de mining is sign invention

together with my colleague in a sense of the quantum technologies in singapore i've been

thinking about particular approach to a building

quantum computers

with both there is so what we do is what task on paper and hope

it is interesting to the experiments as

but i love a paper is high threshold

distributed quantum computing with three two bit nodes just quite an awful i think it

by explain what that means all of done a pretty stable job of explaining

okay

so on some computers of course of a stream of modern physics the idea of

the machine that harnesses quantum states in order to do calculations there are

effectively impossible with ordinary technology

in order to build such machine we need to have a very large number of

components each of which is stored in quantum state so that be the basic components

is that you that we need lots of them

or under good control

be distributed quantum computing approach is kind of an architectural overall scheme have to do

this

which tries to make things a scalable as possible

so the idea is don't put only a few bits into a single grand or

a monolithic structure that is one week ago but

in this t v two q i p instead you try and build small units

which michael more tools pornos each of which has only a few bits inside it

you get to the building that's and controlling it and you make lots of them

and welcome to get to make the last machine the network you expect to the

and we see that work for network

and that's actual scheme for the entire machine it's distributed in the sense that it's

kind of exploded out from a single monolithic structure but of course not distributed over

large distances in one room

okay so that but thresholding

okay so a threshold in the u refers to

a level of precision that you need to reach in order that when you trying

to a large scale computation the errors don't get out of control instead the arrows

are coming in at low enough rate that you can detect and correct and for

that basically if you're

within your threshold you can do this outside of the threshold and errors will build

up so fast that the calculation goes off track and get you know

so of course you want a threshold the bs the mystic as possible as high

as possible

what you know like what's also this let's try and figure out what is the

threshold for this distribute a quantum computing approach we're gonna have to keep numbers how

it is the network okay just a controlled inside the node and we can also

only three cue but spend a week or about that case "'cause" we put it

would be the simplest case that would give us

a good threshold

three people nodes are reasonable thing to ask for lots of experimental groups can basically

do that can basically q three q s

so what we found was

that we a partial was

ten percent noise in the network which means one time and ten

when you try and communicative network it just on bananas the you across to keep

it simple

and no point one percent noise with in the nodes themselves that means

on those rare occasions when you try and the human or something it actually correct

that q so

ten percent of the network what one percent for the

local operations in each that

but as numbers are time especially the ninety nine point nine percent precision within each

node star

but not ridiculously so there are experimental groups in a syntactic units or in

all tracks lindy sentences were pushing past sort of ninety nine percent threshold so

that could be rich but also we stress that we have with trying to improve

this point back to schemes that have

even more optimistic specials

you know the same time as the experiments is trying to improve

their stuff and

we have that soon not and you know pretty soon

we may see these numbers actually meeting and then in principle you do we are

trying to

a large-scale machine

okay so a few remarks the experts a how do we get a high threshold

with such a small number keep a node we basically a and in something which

is pretty much most of the previous role as a done which is to distill

well as within each node

a high quality and use those two power actual once again between local units

your client of data humans we don't do that instead we currently project no easy

hardy projections on the core units we do that repeated the until the party projection

becomes

effectively your and it's the resulting to o can go from a while back but

it's basically can be done

so then we just use the art objections to make some useful what we may

is the three d cost the state of which is a resource for a topological

quantum computing in the start described by prosody

so that's okay and we find we only six party projections to do it which

is basically why we're able to guess i threshold

okay what if any if any of this it is of interest reading the papers

of interest please don't hesitate to our contact me

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