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We explore quantum information compression using measurements, quantifying measurement incompatibility. Full compression is possible only if measurements are jointly measurable, linking to quantum channel concepts.

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Area of Science:

  • Quantum Information Science
  • Quantum Measurement Theory
  • Quantum Information Compression

Background:

  • Investigating quantum information compression requires understanding the properties of measurement sets.
  • The concept of simulability aims to recover quantum state statistics after compression.
  • Measurement incompatibility is a key challenge in quantum information processing.

Purpose of the Study:

  • To define and investigate quantum information compression with respect to a set of high-dimensional measurements.
  • To establish a connection between full quantum compression and joint measurability.
  • To quantify measurement incompatibility in terms of dimensionality reduction.

Main Methods:

  • Developing a notion of simulability based on compressing quantum states and subsequent measurements.
  • Utilizing semidefinite programming for constructing simulation models.
  • Analytical construction of optimal simulation models for specific measurement types.

Main Results:

  • Full quantum compression is achievable if and only if the measurement set is jointly measurable.
  • Simulatability quantifies measurement incompatibility in terms of dimension.
  • Optimal simulation models were constructed for projective measurements under noise and losses.

Conclusions:

  • The study provides a framework for understanding quantum information compression and its relation to measurement properties.
  • Simulatability offers a new perspective on quantifying measurement incompatibility.
  • The findings connect to broader concepts in quantum channels and correlations.