Agents For Quantum

Telecommunication services is a complex space needed for most business. Using ai agents, quantum computing can be more accessible and another tool for the use navigating the telecom space.

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Inspiration: Quantum computing application to modeling chaotic environments like ocean currents and epidemiology provided insight to an environment that can factor in small changes. When attempting to communicate within telecommunications there are several different factors to something as basic as cost. Sender, enduser, enduser's provider, tier of use and many other factors can have cost vary by as much as 50 %. The goal is to utilize AI agents to ease the integration of quantum computing in the telecommunication space.

What it does: Uses a Bedrock agent with Anthropic's model to set up CLI tools (Twilio CLI, AWS CLI). AWS Braket performs quantum analysis on Twilio accounts for telecommunications cost optimization.

How we built it: Started by selecting a telecom aggregator account with issues that can be addressed with better modeling. Identified pain points in setup to optimize ai agents for, from there narrowed the scope of AWS bracket to find valuable insight to stakeholders of the telecom account

Challenges: AWS service costs scale rapidly if to wide of a quantum model is attempted. Limiting quantum analysis scope to specific account management use cases. Twilio is the telecom aggregator with most documentation but with the highest cost, limited analysis to only one aggregator.

Accomplishments: Successfully implemented quantum reasoning for Twilio account analysis.

What we learned: Telecom aggregators vary significantly in API quality and documentation. Solution effectiveness depends on aggregator documentation quality. Limiting factor: quality of quantum modeling, need to learn more linear algebra.

Next steps: Identify use cases with maximum impact potential for quantum analysis, while bettering developing better agents and more effective code for quantum modeling.

Key improvements: removed redundant phrases, fixed typos, added structure, and made the quantum computing application clearer.

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