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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.08463 |
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| _version_ | 1866918300823322624 |
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| author | Johnston, Nathaniel Li, Chi-Kwong |
| author_facet | Johnston, Nathaniel Li, Chi-Kwong |
| contents | Given a positive integer k, it is natural to ask for a formula for the distance between a given density matrix (i.e., mixed quantum state) and the set of density matrices of rank at most k. This problem has already been solved when "distance" is measured in the trace or Frobenius norm. We solve it for all other unitary similarity invariant norms. We also present some consequences of our formula. For example, in the trace and Frobenius norms, the density matrix that is farthest from the set of low-rank density matrices is the maximally-mixed state, but this is not true in many other unitary similarity invariant norms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_08463 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Approximating quantum states by states of low rank Johnston, Nathaniel Li, Chi-Kwong Quantum Physics Given a positive integer k, it is natural to ask for a formula for the distance between a given density matrix (i.e., mixed quantum state) and the set of density matrices of rank at most k. This problem has already been solved when "distance" is measured in the trace or Frobenius norm. We solve it for all other unitary similarity invariant norms. We also present some consequences of our formula. For example, in the trace and Frobenius norms, the density matrix that is farthest from the set of low-rank density matrices is the maximally-mixed state, but this is not true in many other unitary similarity invariant norms. |
| title | Approximating quantum states by states of low rank |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2510.08463 |