quantum mechanics – How to understand the Holevo capacity intuitively? – Physics Stack Exchange
https://physics.stackexchange.com/questions/711441/how-to-understand-the-holevo-capacity-intuitively
quantum mechanics – How to understand the Holevo capacity intuitively? – Physics Stack Exchange
https://physics.stackexchange.com/questions/711441/how-to-understand-the-holevo-capacity-intuitively
Differential privacy is not a silver bullet for all privacy problems. By Josep Domingo-Ferrer, David Sánchez, and Alberto Blanco-Justicia Posted Jul 1 2021
QT:{{”
The traditional approach to statistical disclosure control (SDC) for privacy protection is utility-first. Since the 1970s, national statistical institutes have been using anonymization methods with heuristic parameter choice and suitable utility preservation properties to protect data before release. Their goal is to publish analytically useful data that cannot be linked to specific respondents or leak confidential information on them.
In the late 1990s, the computer science community took another angle and proposed privacy-first data protection. In this approach a privacy model specifying an ex ante privacy condition is enforced using one or several SDC methods, such as noise addition, generalization, or microaggregation. The parameters of the SDC methods depend on the privacy model parameters, and too strict a choice of the latter may result in poor utility. The first widely accepted privacy model was k-anonymity, whereas differential privacy (DP) is the model that currently attracts the most attention.
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https://www.henryyuen.net/classes/spring2022/
https://www.henryyuen.net/spring2022/lec2-mixed-states.pdf
lecture notes on mixed states and density matrix.
QT:{{”
Frontiers of Quantum Complexity and Cryptography Lecture 2 – Mixed States and Density Matrices
Lecturer: Henry Yuen Spring 2022
Scribes: Melody Hsu
In the third lecture, we wrapped up a review of the foundational concepts we will need to tackle
later topics, and then started our first quantum complexity topic, state tomography. We briefly
discussed several ways to analyze probabilistic mixtures of quantum states; after the conclusion of
the review, we explored lower bounds on complexity of a classic tomography protocol.
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