Tunneling with Gaussian Wave Packet

In summary, "Tunneling with Gaussian Wave Packet" explores the phenomenon of quantum tunneling using Gaussian wave packets to represent particles. The study investigates how these packets behave as they encounter potential barriers, highlighting the probability of tunneling through barriers despite classical predictions. The analysis focuses on the wave packet's evolution, the influence of barrier width and height on tunneling probability, and the implications for understanding quantum mechanics and related applications in fields like quantum computing and nanotechnology.
  • #1
Tertius
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TL;DR Summary
I have a simulation built of an initial wave packet approaching a barrier and tunneling.
The goal is to have accurate 1D numerical results for tunneling probabilities through an arbitrary barrier without relying on analytic approximations such as WKB. If there is a more ideal approach to this, I am happy to change tactics. Time independent, for example, but I am not sure how to set up the boundaries at the edges so it doesn't become a bound system.

Most of the resources i've found detail way to solve for bound systems (oscillators, potential wells, etc), but I haven't found one that produces tunneling probabilities from a numerical method.

My initial simulation is a Gaussian wavepacket approaching a barrier, but I am finding that the numerical results are of course dependent on the initial location of the wavepacket. This is expected because the time evolution spreads out the wavepacket as it approaches the barrier.

I am attaching a snapshot of the simulation (both real and imaginary parts of ##\psi## are shown). I am computing the tunneling probability as the integrated probability after the barrier divided by the integrated probability before the barrier (computed at each time step, and taking the maximum).

I am concerned this approach is dependent on initial position. Is there a better general approach?

previously consulted resources:
https://arxiv.org/html/2403.13857v1#S3 https://www.reed.edu/physics/faculty/wheeler/documents/Quantum Mechanics/Miscellaneous Essays/Gaussian Wavepackets.pdf

Screenshot 2024-06-12 at 07.36.41.png
 
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  • #2
Tertius said:
My initial simulation is a Gaussian wavepacket approaching a barrier, but I am finding that the numerical results are of course dependent on the initial location of the wavepacket. This is expected because the time evolution spreads out the wavepacket as it approaches the barrier.
You should try a higher central momentum for the wave packet then. You want to be in a regime where the spreading of the wave packet is negligible (compared to ##d\braket{x}/dt##) over the entire simulation.

Tertius said:
I am attaching a snapshot of the simulation (both real and imaginary parts of ##\psi## are shown). I am computing the tunneling probability as the integrated probability after the barrier divided by the integrated probability before the barrier (computed at each time step, and taking the maximum).
In the conditions I mentioned above, you will get a splitting of the wave packet into separated reflected and transmitted parts, from which you can calculate the transmission probability, which will be independent of time once the interaction with the barrier is over (assuming that the wave packet never reaches the end of the grid). The maximum might not correspond to the long-time (converged) result.

Also, for square barriers you can get exact transmission probabilities for a plane wave (see, e.g., Sakurai's Modern Quantum Mechanics). The numerical result can of course differ as you are using a wave packet, but it is possible to make the wave packet narrow enough in momentum such that the two results are practically indistinguishable.
 
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That makes sense. And then, from what i've found in literature, it is common to have the spreading parameter ##\sigma = \frac{h}{2 \lambda}##. That should, in combination with the momentum being high enough, give physically real and consistent results, I would hope.
 

FAQ: Tunneling with Gaussian Wave Packet

What is tunneling in quantum mechanics?

Tunneling is a quantum mechanical phenomenon where a particle can pass through a potential barrier that it classically should not be able to surmount due to insufficient energy. This occurs because particles exhibit wave-like properties, allowing them to have a non-zero probability of being found on the other side of the barrier, even if their energy is lower than the barrier height.

What is a Gaussian wave packet?

A Gaussian wave packet is a specific type of wave function that is shaped like a Gaussian (bell curve) and is commonly used to represent localized particles in quantum mechanics. It is characterized by its mean position, width, and momentum, and it evolves over time according to the Schrödinger equation, maintaining its Gaussian shape while spreading out.

How does a Gaussian wave packet demonstrate tunneling?

A Gaussian wave packet can demonstrate tunneling by being incident on a potential barrier. As it approaches the barrier, part of the wave function can penetrate into the barrier region, and there is a finite probability that a portion of the wave packet will appear on the other side of the barrier, illustrating the tunneling effect. This phenomenon can be analyzed using the time-dependent Schrödinger equation.

What factors influence the tunneling probability of a Gaussian wave packet?

The tunneling probability of a Gaussian wave packet is influenced by several factors, including the height and width of the potential barrier, the energy of the wave packet, and the width of the wave packet itself. Generally, a lower barrier, a higher energy wave packet, and a narrower wave packet increase the likelihood of tunneling.

What are the practical applications of tunneling with Gaussian wave packets?

Tunneling with Gaussian wave packets has practical applications in various fields, including quantum computing, where it is essential for understanding qubit behavior and coherence. It also plays a critical role in phenomena such as nuclear fusion, semiconductor physics, and scanning tunneling microscopy, where tunneling effects are exploited for imaging and manipulation at the atomic scale.

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