Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Even and Odd Signals01:17

Even and Odd Signals

762
An even signal, whether in continuous-time or discrete-time, is defined by its symmetry with its time-reversed version. Mathematically, this is represented as
762
Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule01:10

Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule

1.2K
In the AX proton spin system, proton A can sense the two spin states of a coupled proton X, resulting in a doublet NMR signal with two peaks of equal (1:1) intensity. When proton A is coupled to two equivalent protons (AX2 spin system), the spin states of each X can be aligned with or against the external field, creating three possible scenarios. This results in a 1:2:1  triplet signal, where the central peak corresponds to the chemical shift of A and is twice as large or intense as the...
1.2K
Properties of Fourier series II01:21

Properties of Fourier series II

139
Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
A function f(t) is...
139
Properties of Fourier series I01:20

Properties of Fourier series I

278
The Fourier series is a powerful tool in signal processing and communications, allowing periodic signals to be expressed as sums of sine and cosine functions. A foundational property of the Fourier series is linearity. If we consider two periodic signals, their linear combination results in a new signal whose Fourier coefficients are simply the corresponding linear combinations of the original signals' coefficients. This property is crucial in applications like frequency modulation (FM)...
278
Parseval's Theorem01:18

Parseval's Theorem

466
Parseval's theorem is a fundamental concept in signal processing and harmonic analysis. It asserts that for a periodic function, the average power of the signal over one period equals the sum of the squared magnitudes of all its complex Fourier coefficients. This theorem, named after Marc-Antoine Parseval, provides a powerful tool for analyzing the energy distribution in signals.
Interestingly, Parseval's theorem also holds for the trigonometric form of the Fourier series, which...
466
Convolution Properties I01:20

Convolution Properties I

140
Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
140

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Conformal Field Theory, Solitons, and Elliptic Calogero-Sutherland Models.

Communications in mathematical physics·2025
Same journal

A Mathematical Analysis of IPT-DMFT.

Communications in mathematical physics·2026
Same journal

Asymptotics of Symmetric Polynomials: A Dynamical Point of View.

Communications in mathematical physics·2026
Same journal

Commuting Quantum Operations Factorise.

Communications in mathematical physics·2026
Same journal

On the Open TS/ST Correspondence.

Communications in mathematical physics·2026
Same journal

A Superintegrable Quantum Field Theory.

Communications in mathematical physics·2026
Same journal

High-Contrast Random Composites: Homogenisation Framework and Spectral Convergence.

Communications in mathematical physics·2026
查看所有相关文章

相关实验视频

Updated: Jun 12, 2025

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

8.9K

在量子信号处理中的互补多项式.

Bjorn K Berntson1,2, Christoph Sünderhauf2

  • 1Riverlane Research, Cambridge, Massachusetts, USA.

Communications in mathematical physics
|June 9, 2025
PubMed
概括
此摘要是机器生成的。

我们介绍了一种新的量子信号处理方法,使用复杂分析来找到互补的多项式. 这种方法提供了明确的错误保证,并优于量子计算应用的现有数值技术.

更多相关视频

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.4K
Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

14.5K

相关实验视频

Last Updated: Jun 12, 2025

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

8.9K
A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.4K
Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

14.5K

科学领域:

  • 量子计算是一种量子计算.
  • 量子信号处理是一种量子信号处理.

背景情况:

  • 在量子计算机上实现多项式函数需要构建互补的多项式.
  • 目前用于此任务的数值方法缺乏明确的错误分析.

研究的目的:

  • 开发一种新的方法来计算使用复杂分析的互补多项式.
  • 为补充多项式的计算提供明确的错误保证.

主要方法:

  • 使用复杂分析来导出对应多项式的轮积分表示.
  • 开发基于快速里埃变换的算法,用于单项基础上的高效计算.

主要成果:

  • 建立了一个使用轮积分的规范互补多项式表示法.
  • 快里叶变换算法提供了明确的错误界限,并证明了优化为基础的方法的卓越性能.

结论:

  • 新的复杂分析和基于Fast Fourier转换的方法为量子信号处理提供了一种高效可靠的方法.
  • 这项工作在量子计算机上实现多项式函数的理论和实践方面取得了重大进展.