dorsal/arxiv
View SchemaBenchmarking quantum control methods on a 12-qubit system
| Authors | C. Negrevergne, T. S. Mahesh, C. A. Ryan, M. Ditty, F. Cyr-Racine, W. Power, N. Boulant, T. Havel, D. G. Cory, R. Laflamme |
|---|---|
| Categories | |
| ArXiv ID | quant-ph/0603248 |
| URL | https://arxiv.org/abs/quant-ph/0603248 |
| DOI | 10.1103/PhysRevLett.96.170501 |
Abstract
In this letter, we present an experimental benchmark of operational control methods in quantum information processors extended up to 12 qubits. We implement universal control of this large Hilbert space using two complementary approaches and discuss their accuracy and scalability. Despite decoherence, we were able to reach a 12-coherence state (or 12-qubits pseudo-pure cat state), and decode it into an 11 qubit plus one qutrit labeled observable pseudo-pure state using liquid state nuclear magnetic resonance quantum information processors.
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"date_created": "2026-03-02T18:02:26.466000Z",
"date_modified": "2026-03-02T18:02:26.466000Z",
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"abstract": "In this letter, we present an experimental benchmark of operational control\nmethods in quantum information processors extended up to 12 qubits. We\nimplement universal control of this large Hilbert space using two complementary\napproaches and discuss their accuracy and scalability. Despite decoherence, we\nwere able to reach a 12-coherence state (or 12-qubits pseudo-pure cat state),\nand decode it into an 11 qubit plus one qutrit labeled observable pseudo-pure\nstate using liquid state nuclear magnetic resonance quantum information\nprocessors.",
"arxiv_id": "quant-ph/0603248",
"authors": [
"C. Negrevergne",
"T. S. Mahesh",
"C. A. Ryan",
"M. Ditty",
"F. Cyr-Racine",
"W. Power",
"N. Boulant",
"T. Havel",
"D. G. Cory",
"R. Laflamme"
],
"categories": [
"quant-ph"
],
"doi": "10.1103/PhysRevLett.96.170501",
"title": "Benchmarking quantum control methods on a 12-qubit system",
"url": "https://arxiv.org/abs/quant-ph/0603248"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "17c4baa6-cc2c-4f70-9d84-672617fdebb1",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
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