Design and Implementation of Quantum-Inspired ALU: A High-Performance Approach

Abstract

This paper introduces a Quantum-Inspired Arithmetic Logic Unit (ALU) for high-performance processors, focusing on overcoming classical ALU limitations by leveraging quantum principles. The architectural design meticulously arranges quantum gates, including the Hadamard gate and CNOT gate, within the ALU framework. These gates play vital roles in quantum computation, necessitating precise placement for efficient data processing. Coherence optimization strategies, crucial for stability, ensure accurate quantum gate performance. Quantum parallelism, facilitated by coherence, enhances computational throughput. Quantum data encoding techniques like basis-state and amplitude encoding enable seamless integration of classical data for precise arithmetic and logical operations. Coherence optimization strategies within the ALU mitigate errors and decoherence, ensuring reliable quantum computations. The paper envisions the Quantum-Inspired ALU's potential applications in cryptography, optimization, and artificial intelligence, driving advancements in high-performance processors. By integrating coherence optimization strategies into the ALU design, errors and decoherence are effectively mitigated, resulting in more reliable and accurate quantum computations. These strategies are crucial for achieving the full potential of quantum-inspired computing within the ALU architecture, paving the way for advancements in high-speed computing and quantum technologies.