Uploaded August 2025 | Updated September 2026, 1 week ago
Addressing timely problems with quantum computers requires not only proficient hardware and software capabilities, but also efficient and scalable frameworks, which allow to reuse and simplify code, as well as maximize compatibility with existing software and hardware ecosystems. In this talk, we will walk you through the main steps of a quantum algorithm, from problem mapping to workload optimization, and finally, to hardware execution. Special focus will be placed on the final step: how to extract accurate and reliable results from today’s noisy quantum devices. We will explore modern error mitigation and suppression techniques, practical implementations and emerging methods for noise-aware computation, which will play an important role on the road to fault-tolerant quantum computing.
Addressing timely problems with quantum computers requires not only proficient hardware and software capabilities, but also efficient and scalable frameworks, which allow to reuse and simplify code, as well as maximize compatibility with existing software and hardware ecosystems. In this talk, we will walk you through the main steps of a quantum algorithm, from problem mapping to workload optimization, and finally, to hardware execution. Special focus will be placed on the final step: how to extract accurate and reliable results from today’s noisy quantum devices. We will explore modern error mitigation and suppression techniques, practical implementations and emerging methods for noise-aware computation, which will play an important role on the road to fault-tolerant quantum computing.
