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BUG: pd.cut regression since version 1.4.0 when operating on datetime

See original GitHub issue

Pandas version checks

I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

pd.cut(
    pd.Series([pd.Timestamp('2022-02-26')]),
    bins=pd.interval_range(
        pd.Timestamp('2022-02-25'),
        pd.Timestamp('2022-02-27'),
        freq='1D',
    )
).value_counts()

Issue Description

Binning is not correct in Pandas 1.4.x.

(2022-02-25, 2022-02-26]    0
(2022-02-26, 2022-02-27]    0

Note that the same series gets processed correctly, when the dtype is not datetime64[ns]

pd.cut(
    pd.Series(['2022-02-26']),
    bins=pd.interval_range(
        pd.Timestamp('2022-02-25'),
        pd.Timestamp('2022-02-27'),
        freq='1D',
    )
).value_counts()

Expected Behavior

The expected behavior is

(2022-02-25, 2022-02-26]    1
(2022-02-26, 2022-02-27]    0

Installed Versions

INSTALLED VERSIONS

commit : 06d230151e6f18fdb8139d09abf539867a8cd481 python : 3.8.10.final.0 python-bits : 64 OS : Linux OS-release : 5.10.60.1-microsoft-standard-WSL2 Version : #1 SMP Wed Aug 25 23:20:18 UTC 2021 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : en_US.UTF-8 LANG : en_US.UTF-8 LOCALE : en_US.UTF-8

pandas : 1.4.1 numpy : 1.22.1 pytz : 2021.3 dateutil : 2.8.2 pip : 22.0.3 setuptools : 60.7.1 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.3 IPython : 8.0.1 pandas_datareader: None bs4 : None bottleneck : None fastparquet : None fsspec : None gcsfs : None matplotlib : 3.5.1 numba : None numexpr : None odfpy : None openpyxl : 3.0.9 pandas_gbq : None pyarrow : None pyreadstat : None pyxlsb : None s3fs : None scipy : None sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None zstandard : None