Architecture for Quantum Random Access Memory {Q-RAM} Presented By Presented To 1
CONTENTS of THIS PRESENTATION 01 04 02 05 03 06 Q-RAM Fanout & Bucket Btigade Architecture Bucket Brigade Architecture & its Advantages Applications of q-RAM & usage in real World Future of qRam Tech CONCLUSIONS 2
Intruduction to qRam Quantum Random Access Memory (qRAM) represents a pivotal advancement in quantum computing. This presentation explores various architectures, innovations, and their implications on future computational capabilities. Understanding qRAM is crucial for leveraging the full potential of quantum technologies. 3
Concept of Bucket brigade Architecture Requires O(2^n) logic gates, indicating high complexity. Can deactivate O(n) gates during calls, improving efficiency. Ideal for smaller scale applications with limited input size. May lead to increased latency due to the high gate requirement. Limited scalability for larger quantum systems. Effective in scenarios where gate deactivation is beneficial. Potentially higher energy consumption compared to alternatives. Complexity increases significantly with larger n. Not optimal for real-time applications requiring rapid access. Utilizes a straightforward design approach. Performance can vary drastically based on input data. Best suited for experimental setups rather than practical use. Requires careful management of gate activations. Can be challenging to implement in integrated quantum circuits. Reliance on O(2^n) limits practical applications. May require additional error correction mechanisms. 4
Concept of Fanout Architecture Reduces interactions needed to only O(n) during memory calls. Enhances scalability, making it suitable for larger systems. More feasible for real-world applications with high input complexity. Improves overall system efficiency and performance. Enables faster data retrieval compared to Fanout. Minimizes resource consumption in large-scale setups. Ideal for dynamic environments requiring flexible access. Supports integration with other quantum technologies. Less complex and more manageable than Fanout architecture. Facilitates easier implementation in quantum circuits. Potentially lower energy consumption due to fewer gate requirements. Offers better performance stability across varied inputs. More adaptable to evolving quantum computing needs. Simplifies error correction processes. Encourages collaborative architectures for enhanced performance 5