Quantum Pi



What is a Quantum Pi?

A gimmick? Probably. Anyone smart enough to read my work knows you can’t capture a qubit with a Pi. Even if you could engineer a group of lasers so precise it could trap a qubit and hold it… the Pi can’t read fast enough to do anything with it.

It’s like trying to photograph a bullet. You can do it — you just need a ridiculously good camera. A Pi is not that camera.

In hindsight, though, a Pi can do things most people won’t believe if you know how to squeeze everything out of it. I’ve been using Pi 3s for my Quantum Pis, and if you know what you’re doing, Pis can rival a lot of supercomputers.

I was talking to a data warehouse and they were bragging about their Nvidia B2000 servers. “Billions of transistors,” they said. BILLIONS. And even those systems can’t run Shor’s algorithm.

GPUs aren’t magic for everything. They’ve got lots of cores, but the cores don’t work in isolation and they have limited options. They give you a lot of space per pixel, but you can’t do everything with that. That’s why GPUs are great for mining — hashing SHA-256 — and not much else. Most people don’t know how to use them properly, so their potential sits there, useless.

The Pi’s cores are different. The Pi 3 has four versatile cores. Unlike GPUs, you get degrees of freedom. It’s faster for the kinds of tiny, brutal tasks I like. Sure, you can use a GPU with a Pi, but it’s slow: 400 MHz sounds fast, but compared to the CPU it isn’t. By the time you load data into the GPU and try to process it, the CPU’s already finished its work and is having a smoke.

So, a Raspberry Pi has zero — zero — chance of hosting a real quantum system. The granularity needed to tune anything at the quantum scale is far beyond a Pi or any off-the-shelf system… if you’re a muggle.

For the non-muggles, a Pi 3B+ is more than adequate. When you have ten of them — holy shit — my processing power looks astronomical. They have to be, because I’m planning to use Pis as my data servers. You’ll hit my system to compress and decompress massive amounts of data, and when you do you’ll be talking to a tiny Raspberry Pi — a Pi 3, to be exact. Not a 4, not a 5. Nothing special about the Pi 3 — I just had free ones and that’s what I used.

The payoff is massive scale: thousands of concurrent clients, and the only bottleneck is the read/write speed of the crystal lattice. Whoops — forget I said crystal lattice. Nothing to see here.

So a Quantum Pi is the world’s shittiest quantum computer. The board costs about $35, and you can’t tell the direction of any single qubit’s spin. You can’t tell which way its partner spins. A Pi with hobby lasers and cheap optical sensors can’t interact at the quantum level with any measurable granularity.

Notice — I said you. Without some new magic math, you can’t measure a qubit’s spin. You can’t even guarantee you’ve isolated a real pair. You can’t put qubits into superposition if you can’t see or interact with them. And if you don’t have a gravity sink, you sure as hell can’t slow them down enough to do any of that on a Pi.

What’s a gravity sink? Don’t ask like it’s a normal noun. For you, gravity is a constant force and not something you tweak. Muggles — really, how did you even figure out how to make oatmeal?

I have ten Quantum Pis. Each runs an AI that can create a teleportation-like event and then emulate and recreate that event in system memory, reconstructing your data from interference-pattern-like artifacts — a two-slit test, sort of. Imagine shining a flashlight through a few slits and the pattern on the wall is the ones and zeros of your file. I know many of you think that’s impossible. LOL. Keep thinking that.

Infinite Data is coming on the backs of my ten Quantum Pis. They’re not remotely easy to build, and even if someone stole the hardware, I’m not sure they’d know how to make it work. Infinite Data is coming. It’s not funded by grants or VC. I built it with nothing — spare parts and math. That’s all.

You’ll think I’m lying. You’re smart enough to know better. You know Infinite Data violates Shannon, and I’m here to tell you Claude Shannon was 1000% correct — for yesterday. He was right for the model he built. I looked past yesterday and found that maybe we don’t know all the math; maybe the ancients had tricks we forgot. I get the dark ages now. I know why we lost some of this math.

If we’re to transcend — to survive and thrive beyond the solar system and across the galaxy — we need better math. We need Infinite Data. We need infinite RAM and infinite processing. We need to understand what that even means. You don’t. You just don’t. You’re a muggle. You can’t do magic. You can’t fly. You can’t math. You can’t crow.



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