dorsal/arxiv
View SchemaFirst principles quantum Monte Carlo
| Authors | J. M. A. Figueiredo |
|---|---|
| Categories | |
| ArXiv ID | quant-ph/0510047 |
| URL | https://arxiv.org/abs/quant-ph/0510047 |
Abstract
Present quantum Monte Carlo codes use statistical techniques adapted to find the amplitude of a quantum system or the associated eigenvalues. Thus, they do not use a true physical random source. It is demonstrated that, in fact, quantum probability admits a description based on a specific class of random process at least for the single particle case. Then a first principle Monte Carlo code that exactly simulates quantum dynamics can be constructed. The subtle question concerning how to map random choices in amplitude interferences is explained. Possible advantages of this code in simulating single hit experiments are discussed.
{
"annotation_id": "c84fac8b-fef6-42e4-92a3-dd47f6006edc",
"date_created": "2026-03-02T18:02:20.702000Z",
"date_modified": "2026-03-02T18:02:20.702000Z",
"file_hash": "09d7b4cac5782489e693edbd2297172bba09b24a07e0ba15bf82e2e7018f16e7",
"private": false,
"record": {
"abstract": "Present quantum Monte Carlo codes use statistical techniques adapted to find\nthe amplitude of a quantum system or the associated eigenvalues. Thus, they do\nnot use a true physical random source. It is demonstrated that, in fact,\nquantum probability admits a description based on a specific class of random\nprocess at least for the single particle case. Then a first principle Monte\nCarlo code that exactly simulates quantum dynamics can be constructed. The\nsubtle question concerning how to map random choices in amplitude interferences\nis explained. Possible advantages of this code in simulating single hit\nexperiments are discussed.",
"arxiv_id": "quant-ph/0510047",
"authors": [
"J. M. A. Figueiredo"
],
"categories": [
"quant-ph"
],
"title": "First principles quantum Monte Carlo",
"url": "https://arxiv.org/abs/quant-ph/0510047"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "f7347a22-66b2-4e57-8a30-a8b811e93cf7",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}