dorsal/arxiv
View SchemaQuantum memory: Write, read and reset
| Authors | Tai Tsun Wu, Ming Lun Yu |
|---|---|
| Categories | |
| ArXiv ID | quant-ph/0208137 |
| URL | https://arxiv.org/abs/quant-ph/0208137 |
Abstract
A model is presented for the quantum memory, the content of which is a pure quantum state. In this model, the fundamental operations of writing on, reading, and resetting the memory are performed through scattering from the memory. The requirement that the quantum memory must remain in a pure state after scattering implies that the scattering is of a special type, and only certain incident waves are admissible. An example, based on the Fermi pseudo-potential in one dimension, is used to demonstrate that the requirements on the scattering process are consistent and can be satisfied. This model is compared with the commonly used model for the quantum memory; the most important difference is that the spatial dimensions and interference play a central role in the present model.
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"abstract": "A model is presented for the quantum memory, the content of which is a pure\nquantum state. In this model, the fundamental operations of writing on,\nreading, and resetting the memory are performed through scattering from the\nmemory. The requirement that the quantum memory must remain in a pure state\nafter scattering implies that the scattering is of a special type, and only\ncertain incident waves are admissible. An example, based on the Fermi\npseudo-potential in one dimension, is used to demonstrate that the requirements\non the scattering process are consistent and can be satisfied. This model is\ncompared with the commonly used model for the quantum memory; the most\nimportant difference is that the spatial dimensions and interference play a\ncentral role in the present model.",
"arxiv_id": "quant-ph/0208137",
"authors": [
"Tai Tsun Wu",
"Ming Lun Yu"
],
"categories": [
"quant-ph"
],
"title": "Quantum memory: Write, read and reset",
"url": "https://arxiv.org/abs/quant-ph/0208137"
},
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"source": {
"execution_id": "cf4adc1f-8388-4a6e-a5d8-181d97fe2fcb",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
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