Fix issue1258

[grossardt]

Summary

Fixes issue #1258

For BosonicOp, FermionicOp, SpinOp, VibrationalOp, changed the line that takes care of the empty string coefficient (constant part of operator) in from_polynomial_tensor constructor to assign a scalar number rather than 0d array.

Details and comments

PolynomialTensor stores all coefficients as tensors, including the empty string contribution, which is consistent. The SparseLabelOps have a scalar number coefficient per label string. When constructed from PolynomialTensor, coefficients are assigned from the scalar elements of the corresponding tensor. However, the constant term (empty string) is dealt with separately, assigning the 0d tensor:

data[""] = tensor[key]

To convert this also to scalar, this is replaced by:

data[""] = tensor[key].sum()

[CLAassistant]

All committers have signed the CLA.

[CLAassistant]

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.
_{You have signed the CLA already but the status is still pending? Let us recheck it.}

[coveralls]

Pull Request Test Coverage Report for Build 6315372064

• 1 of 4 (25.0%) changed or added relevant lines in 4 files are covered.
• 1 unchanged line in 1 file lost coverage.
• Overall coverage decreased (-0.01%) to 86.73%

---

Changes Missing Coverage	Covered Lines	Changed/Added Lines	%
qiskit_nature/second_q/operators/bosonic_op.py	0	1	0.0%
qiskit_nature/second_q/operators/spin_op.py	0	1	0.0%
qiskit_nature/second_q/operators/vibrational_op.py	0	1	0.0%
<!--	Total:	1	4	25.0%	-->

Files with Coverage Reduction	New Missed Lines	%
qiskit_nature/second_q/operators/tensor.py	1	85.46%
<!--	Total:	1		-->

Totals
Change from base Build 6195281139:	-0.01%
Covered Lines:	8706
Relevant Lines:	10038

---

💛 - Coveralls

[grossardt]

Sorry, I misinterpreted the CONTRIBUTING.md, assuming that fixes like this don't count as 'end user facing' and therefore don't need release notes. I added a short release note now, I hope this is appropriate in length and detail.

[woodsp-ibm]

Maybe this might logically be better to convert to scalar https://numpy.org/doc/stable/reference/generated/numpy.ndarray.item.html ? While sum works you did have to comment to explain what its really doing.

[grossardt]

@woodsp-ibm Thanks. I changed it accordingly. Tried to keep it compact without messing around with dtype and still get a scalar of the right type, but I simply didn't know of the existence of ndarray.item(), thats why .sum() seemed most fitting.