Practical Quantum Techniques: Joana Fraxanet Morales | QGSS 2025

Value of the Information & Strength of the Argument

The talk provides valuable, actionable information for practitioners, detailing specific Qiskit tools and techniques for each stage of quantum algorithm implementation. The argumentation is solid, grounded in established concepts and recent research (e.g., the utility paper). The speaker clearly explains the trade-offs of each technique, such as the exponential overhead in circuit cutting or the cost of operator back propagation. The presentation is well-structured, moving from motivation to practical steps, and effectively communicates the challenges of noisy hardware and the available mitigation strategies.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is high: the speaker is an expert from IBM Quantum, and the content aligns with current best practices. The talk references the 2023 utility paper and mentions specific Qiskit add-ons, but does not provide detailed citations or external sources. The title accurately reflects the content, which is a practical tutorial. No comments were provided for analysis.

The title accurately reflects the content: a practical guide to implementing quantum algorithms on near-term hardware, presented by Joana Fraxanet Morales at QGSS 2025.

8/10

The talk is a technical tutorial by an IBM Quantum researcher, presenting established methods and tools (Qiskit patterns, add-ons) with clear explanations. It is based on known concepts in quantum computing and references the utility paper (2023) and specific techniques. The content is accurate and well-structured, though it does not provide original research or extensive citations.

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

• 00:00Introduction and motivation for scaling quantum algorithms.
• 03:00Discussion of the utility regime and the 2023 utility paper.
• 06:00Overview of the four steps in quantum algorithm implementation.
• 09:00Mapping stage: Qiskit circuit library and add-ons (multiproduct formulas, AQC tensor).
• 12:00Optimization stage: transpilation and Qiskit transpiler.
• 15:00Execution stage: primitives (sampler and estimator) and error mitigation introduction.
• 18:00Post-processing stage: Qiskit add-ons like matrix-free measurement mitigation and SQD.
• 21:00Focus on noisy hardware: types of noise (environmental, readout, gate errors).
• 24:00Error suppression vs. error mitigation: techniques like dynamical decoupling and zero-noise extrapolation.
• 27:00Conclusion and summary of practical techniques.

• Qiskit documentation — Referenced as the main resource for Qiskit tools and add-ons.
• Qiskit add-ons GitHub — Mentioned as the repository for the add-ons discussed.
• Evidence for the utility of quantum computing before fault tolerance — Referenced as the 2023 utility paper.

• Qiskit documentation — Official documentation for Qiskit tools and primitives.
• Qiskit add-ons GitHub — Repository for the add-ons mentioned.