Mixing Old and New: A Fresh Take on Predicting Network Traffic

Predicting network traffic is a big deal. It helps keep things running smoothly. People have used different methods to do this. Some are old-school. Others are newer.

The Challenge with TSMixer

One of the newer methods is called TSMixer. It's pretty good. But it has some problems:

Struggles with patterns that repeat over time.
Not great at predicting far into the future.

Introducing QTSMixer

So, what can we do? We can mix old and new ideas. That's where QTSMixer comes in. It's a mix of regular and quantum neural networks.

Why Quantum?

Quantum networks are good at finding patterns.
They can also look at long-term trends.
The best part? We can control how much of the quantum stuff is used. This makes the model flexible.

Testing QTSMixer

QTSMixer was tested on real-world data. It did better than TSMixer. It was 6.72% more accurate. That's a big deal.

Beyond Network Traffic

But it's not just about network traffic. This mix of old and new could be useful in other areas, like:

Predicting the stock market.
Forecasting the weather.

The possibilities are exciting.

Looking Ahead

But we need to think critically. Is this the best way forward? Or are there other mixes that could work better? It's important to keep exploring. The future of prediction is wide open.