dorsal/arxiv
View SchemaIs partial quantum search of a database any easier?
| Authors | Lov K. Grover, Jaikumar Radhakrishnan |
|---|---|
| Categories | |
| ArXiv ID | quant-ph/0407122 |
| URL | https://arxiv.org/abs/quant-ph/0407122 |
Abstract
In this paper, we consider the partial database search problem where given a database on N items, we are required to determine the first k bits of an address x such that f(x)=1. We derive an algorithm and a lower bound for this problem in the quantum circuits model. Let q(k,N) be the minimum number of queries needed to find the first k bits of the required address x. We show that there exist constants c_k and d_k such that (pi/4) (1 - d_k/sqrt{K}) sqrt{N} <= q(k,n) <= (pi/4) (1 - c_k/sqrt{K}) sqrt{N}, where K=2^k. Thus, it is always easier to determine a few bits of the target address than to find the entire address, but as k becomes large this advantage reduces rapidly.
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"abstract": "In this paper, we consider the partial database search problem where given a\ndatabase on N items, we are required to determine the first k bits of an\naddress x such that f(x)=1. We derive an algorithm and a lower bound for this\nproblem in the quantum circuits model. Let q(k,N) be the minimum number of\nqueries needed to find the first k bits of the required address x. We show that\nthere exist constants c_k and d_k such that (pi/4) (1 - d_k/sqrt{K}) sqrt{N} \u003c=\nq(k,n) \u003c= (pi/4) (1 - c_k/sqrt{K}) sqrt{N}, where K=2^k. Thus, it is always\neasier to determine a few bits of the target address than to find the entire\naddress, but as k becomes large this advantage reduces rapidly.",
"arxiv_id": "quant-ph/0407122",
"authors": [
"Lov K. Grover",
"Jaikumar Radhakrishnan"
],
"categories": [
"quant-ph"
],
"title": "Is partial quantum search of a database any easier?",
"url": "https://arxiv.org/abs/quant-ph/0407122"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "130bc3cb-52e8-49d0-adcf-333d6b51a424",
"id": "arXiv Dataset IDs",
"type": "Model",
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