Lectures & Tutorials
Measurement (note)
Part of the series Intro to Quantum Noise (QGSS 2022); cited as one entry below.
Hand-written notes on measurement theory for the Introduction to Quantum Noise lectures at the Qiskit Global Summer School on Quantum Simulations. Each shot is treated as a coin toss whose bias is set by the quantum algorithm, which leads to the variance of the outcome and to sampling error over N repeated shots.
- Measuring different observables of a qubit
- Single-shot outcomes as Bernoulli random variables
- Variance vs. the probability of obtaining 1, and projection noise
- Counting outcome sequences over a few shots (2^3 sequences for 3 samples)
Summary and key points drafted by a language model from the slides, not yet reviewed by me. The slides are the source.
Cite
@misc{minev2022quantumnoiseqgss,
author = {Zlatko K. Minev},
title = {{Intro to Quantum Noise (QGSS 2022)}},
howpublished = {Lecture series, Qiskit Global Summer School},
year = {2022},
url = {https://zlatko-minev.github.io/zlatko-minev-quantum-repository/series/intro-to-quantum-noise-qgss-2022/},
note = {Slides, 6 decks}
}Reuse
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