PERF: ArrowExtensionArray comparison methods
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [x] Added an entry in the latest `doc/source/whatsnew/v2.0.0.rst` file if fixing a bug or adding a new feature.

Perf improvement in `ArrowExtensionArray` comparison methods when array contains nulls. Improvement is from avoiding conversion to object array. 

```
import pandas as pd
import numpy as np

data = np.random.randn(10**6)
data[0] = np.nan

arr = pd.array(data, dtype="float64[pyarrow]")

%timeit arr > 0

# 80.5 ms ± 619 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)    <- main
# 4.05 ms ± 11.4 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)  <- PR
```
Thanks @lukemanley 