Q2B26 Copenhagen | Ishaan Lyngdoh Pakrasi, Senior Product Manager — Technical, Amazon Braket, AWS

Q2B26 Copenhagen | Ishaan Lyngdoh Pakrasi, Senior Product Manager — Technical, Amazon Braket, AWS

by Ishaan Lyngdoh Pakrasi · View the channel on PSI

Applied Sciences & Engineering Computing & Cybersecurity UYComputer scienceUYXNatural computing
🎙 Ishaan Lyngdoh Pakrasi 👥 6K 📅 October 12, 2026 ⏱ 19 min 👁 33 📄 original study 🧭 2026-10-15
Available in: English (current) Français

Keywords

quantumHPCBraketlatencyorchestration

Summary

Ishaan Lyngdoh Pakrasi, Senior Product Manager at AWS Braket, presents how quantum computing integrates into the cloud and HPC ecosystem. He outlines Amazon Braket’s role as a managed service offering multiple quantum hardware modalities (superconducting, ion trap, neutral atom) and integrates with AWS services. The talk introduces a performance model developed with Nvidia to analyze the impact of communication latency on quantum workloads. This model distinguishes between application-level and real-time-level latency, proposing a communication-to-computation ratio (RCC) to determine if HPC collocation is beneficial. Case studies like SQD, GQE, and QMCMC illustrate varying RCC values. The speaker then presents architecture options using Hybrid Jobs for EC2 integration, and for HPC-scale needs, AWS Parallel Cluster, Batch, and PCS. He also discusses the QDMI open standard for on-premises HPC integration with quantum cloud resources. The talk concludes with a scan of QR codes and a Q&A. Overall, the presentation provides practical guidance for deploying quantum-classical workloads in the cloud.

156 words

Critical Evaluation

Value of the Information & Strength of the Argument

The talk offers a valuable performance model that helps users decide on HPC collocation, backed by concrete examples and metrics. The argumentation is clear and logical, though it relies on selected case studies and does not exhaustively cover all scenarios. The speaker successfully argues that latency needs vary by workload, and that orchestration is often a more significant factor than collocation.

Scientific Rigor, Source Quality, Title Accuracy

The talk references a paper with Nvidia and collaborations with IonQ, but no explicit citations are given. The source is primarily AWS-supported and the presentation is a product-oriented talk rather than a peer-reviewed article. The title accurately reflects the content, which focuses on the quantum supply chain and AWS’s platform. The scientific rigor is moderate, as it presents original performance analysis but lacks independent validation.

141 words

Title / Content Match

The title accurately reflects the talk's focus on the quantum supply chain and the speaker's role at AWS Braket.

Quality & Reliability

7/10

The talk presents a credible performance model and case studies from collaborations, but it is an industry presentation without independent verification. It provides technical depth but lacks formal citations.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

  • Q2B Conference — Conference website mentioned in the video description

Contribution & Novelties

The talk contributes a reusable performance model for assessing quantum-HPC collocation needs, backed by practical metrics and case studies. It also illustrates how AWS integrates quantum resources with classical HPC via hybrid jobs and the QDMI standard. The presentation offers a clear framework for resource placement decisions in quantum-cloud workflows.

Pour aller plus loin :

82 words

Radar Profile

The radar profile shows high scores in technical level and moderate scores in quantity and quality of information, with a slightly lower global reliability. This indicates a technically dense presentation that is informative but may lack some rigor expected from academic sources.

Reliability 6/10