Classiq's quantum computing platform has been integrated with NVIDIA CUDA-Q, significantly accelerating the development and execution of hybrid quantum applications. This integration enables quantum research teams to reduce iteration cycles, streamlining workflows from AI-assisted quantum modeling to execution in hybrid quantum-classical environments. Notably, benchmark tests on a financial options-pricing application using Iterative Quantum Amplitude Estimation achieved a substantial reduction in circuit synthesis and execution time, from 67 minutes to 2.5 minutes, utilizing a single NVIDIA A100 GPU. This development highlights the potential for quantum computing to drive significant performance gains in complex applications. The integration of Classiq's platform with NVIDIA CUDA-Q1 demonstrates the growing importance of hybrid quantum-classical environments in advancing quantum research. So what matters to practitioners is that this integration underscores the need for urgent planning and migration to post-quantum cryptography, as advancements in quantum computing continue to narrow the timeline for cryptographic vulnerability.