional 4-bit reversible adder-based implementations and instead employs an optimized logic structure based on Clifford+T-decomposed Peres gates. By leveraging Temporary Logical-AND gates and CNOT operations, the circuit achieves reduced T-count, circuit depth, and quantum cost as key metrics in fault-tolerant quantum computation. Functional correctness is verified through IBM Qiskit, Version 2.1 simulations for all valid BCD inputs. The proposed converter serves as a scalable and hardware-compatible arithmetic building block for resource-aware and AI-oriented quantum architectures.