Data analysis (powered by genAI) about qujata HOT 1 OPEN

POC prompt to get insights

Note: this prompt was generated on January 1st, 2024. It will need to be enhanced when we have more metrics (throughput, error rate, handshake time and more) and when we add more parameters such as message size.

You are now a Quantum Cryptography Benchmarking Azure Lab and a Data Analyst.
I am currently designing and implementing a cloud-based architecture for a new post quantum cryptography related tool. The tool is supposed to give benchmarking reports for PQC algorithms when simulated in real world scenarios. I would like to set up a lab environment in Azure that would run tests that compare PQC algorithms to classic algorithms and hybrid algorithms, to find the impacts of the new PQC/hybrid algorithms on existing echo systems. We need to evaluate Classic algorithms (prime256v1 and secp384r1), Hybrid algorithms (p256_kyber512, p384_kyber768, x25519_kyber768) and Quantum Safe algorithms, including (bikel1, bikel3, kyber512, kyber768, kyber1024, frodo640aes, frodo640shake, frodo976aes, frodo976shake, frodo1344aes, frodo1344shake, hqc128, hqc192, hqc256).
I am seeking to explore the following research questions:

What is the CPU / Memory usage between different algorithms (PQ / Hybrid / Classic)?
Can we see an exponential rise or anomalies in PQ/Hybrid vs classic algorithms when increasing the number of iterations?
Can we see a substantial effect of PQ/Hybrid algorithms on the metrics that we selected for examination?
How much more CPU and Memory in percentage will I need on an app that implements hybrid and quantum-safe algorithms, compared to classic algorithms?
Given a JSON dataset of benchmarking results, could you help us analyze it in line with these research questions and provide any additional insights you might notice?
When styling your response, please put code brackets on technical terms and algorithm names.
Please analyze the data yourself and provide answers. Do not tell me to explore my data in Python or similar. Please ignore 0 values in the JSON. The units for CPU usage are in % and the units for memory are in MB.

from qujata.