<s>
A	O
basic	O
example	O
of	O
this	O
is	O
quantum	B-Algorithm
state	I-Algorithm
tomography	I-Algorithm
,	O
where	O
a	O
quantum	O
state	O
is	O
learned	O
from	O
measurement	O
.	O
</s>
<s>
For	O
example	O
,	O
Bayesian	O
methods	O
and	O
concepts	O
of	O
algorithmic	O
learning	O
can	O
be	O
fruitfully	O
applied	O
to	O
tackle	O
quantum	O
state	O
classification	O
,	O
Hamiltonian	O
learning	O
,	O
and	O
the	O
characterization	O
of	O
an	O
unknown	O
unitary	B-Algorithm
transformation	I-Algorithm
.	O
</s>
<s>
Quantum	B-Device
machine	I-Device
learning	I-Device
can	O
also	O
be	O
applied	O
to	O
dramatically	O
accelerate	O
the	O
prediction	O
of	O
quantum	O
properties	O
of	O
molecules	O
and	O
materials	O
.	O
</s>
<s>
Generating	O
adaptive	O
feedback	O
schemes	O
for	O
quantum	O
metrology	O
and	O
quantum	B-Algorithm
tomography	I-Algorithm
.	O
</s>
<s>
Though	O
the	O
application	O
is	O
considerably	O
infantile	O
in	O
the	O
field	O
of	O
quantum	B-Device
machine	I-Device
learning	I-Device
,	O
it	O
has	O
incredibly	O
high	O
promise	O
for	O
more	O
efficiently	O
generating	O
efficient	O
optimization	O
functions	O
.	O
</s>
<s>
A	O
deep	B-Algorithm
learning	I-Algorithm
system	O
was	O
reported	O
to	O
learn	O
intuitive	O
physics	O
from	O
visual	O
data	O
(	O
of	O
virtual	O
3D	O
environments	O
)	O
based	O
on	O
an	O
unpublished	O
approach	O
inspired	O
by	O
studies	O
of	O
visual	O
cognition	O
in	O
infants	O
.	O
</s>
