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

Sampling Theorem01:15

Sampling Theorem

1.4K
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
1.4K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

59.9K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
59.9K
Norton's Theorem01:14

Norton's Theorem

1.5K
Norton's theorem is a fundamental principle stating that a linear two-terminal circuit can be substituted with an equivalent circuit, which comprises a current source (ⅠN) in parallel with a resistor (RN). Here, ⅠN represents the short-circuit current flowing through the terminals, and RN stands for the input or equivalent resistance at the terminals when all independent sources are deactivated. This implies that the circuit illustrated in Figure (a) can be exchanged with the one depicted...
1.5K
Biot-Savart Law: Problem-Solving00:59

Biot-Savart Law: Problem-Solving

4.0K
The magnitude and direction of a magnetic field created by a steady current can be calculated using the Biot-Savart law.
Consider a mobile phone battery bank as a source of steady current, which flows through the wire connected between the two. What is the magnitude of the magnetic field created by this current at a field point P?
To estimate the magnitude of the total magnetic field, we first consider a small current element of length dl, at a distance r from the field point. Now the following...
4.0K
The Uncertainty Principle04:08

The Uncertainty Principle

33.3K
Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
33.3K
Second Uniqueness Theorem01:16

Second Uniqueness Theorem

2.7K
Consider a region consisting of several individual conductors with a definite charge density in the region between these conductors. The second uniqueness theorem states that if the total charge on each conductor and the charge density in the in-between region are known, then the electric field can be uniquely determined.
In contrast, consider that the electric field is non-unique and apply Gauss's law in divergence form in the region between the conductors and the integral form to the surface...
2.7K

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

Making Existing Quantum Position Verification Protocols Secure Against Arbitrary Transmission Loss.

Physical review letters·2026
Same author

Beating the Natural Grover Bound for Low-Energy Estimation and State Preparation.

Physical review letters·2025
Same author

Measuring correlation and entanglement between molecular orbitals on a trapped-ion quantum computer.

Scientific reports·2025
Same author

F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits.

Entropy (Basel, Switzerland)·2021
Same author

Clean Quantum and Classical Communication Protocols.

Physical review letters·2016
Same author

Quantum communication complexity advantage implies violation of a Bell inequality.

Proceedings of the National Academy of Sciences of the United States of America·2016
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
查看所有相关文章

相关实验视频

Updated: Feb 18, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.2K

在样本复杂性方面具有可证明和可验证的量子优势.

Marcello Benedetti1, Harry Buhrman1,2,3, Jordi Weggemans2,4

  • 1Quantinuum, London, United Kingdom.

Physical review letters
|February 16, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了补充样本的量子算法,有效地找到补充集合中的元素. 量子计算在样本复杂性方面比经典方法具有显著的优势,特别是对于杂的中等规模量子设备.

更多相关视频

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.9K

相关实验视频

Last Updated: Feb 18, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.2K
Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.9K

科学领域:

  • 量子计算是一种量子计算.
  • 计算复杂性 计算复杂性
  • 信息理论 信息理论

背景情况:

  • 补充抽样涉及从补充子集中获取一个样本,从给定的子集中获取一个样本.
  • 经典算法需要大量的样本来进行补体采样,特别是当子集大小很大时.

研究的目的:

  • 为了开发一个量子算法补充采样.
  • 与经典算法相比,证明样本复杂性的量子优势.
  • 探索噪音中等规模量子计算机 (NISQ) 实现的潜力.

主要方法:

  • 开发了一种简单的量子算法,利用单个量子样本 (均叠加) 来实现.
  • 分析算法的成功概率,并与经典样本复杂度边界进行比较.
  • 扩展结果以证明平均案例硬度.

主要成果:

  • 当子集大小等于 (K=N/2) 时,量子算法可以实现100%的补充样本成功概率.
  • 经典算法需要与N成比例的样本来获得可比的成功概率.
  • 量子方法证明了样本复杂性的最大可能的分离.

结论:

  • 量子计算在补充样本采集的样本复杂性方面提供了可证明和可验证的优势.
  • 该算法适合在NISQ计算机上进行演示.
  • 补充抽样在假设单向函数的情况下提供了量子优势的途径.