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Quantum computation over continuous variables
Quantum Physics · Submitted 27 Oct 1998
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim This paper provides necessary and sufficient conditions for constructing a universal quantum computer over continuous variables.
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The abstract, sentence by sentence
This paper provides necessary and sufficient conditions for constructing a universal quantum computer over continuous variables. As an example, it is shown how a universal quantum computer for the amplitudes of the electromagnetic field might be constructed using simple linear devices such as beam-splitters and phase shifters, together with squeezers and nonlinear devices such as Kerr-effect fibers and atoms in optical cavities. Such a device could in principle perform `quantum floating point' computations. Problems of noise, finite precision, and error correction are discussed.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | This paper provides necessary and sufficient conditions for constructing a universal quantum computer over continuous variables. | contribution 0.93 | 0.89 | 0.80 | asserted 1.00 |
| s1 | As an example, it is shown how a universal quantum computer for the amplitudes of the electromagnetic field might be constructed using simple linear devices such as beam-splitters and phase shifters, together with squeezers and nonlinear devices such as Kerr-effect fibers and atoms in optical cavities. | method 0.52 | 0.85 | 0.10 | asserted 0.40 |
| s2 | Such a device could in principle perform `quantum floating point' computations. | interpretation 0.98 | 0.22 | 0.06 | hedged possibility 1.00 |
| s3 | Problems of noise, finite precision, and error correction are discussed. | contribution 0.63 | 0.52 | 0.04 | asserted 0.82 |
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The paper
Original abstract
This paper provides necessary and sufficient conditions for constructing a universal quantum computer over continuous variables. As an example, it is shown how a universal quantum computer for the amplitudes of the electromagnetic field might be constructed using simple linear devices such as beam-splitters and phase shifters, together with squeezers and nonlinear devices such as Kerr-effect fibers and atoms in optical cavities. Such a device could in principle perform `quantum floating point' computations. Problems of noise, finite precision, and error correction are discussed.
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References
How later papers used it
248 later papers cite it
1 later paper by other authors is listed below: 1 used its method or tool.
Uses its method or tool 1 of 6 papers with this label
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Following Ref. [ref] , we select a set of CV gates made up of displacements in position $X(c)$, squeezing $S(r)$, rotations $R(θ)$, and Kerr gates $K_LB(κ)$, defined as [equation] with ${c, r, θ, κ}∈ℝ$.
Towards fault-tolerant quantum computation with universal continuous-variable gates (2025) · Introduction · 0.87
How the literature uses it
19 arXiv papers cite this in 30 sentences
Papers citing it · 18 sentences without a confident label
Cites it as background 9 papers
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There is a fully quantum version of analogue computing, usually known as continuous variable quantum computing (CVQC) and first described by [ref] .
Quantum Analogue Computing · Continuous variable quantum computing · 0.95
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Gaussian operations, generated by Hamiltonians at most quadratic in the quadratures, together with a suitable non-Gaussian resource, provide a universal gate set [ref] .
Trigonometric Continuous-Variable Quantum Gates: Realization with Trapped Ions and Nonperturbative Wigner Negativity · Introduction · 0.90
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To date, several models studied in the literature seem to have these desirable properties, including Clifford circuits [ref] , nearest-neighbor matchgates [ref] , Gaussian operations [ref] , the one-clean qubit (DQC1) model [ref] , and commuting circuits [ref] (a more complete list is given at the end of this section).
The computational power of normalizer circuits over black-box groups · Introduction · 0.88
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