ENH: Support logical and/or (bitwise ops) for nullable IntegerArray
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [x] (optional) I have confirmed this bug exists on the master branch of pandas: [cc6348](https://github.com/pandas-dev/pandas/commit/cc634842a1d73e77145d62c4390dfa10f282e06b)

---

Logical and/or (``&``, ``|``) on integer Series returns an integer Series:
```python
>>> import pandas as pd
>>> df = pd.DataFrame({'A': [1, 1, 0, 0], 'B': [1, 0, 1, 0]})
>>> df.A & df.B
0    1
1    0
2    0
3    0
dtype: int64
```

Doing this for a nullable IntegerArray, I expect the result to be another IntegerArray, but it raises a TypeError:
```python
>>> df.A.astype('Int64') & df.B.astype('Int64')
```

#### Traceback
```python-traceback
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "(snip)/pandas/core/ops/common.py", line 65, in new_method
    return method(self, other)
  File "(snip)/pandas/core/ops/__init__.py", line 393, in wrapper
    res_values = logical_op(lvalues, rvalues, op)
  File "(snip)/pandas/core/ops/array_ops.py", line 336, in logical_op
    res_values = op(lvalues, rvalues)
TypeError: unsupported operand type(s) for &: 'IntegerArray' and 'IntegerArray'
```

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : cc634842a1d73e77145d62c4390dfa10f282e06b
python           : 3.7.7.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 19.4.0
Version          : Darwin Kernel Version 19.4.0: Wed Mar  4 22:28:40 PST 2020; root:xnu-6153.101.6~15/RELEASE_X86_64
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.1.0.dev0+1710.gcc634842a
numpy            : 1.18.4
pytz             : 2020.1
dateutil         : 2.8.1
pip              : 20.1.1
setuptools       : 41.2.0
Cython           : 0.29.19
pytest           : 5.4.2
hypothesis       : 5.16.0
sphinx           : 3.0.4
blosc            : 1.9.1
feather          : None
xlsxwriter       : 1.2.8
lxml.etree       : 4.5.1
html5lib         : 1.0.1
pymysql          : None
psycopg2         : None
jinja2           : 2.11.2
IPython          : 7.14.0
pandas_datareader: None
bs4              : 4.9.1
bottleneck       : 1.3.2
fastparquet      : 0.4.0
gcsfs            : None
matplotlib       : 3.2.1
numexpr          : 2.7.1
odfpy            : None
openpyxl         : 3.0.3
pandas_gbq       : None
pyarrow          : 0.17.1
pytables         : None
pyxlsb           : None
s3fs             : 0.4.2
scipy            : 1.4.1
sqlalchemy       : 1.3.17
tables           : 3.6.1
tabulate         : 0.8.7
xarray           : 0.15.1
xlrd             : 1.2.0
xlwt             : 1.3.0
numba            : 0.49.1

</details>
