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Related Concept Videos

Quantum Numbers02:43

Quantum Numbers

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It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
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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.
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Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

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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 the...
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Semiconductors01:22

Semiconductors

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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...
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Non-ohmic Devices00:51

Non-ohmic Devices

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In most substances, the current flow is proportional to the voltage applied to it. A simple relationship between the values of current, voltage, and resistance is known as Ohm's law. Nonohmic devices do not exhibit a linear relationship between voltage and current. One such device is the semiconducting circuit element known as a diode. A diode is a circuit device that allows current flow in only one direction.
Consider a simple circuit consisting of a battery, a diode, and a resistor. A...
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Types of Semiconductors01:20

Types of Semiconductors

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Intrinsic semiconductors are highly pure materials with no impurities. At absolute zero, these semiconductors behave as perfect insulators because all the valence electrons are bound, and the conduction band is empty, disallowing electrical conduction. The Fermi level is a concept used to describe the probability of occupancy of energy levels by electrons at thermal equilibrium. In intrinsic semiconductors, the Fermi level is positioned at the midpoint of the energy gap at absolute zero. When...
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Materials challenges and opportunities for quantum computing hardware.

Nathalie P de Leon1, Kohei M Itoh2, Dohun Kim3

  • 1Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, USA.

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Summary
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Advancing quantum computing hardware requires overcoming materials science challenges across five platforms. Interdisciplinary collaboration is key to developing new fabrication techniques for scalable quantum systems.

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Area of Science:

  • Quantum Computing Hardware
  • Materials Science
  • Interdisciplinary Research

Background:

  • Quantum computing hardware technologies have progressed significantly over the last 20 years.
  • The primary goal is to build systems capable of solving classically intractable problems.
  • Progress is hindered by limitations in materials science, engineering, and fabrication.

Purpose of the Study:

  • Identify key materials challenges limiting five quantum computing hardware platforms.
  • Propose solutions to these identified materials challenges.
  • Explore new research avenues for quantum computing advancement.

Main Methods:

  • Analysis of materials limitations in five leading quantum computing hardware platforms.
  • Literature review and expert consultation to propose solutions.
  • Identification of emerging materials and fabrication techniques.

Main Results:

  • Key materials challenges detailed for superconducting qubits, trapped ions, photonic systems, topological qubits, and neutral atoms.
  • Proposed strategies include novel material synthesis, improved defect control, and advanced characterization.
  • New exploration areas include quantum error correction materials and hybrid systems.

Conclusions:

  • Materials science and engineering are critical bottlenecks for large-scale quantum computing.
  • Interdisciplinary approaches involving materials scientists, engineers, and quantum physicists are essential.
  • Overcoming these challenges will necessitate innovation beyond current quantum computing paradigms.