We’ve seen the industrial quantum community generating POCs and algorithms—breakthrough thinking of how quantum computing can create new potential for business. But a performant quantum computing solution, delivered in production, only creates business value when it works with the complex, fragmented architectures of data and compute in massive organizations. In the next several years, we will see quantum-enabled solutions delivered as production systems. Then when increasingly capable quantum devices come online, having deployment architectures in place that can utilize these machines will be critical.
This panel discusses:
• What is required from business and IT leaders to enable this forward compatibility of the work we are all doing today post-advantage
• Examples of how QC is being implemented today with available classical software architectures (also workflows)
• A QC solution’s potential failure modes for going from POC to production solution (reference what we learned from AI/ML transformation)
•How to solve for these failure modes across architecture, tools and bringing your org along
Panelists include:
• Dan Diasio, Global AI Leader – Ernst & Young
• Brian Standen, Global Head of Next Gen. Compute – BASF
• Kam Chana, Dir. Scientific Data & Computing Platforms – Merck
• Christopher Savoie, CEO & Founder – Zapata Computing, Inc.
