Lagrange interpolation approach for general parameter-shift rule

This code use to run the algorithms in QCCSAA conference paper.

Name		Name	Last commit message	Last commit date
Latest commit History 49 Commits
ana1		ana1
ana2		ana2
ana2_x		ana2_x
ana2_y		ana2_y
cost_vqe_noise		cost_vqe_noise
cost_vqe_noise1		cost_vqe_noise1
cost_vqe_noiseless1		cost_vqe_noiseless1
cost_vqe_noiseless2		cost_vqe_noiseless2
docs		docs
image		image
thetas_vqe		thetas_vqe
thetas_vqe_noise1		thetas_vqe_noise1
thetas_vqe_noiseless1		thetas_vqe_noiseless1
thetas_vqe_noiseless2		thetas_vqe_noiseless2
-0.1.-0.05.0.eps		-0.1.-0.05.0.eps
.gitattributes		.gitattributes
.gitignore		.gitignore
MSE.ipynb		MSE.ipynb
MSE.py		MSE.py
MSE_analytic.ipynb		MSE_analytic.ipynb
README.md		README.md
VQE.py		VQE.py
base.py		base.py
compare.eps		compare.eps
compare.ipynb		compare.ipynb
constant.py		constant.py
lagrange_interpolation.ipynb		lagrange_interpolation.ipynb
lagrange_psr.py		lagrange_psr.py
polynomial.py		polynomial.py
tqix_compare copy.ipynb		tqix_compare copy.ipynb
tqix_compare.ipynb		tqix_compare.ipynb

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