Invention Grant
- Patent Title: Intelligent apparatus to auto-generate spine-leaf network topography for datacenter leveraging quantum photonic generative artificial intelligence
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Application No.: US18243901Application Date: 2023-09-08
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Publication No.: US12058005B1Publication Date: 2024-08-06
- Inventor: Shailendra Singh , Maneesh Sethia , Saurabh Garg
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: Bank of America Corporation
- Current Assignee: Bank of America Corporation
- Current Assignee Address: US NC Charlotte
- Agency: Banner & Witcoff, Ltd.
- Main IPC: G06F15/16
- IPC: G06F15/16 ; H04L9/00 ; H04L41/12 ; H04L41/16

Abstract:
Aspects of the disclosure relate to using machine learning models to automatically generate spine-leaf network topologies. A computing system may receive one or more prompts to generate a spine-leaf network topology based on a non-spine-leaf network topology of a non-spine-leaf network. Based on inputting the prompts into a natural language processing model, network criteria for generating the spine-leaf network topology may be generated. Non-spine-leaf network topology data comprising network metadata, network dependency parameters, and network constraint parameters, may be retrieved. Based on inputting the network criteria and the non-spine-leaf network data into a generative adversarial network implemented on a quantum computing device, candidate spine-leaf topologies comprising a qualified candidate spine-leaf network topology that meets the network criteria may be generated. A block of a blockchain may be generated and may comprise the qualified candidate spine-leaf network topology that meets the network criteria.
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