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Strategies & Market Trends : Technical analysis for shorts & longs
SPY 675.37-1.2%4:00 PM EST

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To: E_K_S who wrote (67185)10/25/2025 5:15:56 PM
From: Johnny Canuck   of 67603
 
I think you are missing the nuance of the paper that was posted.

The value proposition of quantum is that it can do algorithms faster and quicker than tradition AI implementation on GPUs.

The articles from IBM last week I think said that they could simulate a quantum centric algorithm on AMD GPUs. It did not say that it could do it as quick as a actual quantum computer implementation.

Think of it this way a quantum computer is theoretically projected to to solve an 128 bit cryptographic key by 2030 or 2040 using a brute force algorithm.

perplexity.ai

Running the similar algorithm on a GPU will essentially take longer that universe has left.

perplexity.ai

Quantum computing is about doing steps in parallel across an enormous set of processors at the same time while occupying a faction of the space, using a fraction of the energy involved and faster since the processes happens on a quantum level where delays are infinitely less.

GPUs, AMD or otherwise is not able to do any of that.

What the paper was suggesting I think without knowing the details is they are able to do a a massive number of parallel operations like but not exactly analogous to a small or modest quantum computer array.

I would highly doubt it can do anything on the scale or speed of a real quantum computer.

Right now it is all speculation till I see the paper or someone does a critique.

Essentially I suspect it is step in making something that looks like quantum computing but has a fraction of the speed and efficiency to try to do something sooner rather that later.

The parallel in the PC would would be I can run Windows or Linux in a virtual environment but it is not close to being as fast as running it in a native environment.

When I have time I will try to read the paper.

Science is trying to sexy right now, so a lot of discoveries are being overstated. I would hold your praise till you actually see it do something useful as opposed to an academic exercise.
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