2013
DOI: 10.1038/nphoton.2012.360
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Calculating unknown eigenvalues with a quantum algorithm

Abstract: A quantum algorithm solves computational tasks using fewer physical resources than the best-known classical algorithm. Of most interest are those for which an exponential reduction is achieved. The key example is the phase estimation algorithm, which provides the quantum speedup in Shor's factoring algorithm and quantum simulation algorithms. To date, fully quantum experiments of this type have demonstrated only the read-out stage of quantum algorithms, but not the steps in which input data is read in and proc… Show more

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Cited by 59 publications
(60 citation statements)
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“…These experimental results are in good agreement with the theory described by the transformation (8). We see the expected feature of the sum gate that the sum of x A andx B appears inx β while the sum ofp A and −p B appears inp Îą , up to the local squeezing.…”
Section: Resultssupporting
confidence: 89%
See 1 more Smart Citation
“…These experimental results are in good agreement with the theory described by the transformation (8). We see the expected feature of the sum gate that the sum of x A andx B appears inx β while the sum ofp A and −p B appears inp Îą , up to the local squeezing.…”
Section: Resultssupporting
confidence: 89%
“…The ideal case, which corresponds to r → ∞ in Eq. (8), is shown by cyan lines. On one hand, the uncorrelated quantum fluctuations ofp B andx A are added to those ofp A and x B by the sum gateÊ AB , which leads to 3.0 dB increase ofp A andx B .…”
Section: Resultsmentioning
confidence: 99%
“…(5)- (7), we send the single photons through a PBS where the photon is split into two spatial modes according to its polarization. At the two separate spatial modes, controlled unitary operations can be implemented deterministically and independently [21]. Thus, we can transform, for instance, the two-photon entangled state (5) into…”
mentioning
confidence: 99%
“…In these settings the focus is on determining an optical phase-shift [13][14][15] through an interferometric setup. There is experimental work on (silicon) quantum photonic processors [16][17][18] on multiple-eigenvalue estimation for Hamiltonians which could also benefit from using the classical post-processing techniques that we develop in this paper. Figure 1.…”
Section: Introductionmentioning
confidence: 99%