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相关概念视频

Superconductor01:24

Superconductor

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A substance that reaches superconductivity, a state in which magnetic fields cannot penetrate, and there is no electrical resistance, is referred to as a superconductor. In 1911, Heike Kamerlingh Onnes of Leiden University, a Dutch physicist, observed a relation between the temperature and the resistance of the element mercury. The mercury sample was then cooled in liquid helium to study the linear dependence of resistance on temperature. It was observed that, as the temperature decreased, the...
1.1K
Types Of Superconductors01:28

Types Of Superconductors

932
A superconductor is a substance that offers zero resistance to the electric current when it drops below a critical temperature. Zero resistance is not the only interesting phenomenon as materials reach their transition temperatures. A second effect is the exclusion of magnetic fields. This is known as the Meissner effect. A light, permanent magnet placed over a superconducting sample will levitate in a stable position above the superconductor. High-speed trains that levitate on strong...
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The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

41.9K
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.
41.9K
Second-Order Circuits01:17

Second-Order Circuits

1.3K
Integrating two fundamental energy storage elements in electrical circuits results in second-order circuits, encompassing RLC circuits and circuits with dual capacitors or inductors (RC and RL circuits). Second-order circuits are identified by second-order differential equations that link input and output signals.
Input signals typically originate from voltage or current sources, with the output often representing voltage across the capacitor and/or current through the inductor. For example, in...
1.3K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

536
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
536
Semiconductors01:22

Semiconductors

576
There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
576

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Updated: Jun 3, 2025

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
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Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

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量子电路架构在超导处理器上进行搜索

Kehuan Linghu1, Yang Qian2,3, Ruixia Wang1

  • 1Beijing Academy of Quantum Information Sciences, Beijing 100193, China.

Entropy (Basel, Switzerland)
|January 8, 2025
PubMed
概括
此摘要是机器生成的。

量子架构搜索 (QAS) 通过自动设计高效的方法来增强变量量子算法 (VQA). 这种方法显著提高了量子硬件的分类准确性,克服了传统方法的局限性.

关键词:
有噪音的中等尺度量子量级.量子架构是搜索的量子架构.变量量子算法中的变量量子算法.

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科学领域:

  • 量子计算是一种量子计算.
  • 机器学习 机器学习
  • 量子机器学习就是量子机器学习

背景情况:

  • 变量量子算法 (VQA) 提供了计算优势,但在杂的中等尺度量子 (NISQ) 机器上,它们与替代表达力-可训练性权衡作斗争.
  • 虚拟素质评估中的启发式方法可能会导致性能下降,因为在平衡模型复杂性和学习效率方面存在局限性.

研究的目的:

  • 展示第一个应用量子架构搜索 (QAS) 来增强VQAs的原理证明实验.
  • 在超导量子处理器上使用QAS进行分类任务的定制方法.
  • 为了解决NISQ设备上的VQA中启发式分析的性能限制.

主要方法:

  • 实施了一种高效的自动替代设计技术,即量子架构搜索 (QAS).
  • 应用QAS来定制一个硬件效率高的替代品,用于8量子比特超导量子处理器上的分类任务.
  • 分析损失景观和有效参数以解释性能差异.

主要成果:

  • 与启发式方法相比,QAS设计的方法显著提高了测试准确度,从31%提高到98%.
  • 在量子分类任务中证明了QAS定制的方法的卓越性能.
  • 通过损失景观可视化和参数分析,提供了对增强性能的见解.

结论:

  • 量子架构搜索 (QAS) 是在变量量子算法 (VQA) 中设计优化方法的有效方法.
  • 这种方法克服了启发式方法的局限性,从而在量子机器学习任务中实现了显著的性能提升.
  • 这项研究为开发适应性方法来解决大型量子学习问题提供了指导.