dorsal/arxiv
View SchemaHadamard NMR spectroscopy for two-dimensional quantum information processing and parallel search algorithms
| Authors | T. Gopinath, Anil Kumar |
|---|---|
| Categories | |
| ArXiv ID | quant-ph/0609061 |
| URL | https://arxiv.org/abs/quant-ph/0609061 |
| DOI | 10.1016/j.jmr.2006.09.001 |
Abstract
Hadamard spectroscopy has earlier been used to speed-up multi-dimensional NMR experiments. In this work we speed-up the two-dimensional quantum computing scheme, by using Hadamard spectroscopy in the indirect dimension, resulting in a scheme which is faster and requires the Fourier transformation only in the direct dimension. Two and three qubit quantum gates are implemented with an extra observer qubit. We also use one-dimensional Hadamard spectroscopy for binary information storage by spatial encoding and implementation of a parallel search algorithm.
{
"annotation_id": "b0b7f030-fb39-44b4-975f-ad78a8709d26",
"date_created": "2026-03-02T18:02:30.431000Z",
"date_modified": "2026-03-02T18:02:30.431000Z",
"file_hash": "cc54a59c793e26de54f07a35a424d41181707c55a372c9a72709d00d209a5d2a",
"private": false,
"record": {
"abstract": "Hadamard spectroscopy has earlier been used to speed-up multi-dimensional NMR\nexperiments. In this work we speed-up the two-dimensional quantum computing\nscheme, by using Hadamard spectroscopy in the indirect dimension, resulting in\na scheme which is faster and requires the Fourier transformation only in the\ndirect dimension. Two and three qubit quantum gates are implemented with an\nextra observer qubit. We also use one-dimensional Hadamard spectroscopy for\nbinary information storage by spatial encoding and implementation of a parallel\nsearch algorithm.",
"arxiv_id": "quant-ph/0609061",
"authors": [
"T. Gopinath",
"Anil Kumar"
],
"categories": [
"quant-ph"
],
"doi": "10.1016/j.jmr.2006.09.001",
"title": "Hadamard NMR spectroscopy for two-dimensional quantum information processing and parallel search algorithms",
"url": "https://arxiv.org/abs/quant-ph/0609061"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "212f8ae0-0a6f-4ee5-a470-da515a598ea7",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}