`SPSA` optimizer throws error in minimization of circuit
dariavh opened this issue · comments
Daria Van Hende commented
Describe the bug
SPSA
optimizer throws algorithm when silent
keyword in tequila.optimize()
is set to False.
To Reproduce
Steps to reproduce the behavior:
import tequila as tq
molecule = tq.chemistry.Molecule(geometry = "H 0.0 0.0 0.0\nH 0.0 0.0 1.0", basis_set="sto-3g")
H = molecule.make_hamiltonian()
U = molecule.make_uccsd_ansatz(threshold=1e-06, trotter_steps=1)
# define the expectationvalue
E = tq.ExpectationValue(H=H, U=U)
# optimize
result = tq.minimize(objective=E, method="SPSA", samples=10000, initial_values={k:0.0 for k in E.extract_variables()}, silent=False)
Computer:
- OS: Linux Darwin Kernel Version 22.3.0
- Version: Python 3.7.12, tequila 1.8.9
J. S. Kottmann commented
Thanks for noticing. It should be fixed in version 1.9.1.
Until then:
pip install --upgrade git+https://github.com/tequilahub/tequila.git@devel
Daria Van Hende commented
Thank you!