BUG: The query method does not support index or column named `datetime`
```python
In [1]: import pandas as pd
In [2]: index = pd.MultiIndex.from_product([['T0', 'T1'], ['A', 'B']], names=['datetime', 'count'])
In [3]: frame = pd.DataFrame({'isnull': range(len(index))}, index=index)
In [4]: frame.query('count == "A"') # works
Out[4]: 
                isnull
datetime count        
T0       A           0
T1       A           2

In [5]: frame.query('isnull < 2') # works
Out[5]: 
                isnull
datetime count        
T0       A           0
         B           1

In [6]: frame.query('datetime == "T0"') # failed caused by KeyError
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
D:\home\tools\Anaconda\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
   2645             try:
-> 2646                 return self._engine.get_loc(key)
   2647             except KeyError:

...

D:\home\tools\Anaconda\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
   2646                 return self._engine.get_loc(key)
   2647             except KeyError:
-> 2648                 return self._engine.get_loc(self._maybe_cast_indexer(key))
   2649         indexer = self.get_indexer([key], method=method, tolerance=tolerance)
   2650         if indexer.ndim > 1 or indexer.size > 1:

pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
KeyError: False

In [7]: index2 = pd.MultiIndex.from_product([pd.date_range('20200101', '20200202'), ['A', 'B']], names=['datetime', 'count'])
In [8]: frame2 = pd.DataFrame({'isnull': range(len(index2))}, index=index2)
In [9]: frame2.query('datetime == "2020-01-01"') # failed caused by TypeError
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
D:\home\tools\Anaconda\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
   2645             try:
-> 2646                 return self._engine.get_loc(key)
   2647             except KeyError:

...

D:\home\tools\Anaconda\lib\site-packages\pandas\core\indexes\datetimes.py in get_loc(self, key, method, tolerance)
    721 
    722             try:
--> 723                 stamp = Timestamp(key)
    724                 if stamp.tzinfo is not None and self.tz is not None:
    725                     stamp = stamp.tz_convert(self.tz)

pandas\_libs\tslibs\timestamps.pyx in pandas._libs.tslibs.timestamps.Timestamp.__new__()
pandas\_libs\tslibs\conversion.pyx in pandas._libs.tslibs.conversion.convert_to_tsobject()
TypeError: Cannot convert input [False] of type <class 'numpy.bool_'> to Timestamp

```

#### Problem description

The `query` method failed when the query expression contains `datetime`.

#### Expected Output

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

<details>

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.8.3.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
machine          : AMD64
processor        : Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : Chinese (Simplified)_China.936

pandas           : 1.0.5
numpy            : 1.18.5
pytz             : 2020.1
dateutil         : 2.8.1
pip              : 20.1.1
setuptools       : 49.2.0.post20200714
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : 3.1.2
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.2
IPython          : 7.16.1
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : None
matplotlib       : 3.2.2
numexpr          : 2.7.1
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
pytest           : None
pyxlsb           : None
s3fs             : None
scipy            : 1.5.0
sqlalchemy       : None
tables           : 3.6.1
tabulate         : 0.8.3
xarray           : None
xlrd             : 1.2.0
xlwt             : None
xlsxwriter       : None
numba            : 0.50.1

</details>
