The question came up in my game, so here is my estimate of QE reservoir capacities:
A Low-Capacity Qubit Reservoir can send 10 hours of HD video, while a High-Capacity Qubit Reservoir can manage 100 hours. If we assume HD video requires a few megabits per second (well compressed); if we assume 8 megabit per second as the bit rate, then a low capacity container holds 36 gigabytes of qubits, and a high capacity holds 360 gigabytes. If we assume the video is more heavily compressed to one megabit per second, then the capacity is 4.5 gig and 45 gigs respectively.
Audio signals typically have bitrates between 8 kbit/s (telephone quality) and 256 kbit/s (DAB). 100 hours of voice gives 360 megabytes to 11 gig for the low-capacity reservoir, and 3.6-110 gig for the high-capacity one.
So a rough estimate is that the low capacity reservoir has maybe a few tens of gigabytes, and the high capacity a few hundred gigabytes.
In regards to egocasting, my own estimate is that an ego is on the order of 100 terabytes. So if you get a thousand of the Expensive high capacity reservoirs (to a price tag of 20 millions or so) you can do an interstellar egocast.
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root@QE reservoir capacity
[hr] Hee, bring on the reference hammer! Earn your r-rep! Fight! I'm going to go make popcorn.@-rep +1
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]root@Brain bit count
[hr] Something I've wondered about is that in addition to synaptic strength weights, transmission speed is an important factor. There is the rough breakdown between grey and white matter, depending on mylenation, but there is also the raw length of the neuron and the number of layers any given signal needs to propagate down. So while you might be able to fit a Neural Network representation of a brain into a few terabytes, the connection graph is significantly more complicated. And that's even ignoring the weirdness caused by parasitic capacitance and other electrical/magnetic oddities caused by interference. Meat computers, I feel, are intrinsically tied to their structure, not just their architecture.@-rep +1
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root@QE reservoir capacity
[hr] Dry Observer, have you seen any videos or pictures of a brain surgery? I wish I was kidding when I say that it looks a whole lot like taking ice cream scoops to a brain. They have to check the area first to make sure the patient doesn't lose words, but it's amazing how much of a brain can be lost with little or no side effects. The phenomena of having a bit or two out of place and losing everything is related to how our digital computers handle data, which is combated with parallelism and redundancy. Every neuron in a brain should be thought of as a complete, if crappy computing device (technically you need at least two layers in an ANN before it's Turing complete, but whatever), where parallelism and redundancy is the name of the game. Now, there may be a very few structures that [i]must[/i] be constructed as an exact replica, but if that's the case then there are few enough of those structures that the extra overhead of sending a thousand copies of each is negligible.@-rep +1
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