Curator's Take
This article shows a concrete step toward integrating quantum processors into real‑world chemistry workflows by coupling Classiq’s automated circuit design with AWS Braket’s hybrid execution model, something that has largely remained in academic demos until now. By delivering a functional pipeline for binding‑energy estimation on cloud infrastructure, the work aligns with Singapore’s national quantum strategy and demonstrates how industry‑grade platforms can accelerate drug‑discovery or materials research without requiring on‑premise hardware. It also highlights the growing importance of cloud providers as enablers of scalable quantum‑classical co‑processing, though the proof‑of‑concept still relies on modest qubit counts and error mitigation to achieve chemically relevant accuracy.
— Mark Eatherly
Summary
Software developer Classiq and innovation center Hatch have completed a computational chemistry proof-of-concept (PoC) to estimate molecular binding energy via Amazon Web Services (AWS) and Amazon Braket. Executed through Hatch’s Dimension X open innovation challenge for Singapore’s Home Team and aligned with Singapore’s National Quantum Strategy, the project establishes a functional pipeline for analyzing how [...] The post Classiq and Hatch Validate Hybrid Quantum-Classical Chemistry Pipeline on AWS Infrastructure appeared first on Quantum Computing Report .