dorsal/arxiv
View SchemaOptimization approach to entanglement distillation
| Authors | T. Opatrny, G. Kurizki |
|---|---|
| Categories | |
| ArXiv ID | quant-ph/9811090 |
| URL | https://arxiv.org/abs/quant-ph/9811090 |
| DOI | 10.1103/PhysRevA.60.167 |
| Journal | Phys.Rev. A60 (1999) 167-172 |
Abstract
We put forward a method for optimized distillation of partly entangled pairs of qubits into a smaller number of more entangled pairs by recurrent local unitary operations and projections. Optimized distillation is achieved by minimization of a cost function with up to 30 real parameters, which is chosen to be sensitive to the fidelity and the projection probability at each step. We show that in many cases this approach can significantly improve the distillation efficiency in comparison to the present methods.
{
"annotation_id": "b4c2557c-8881-4c5f-9ae4-56c094b7ef69",
"date_created": "2026-03-02T18:02:44.469000Z",
"date_modified": "2026-03-02T18:02:44.469000Z",
"file_hash": "6bcc41daa48722837f1e3be6a807783e2435d22b398fa7546aa732a35aba2e3c",
"private": false,
"record": {
"abstract": "We put forward a method for optimized distillation of partly entangled pairs\nof qubits into a smaller number of more entangled pairs by recurrent local\nunitary operations and projections. Optimized distillation is achieved by\nminimization of a cost function with up to 30 real parameters, which is chosen\nto be sensitive to the fidelity and the projection probability at each step. We\nshow that in many cases this approach can significantly improve the\ndistillation efficiency in comparison to the present methods.",
"arxiv_id": "quant-ph/9811090",
"authors": [
"T. Opatrny",
"G. Kurizki"
],
"categories": [
"quant-ph"
],
"doi": "10.1103/PhysRevA.60.167",
"journal_ref": "Phys.Rev. A60 (1999) 167-172",
"title": "Optimization approach to entanglement distillation",
"url": "https://arxiv.org/abs/quant-ph/9811090"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "ac927cca-0a4c-4005-aab2-3c8fa4bd2ad6",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}