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Block encoding notebook update 1 #1737

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Block encoding notebook update 1 #1737

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46b72ad
Update VQLS notebook to use BlockEncoding class
roie-d-classiq Sep 15, 2026
810bbce
Update QSVT matrix inversion notebook to use BlockEncoding class
roie-d-classiq Sep 15, 2026
20a69ea
Update QSVT matrix inversion test for BlockEncoding.from_matrix
roie-d-classiq Sep 15, 2026
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426 changes: 200 additions & 226 deletions algorithms/quantum_linear_solvers/qsvt_matrix_inversion/qsvt_matrix_inversion.ipynb
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97 changes: 30 additions & 67 deletions algorithms/quantum_linear_solvers/vqls/vqls_with_lcu.ipynb
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6 changes: 3 additions & 3 deletions tests/notebooks/test_qsvt_matrix_inversion.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,11 +13,11 @@ def test_notebook(tb: TestbookNotebookClient) -> None:
A notebook for a hybrid classical quantum neural network.
The test verifies that the pre-trained model is indeed well trained.
"""
# test quantum programs
# test quantum programs - using BlockEncoding.from_matrix with LCU
validate_quantum_program_size(
tb.ref_pydantic("qprog"),
expected_width=5, # actual width: 4
expected_depth=3200, # actual depth: 2150
expected_width=10, # LCU block encoding uses more ancilla qubits
expected_depth=15000, # QSVT polynomial approximation
)

computed_x = tb.ref_pydantic("computed_x")
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