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The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

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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.
49.9K
Fermi Level Dynamics01:12

Fermi Level Dynamics

368
The vacuum level denotes the energy threshold required for an electron to escape from a material surface. It is usually positioned above the conduction band of a semiconductor and acts as a benchmark for comparing electron energies within various materials.
Electron affinity in semiconductors refers to the energy gap between the minimum of its conduction band and the vacuum level and it is a critical parameter in determining how easily a semiconductor can accept additional electrons.
The work...
368
Biasing of Metal-Semiconductor Junctions01:27

Biasing of Metal-Semiconductor Junctions

354
Biasing metal-semiconductor junctions involves applying a voltage across the junction. Specifically, the metal is connected to a voltage source, while the semiconductor is grounded. This technique is essential for controlling the direction and magnitude of current flow in electronic devices, including diodes, transistors, and photovoltaic cells.
In Schottky junctions, where the semiconductor is n-type, applying a positive voltage to the metal relative to the semiconductor reduces its Fermi...
354
Biasing of FET01:22

Biasing of FET

381
Biasing a Junction Field Effect Transistor (JFET) is crucial for setting operational parameters and ensuring efficient functioning in electronic circuits. JFETs are characterized by using a single carrier type in N-channel or P-channel configurations, where the channel is surrounded by PN junctions. These junctions are central to the device's ability to control current flow.
In an N-channel JFET, the structure consists of N-type material forming the channel on a P-type substrate, with the...
381
Equilibrium Conditions for a Particle01:23

Equilibrium Conditions for a Particle

1.6K
When an object is in equilibrium, it is either at rest or moving with a constant velocity. There are two types of equilibrium: static and dynamic. Static equilibrium occurs when an object is at rest, while dynamic equilibrium occurs when an object is moving with a constant velocity. In both cases, there must be a balance of forces acting on the object.
To understand the concept of equilibrium, let us first consider the forces acting on an object. When different forces act on an object, they can...
1.6K
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.8K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.8K

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Updated: Sep 30, 2025

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

675

偏らないフェルミオン量子モンテカルロと量子コンピュータ

William J Huggins1, Bryan A O'Gorman2, Nicholas C Rubin3

  • 1Google Quantum AI, Mountain View, CA, USA. whuggins@google.com.

Nature
|March 17, 2022
PubMed
まとめ
この要約は機械生成です。

この研究は,複雑な多くの電子問題を解くためのハイブリッド量子-古典的なアプローチを導入します. 制限された量子モンテカルロ (QMC) と量子計算を組み合わせることで,化学システムのシミュレーションにおけるバイアスを軽減します.

さらに関連する動画

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

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

Published on: August 2, 2019

9.8K
Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

13.0K

関連する実験動画

Last Updated: Sep 30, 2025

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

675
Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

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

Published on: August 2, 2019

9.8K
Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

13.0K

科学分野:

  • コンピュータ化学
  • 量子コンピューティング
  • 量子多体物理学

背景:

  • 相互作用する多くの電子の問題は計算が密集しており,量子システムの特性の正確な予測を妨げています.
  • フェルミオン量子モンテカルロ (QMC) 方法は強力ですが,計算上の制約のためにバイアスに直面します.
  • 古典的な計算は,制限されたQMCの柔軟性を制限し,精度に影響を与えます.

研究 の 目的:

  • 制限されたQMCにおけるバイアスを軽減するためのハイブリッド量子-古典的なアプローチを開発する.
  • 電子構造の計算の精度を高めるために量子計算を活用する.
  • 計算化学における量子優位性を得るための 新しい経路を探求する

主な方法:

  • 束縛された量子モンテカルロ (QMC) と量子計算を組み合わせる.
  • 実験的な実装で最大16の量子ビットを使用します.
  • 最大120個の軌道を持つ化学システムに適用できます.

主要な成果:

  • 制約されたQMC計算におけるバイアスを成功裏に減少させました.
  • 最先端の古典的な方法と競合する精度を達成しました.
  • 量子コンピュータを用いた 最大の化学シミュレーションを証明しました
  • 厄介なエラーを軽減するテクニックを避けました.

結論:

  • 提案されたハイブリッド量子-古典モデルは,電子構造の問題の変数量子自己解決器の実行可能な代替案を提供します.
  • このアプローチは,完璧な基底状態の波関数準備と測定を必要とせずに,実用的な量子優位性への道を提供します.
  • この方法は,相互作用する多くの電子系によって引き起こされる計算上の課題を効果的に解決します.