(audience clapping)
- Thank you, hi everyone my name is Mirko Amico
as you saw from the previous slide as well,
today I will be talking about learning
quantum mechanics with IBM Q.
So, a brief outline of my talk
or what I'm gonna speak about
first we touch on quantum mechanics
and then I will talk about quantum computing with the IBM Q
and about Qiskit which J already talked about it
and then I will give you some example of experiment
that you can do with IBM Q.
so at the beginning of the nineteen twentieth century,
or nineteen hundreds a growing number of experiments
showed that classical physics was not good enough
to describe and predict
what experimenting atomic physics were showing us.
So in the face of this we were forced
to make a kind of adjustment
and the patchwork of the theoretical ideas was born
to fix what classical mechanics
and the classical laws of electromagnetism were telling us.
Eventually this effort ended in the nineteen twenties
when a coherent and consistent mathematical framework
was developed by Heisenberg first
and then Schrodinger which was able to explain this
all this Atomic experiments.
The problem is that since then we've been struggling
to understand what really the mathematics is telling us
about the future of nature.
So, what I think it's the take-home message
from this mathematical framework that we've developed
is that physical properties are discrete
so there is a minimum precision with which we can know
the values of physical variables
of certain physical variables
and this is given by Planck's constant.
The second take-home massage is that we can only predict
probabilities of future events
the probabilities that certain variable,
will take a specific values.
And the last one is that in this framework
we can't really tell what the properties of a system are
whenever we're not interacting with the system
or as so to say measuring it.
Know, how can we use this?
Well with quantum computer of course
otherwise we won't be here
and in this sense IBM was the first one to lead the way
when they released they said the quantum experience first
and then Qiskit this allowed people to have access
to anyone with an internet connection to have access
to noisy intermediate scale quantum computers
which that's a term that we are given know
for to these quantum computers
which are not yet the ones dreamed
by the pioneers of quantum computing in the nineties
but there are four steps towards these machines
and this took the form of various five
and 16 and now 14 cubits devices
which as I said everyone can can access
and do experiments with.
Now to use these machines we need to talk to Qiskit
and Qiskit is a python based software
which is open source, anyone can contribute to that
and develop it
Qiskit is based on four elements,
so I'll just go over it very quickly
since you're already heard about this
the first one is called Terra
it's kind of foundation of the whole software
and that allows you to compile your circuit
and interact with the hardware.
Ignis is about noise and errors
Aqua contains applications for of quantum computing like,
optimization, chemistry and artificial intelligence
and there are a host of several high performance simulators
Now, once you start talking to Qiskit,
you can do several things.
And anyone can turn himself into a Quantum scientist
that's the coolest parts of it
and so one of the first one of the example
of the things that you can do,
is use it as a pedagogical tool
to familiarize yourself for teach other people
and give them a hands-on experience on Quantum Mechanics.
For example, you can really observe the facts
of superposition which is the simultaneous assignment
of different states to the same system
with a certain probability
or observe the facts of entanglement
which is a stronger than classical correlation
between Quantum systems.
Another thing that you can do is to explore applications
of quantum Computing which give a quantum advantage
which means that you'll have a speed up
with respect to classical alternatives
in solving the same mathematical problem.
So the very first six samples that were found in this sense
the Deutsh-Jozsa algorithm, Bernstein-Vazirani
and Simon algorithm which is the precursor
to Shor's algorithm and those showed
that it was embraceable possible to have a speed up
which was constant linear or exponential respectively.
We just factor the like best classical counterparts.
Last, one last thing that you can do
with the quantum experience
which I think it's one of the most important ones
is that you can explore questions related to research.
So whatever your Quantum phenomena that you want to explore
if you can phrase it in terms of Qiskit
then you can actually use the quantum experience
or IBM Q to get some answers for example,
one of the topics which got me most interested
is about the foundation of quantum mechanics
and one of the notebooks available for Qiskits
actually shows that you can do with experimental test
of Bell's theorem, which is a theorem about the locality
or non locality of nature
and using the quantum experience or Qiskit
then you can actually do this test experimentally,
and, find experimental data
and check if your experimental nature
is violating Bell's inequality or not.
And with this I'd like to conclude
and thank you for your attention.
(audience clapping)