(no title)
tamat | 9 months ago
First it says we lose electrons by deleting information. But AFAIK we are losing electrons everywhere, most gates will operate on negation of a current, which I understand is what they refeer to losing electrons. So, are all gates bad now?
Also, why keeping a history of all memory changes will prevent losing heat? You will have to keep all that memory running so...
And finally, why would this be useful? Who needs to go back in time in their computations??
thrance|9 months ago
Obviously, in real life, most power consumed by computers is lost by wire resistance, not through "forgetting" memory in logic gates. You would need superconducting wires and gates to build an actually reversible CPU.
Also, you would need to "uncompute" the result of a computation to bring back your reversible computer from its result back to its initial state, which may be problematic. Or you can expend energy to erase the state.
Quantum computers are reversible computers, if you seek a real life example. Quantum logic gates are reversible and can all be inverted.
tamat|9 months ago
HPsquared|9 months ago
Edit: and yes, most of the logical operations in a regular chip like AND, OR, NAND etc are irreversible (in isolation, anyway)
rnhmjoj|9 months ago
The Landauer limit at ambient temperature gives something of the order of 10⁻²¹ J to irreversibly flip a bit. While, if I read this paper[1] correctly, current transistors are around 10⁻¹⁵ J. So, definitely not coming to AI "soon".
[1]: https://arxiv.org/pdf/2312.08595
tamat|9 months ago
naasking|9 months ago
How much power does a persistent storage (hard drive, SSD) require to preserve its stored data? Zero, which is why it emits zero heat.
> Who needs to go back in time in their computations??
At its most basic level, erasing/overwriting data requires energy. This generates a lot of heat. Heat dissipation is a major obstacle to scaling chips down even further. If you can design a computer that doesn't need to erase nearly as much data, you generate orders of magnitude less heat, and this potentially opens up more scaling potential and considerable power savings.