0.44.0

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Upgrade Instructions

• Python SDK
• The IDE upgrades automatically.

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Bug Fixes

1. Fixed a bug related to nested control operations.
2. Fixed a bug related to boolean arithmetic expressions with invert.
3. Fixed a bug related to arithmetic expressions inside within-apply.

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IDE

1. Add back improved circuit nodes search.
2. Fix bug in Quantum Program page .qprog file extensions uploads.
3. New Quantum Program export option: Quantum programs can now be exported as .qprog files.
4. Poll all active jobs in the job list, not just the selected job.
5. Add support for Alice & Bob hardware configurations in the IDE.

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Enhancements

1. Add support for arithmetic boolean expressions as conditionals for control statements; see here.
2. Add quantum structs.
3. The element type of quantum arrays can be any quantum type. N-dimensional quantum arrays are supported.
4. Operand parameter names are optional in both Native (qfunc (indicator: qbit) -> qfunc (qbit)) and Python (QCallable[QBit] -> QCallable[Annotated[QBit, "indicator"]]) Qmod.
5. Improve error messages.
6. Provide better circuits for certain boolean arithmetic expressions.
7. Improved qubit reuse and runtime performance for model without constraints.
8. Add solovay_kitaev_max_iterations field to the synthesis preferences, allowing for tuning the accuracy of the Solovay-Kitaev algorithm.
9. Built-in classical functions to decompose/compose a matrix into/from a Hamiltonian. Example of usage:

mat = np.array([[0, 1, 2, 3], [1, 4, 5, 6], [2, 5, 7, 8], [3, 6, 8, 9]])
hamiltonian = matrix_to_hamiltonian(mat)
mat = hamiltonian_to_matrix(hamiltonian)

10. parsed_states, parsed_counts, parsed_state_vector will contain the parsed execution details as lists if a quantum array was used in the model.

@qfunc
def main(qna: Output[QArray[QNum[3, True, 0]]]) -> None:
    allocate(6, qna)
    hadamard_transform(qna)


qp = synthesize(create_model(main))
res = execute(qp).result()
print(res[0].value.parsed_counts[0])

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Library and Documentation

1. A new tutorial on Hamiltonian simulation for block-encoded Hamiltonians, using QSVT and Qubitization, was added to the library.
2. A new tutorial on solving the discrete Poisson’s equation using the HHL algorithm, combined with quantum sine and cosine transforms, was added to the library; see here.
3. New state preparation functions - prepare_unifrom_trimmed_state, prepare_unifrom_interval_state, see here.
4. Enhanced the Discrete logarithm example to the case where the order is not power of 2, see here.
5. Updated the Quantum Types documentation page.

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Interface Changes

1. Some builtin operations parameters have been renamed:
   • control(ctrl=..., operand=...) => control(ctrl=..., stmt_block=...)
   • within_apply(compute=..., action=...) => within_apply(within=..., apply=...)
   • power(power=..., operand=...) => power(exponent=..., stmt_block=...)
   • invert(operand=) => invert(stmt_block=...)

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Deprecations

1. SDK: The @struct decorator has been removed. Define classical structs using @dataclass.
2. The field variance in EstimationResult is deprecated, and will be populated with the value -1 until removed.
3. The field timeout_sec in ExecutionPreferences, and the field job_timeout in AwsBackendPreferences, have been removed.
4. classical arguments in the native language are now inside the parentheses section ((...)) alongside quantum variables and not inside the angle brackets (<...>), the angle brackets section is now considered deprecated. For example, you should migrate: qfunc <a: real> main{...} -> qfunc main(a: real) {...} for info refer to the language reference about functions. A Warning was added to the IDE in the case it is used.