- People think that quantum computing
is something that's way
off in the distance.
So we primarily work on
magnetic resonance imaging,
or MRIs.
It's a super powerful technique,
but it's expensive and it's slow.
We're trying to solve
this optimization problem
of how we should scan.
What's the best way to scan a patient
that has this particular disease.
That's where the quantum
inspired optimization
really will make a difference.
We're talking about gains of
ten, twenty, thirty percent,
and maybe even factors
of two or three in speed.
Those are hundreds of
thousands of patients a year
that we can impact with just these gains
that may sound kind of modest,
but it can really have a
massive impact globally.
Our group has been trying
to drive advances in speed
and make it much more specific.
We're doing this through a method
that we call magnetic
resonance fingerprinting,
or MRF.
This is a technology that allows us
to really look at each part of the body
and make a specific
diagnosis as to what's there.
The more sensitive we
can make that sequence,
the earlier we're gonna see those things.
With fingerprinting, we
get a quantitative result
for each and every pixel.
We're hoping that that allows us to get
a really specific look inside that tissue
to understand is that cancer
or is that normal tissue
so that we can really guide
treatment in a reproducible way.
The quantum inspired optimization
is able to give us a better
result than we can get
with any of the conventional
methods that we've seen.
