Classiq 0.51.0

Released on 2024-09-29.

Upgrade Instructions

• Python SDK
• The IDE upgrades automatically.

Notice

• With the release of version 0.52 (scheduled for the week of 06-12.10.2024),
  execution with older SDK versions might result in errors or unexpected behavior.
  In order to make sure executions of your quantum programs via the SDK work properly
  upgrade your SDK to the latest version (See instructions guide above).

Enhancements

1. Improve qubit reuse in arithmetic operations when machine_precision is set.
2. Improve error messages when executing circuits on Amazon Braket.
3. Improve error messages when executing the VQE primitive.
4. Support constant assignments: x |= 3, x ^= 3, and x += 3.

Bug Fixes

1. Fix in-place XOR assignments (^=) of 1-qubit expressions into multi-qubit
   variables (used to raise an error).

SDK

1. Add a new function, quantum_program_from_qasm, to convert a QASM string into a Quantum Program.

Classiq 0.50.0

Released on 2024-09-23.

Upgrade Instructions

• Python SDK
• The IDE upgrades automatically.

Notice

• With the release of version 0.52 (scheduled for the week of 06-12.10.2024),
  execution with older SDK versions might result in errors or unexpected behavior.
  In order to make sure executions of your quantum programs via the SDK work properly
  upgrade your SDK to the latest version (See instructions guide above).

Classiq 0.49.0

Released on 2024-09-16.

Upgrade Instructions

• Python SDK
• The IDE upgrades automatically.

Notice

• With the release of version 0.52 (scheduled for the week of 06-12.10.2024),
  execution with older SDK versions might result in errors or unexpected behavior.
  In order to make sure executions of your quantum programs via the SDK work properly
  upgrade your SDK to the latest version (See instructions guide above).

Bug Fixes

1. Raise indicative error when circuit cannot be visualized.
2. Fixed synthesis of arithmetic operations nested in a within-apply statement
   when machine_precision is set.

Classiq 0.48.0

Released on 2024-09-10.

Upgrade Instructions

• Python SDK
• The IDE upgrades automatically.

Enhancements

1. Improved error messages.
2. Added SIGNED and UNSIGNED built-in constants to improve readability of
   QNum types. SDK: QNum[4, SIGNED, 1]. Native: qnum<4, SIGNED, 1>.
3. QNum types can specify just the size property. SDK: QNum[4] and
   QNum("n", 4). Native: qnum<4>. Such types are unsigned
   (is_signed=False) integers (fraction_digits=0) by default.
4. Execution on remote providers is no longer subject to any time limit when using ExecutionSession
   or executing models without classical execution code. Note: simulation on Classiq backends is still subject to time limit.
5. In-place add operations (inplace_add) now support signed variables.

Bug Fixes

1. Fixed an operand-related bug. Might occur when calling a function recursively
   in one of its operands (for example: foo(lambda: foo(...))).
2. Fixed an expression-related bug. Might occur when using the same variable
   in multiple expressions.
3. Fixed in-place XOR operations (^= / inplace_xor) in the presence of
   signed variables. The sign variable is now interpreted as part of the
   significand without special treatment.
4. Fixed synthesis of arithmetic operations nested in a within-apply statement.

Interface Changes

1. SDK: Deprecated parameter names in built-in operations were removed.
   • 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=...)

Library Additions

1. Added a new notebook for solving the Differential equation using the HHL Algorithm, to simulate war games.

Classiq 0.47.0

Upgrade Instructions

• Python SDK
• The IDE upgrades automatically.

Enhancements

1. Cancelling an execution job will now result in cancellation of any ongoing jobs sent to the provider during the execution. For more information, see Cancellation.

Library and Documentation

1. A new tutorial on the Oblivious Amplitude Amplification algorithm was added.

SDK

1. The Classiq SDK now supports Python 3.12.

Classiq 0.46.0

Upgrade Instructions

• Python SDK
• The IDE upgrades automatically.

Enhancements

1. Improve synthesis performance in unconstrained large models by lowering circuit width via qubit recycling.

Deprecations

1. The Classiq SDK will drop support for Python 3.8 near its end-of-life on October 2024.

Classiq 0.45.0

Upgrade Instructions

• Python SDK
• The IDE upgrades automatically.

Enhancements

1. Add size attribute to quantum variables:

=== "SDK"

[comment]: DO_NOT_TEST

``` python
@qfunc
def main(my_struct: Output[MyStruct]) -> None:
    allocate(my_struct.size, my_struct)
```

=== "Native"

```
qfunc main(output my_struct: MyStruct) {
  allocate(my_struct.size, my_struct);
}
```

Classiq 0.44.0

Upgrade Instructions

• Python SDK
• The IDE upgrades automatically.

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.

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.
6. Add support for QCtrl API key configuration in IBM hardware settings.

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:

=== "SDK"

[comment]: DO_NOT_TEST

``` python
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.

=== "SDK"

[comment]: DO_NOT_TEST

``` python
@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])
```

previously this would print -> state={'qna': 43} shots=27
now it prints -> state={'qna': [-2, 3]} shots=27

Library and Documentation

1. A new tutorial on Hamiltonian simulation for block-encoded Hamiltonians, using QSVT and Qubitization, was added to
   the library; see here.
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.

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=...)

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.

Classiq 0.43.0

Upgrade Instructions

• Python SDK
• The IDE upgrades automatically. Please note that you might need to clear your cache after the version update. See this guide for help.

Enhancements

1. Support signed quantum numerics in in-place-xor assignments (^=).
2. Support quantum array subscripts in quantum expressions.
3. Support quantum numeric arrays.
4. Improve synthesis performance.
5. Apply an automatic qubit reuse pass when the model is unconstrained.
6. Add user-defined enums.

=== "Native"

  ```
  qfunc main(output res: qbit) {
    allocate<1>(res);
    qnv: qnum<2, False, 0>[]; // quantum numeric array
    allocate<6>(qnv);
    repeat (i: qnv.len) { inplace_prepare_int<i + 1>(qnv[i]); }
    res ^= qnv[0] + qnv[1] == qnv[2];  // array subscripts in expressions
  }
  ```

=== "Python"

  [comment]: DO_NOT_TEST
  ```python
  @qfunc
  def main(res: Output[QBit]) -> None:
      allocate(1, res)
      qnv: QArray = QArray("qnv", element_type=QNum[2, False, 0])  # quantum numeric array
      allocate(6, qnv)
      repeat(qnv.len, lambda i: inplace_prepare_int(i + 1, qnv[i]))
      res ^= qnv[0] + qnv[1] == qnv[2]  # array subscripts in expressions
  ```

Interface Changes

1. The classical scope in Qmod no longer supports function definitions.
2. The aer_simulator, aer_simulator_statevector, aer_simulator_density_matrix, and aer_simulator_matrix_product_state Classiq backends are no longer accessible in the SDK. Use simulator, simulator_statevector, simulator_density_matrix, and simulator_matrix_product_state instead.
3. The @struct decorator is deprecated and will be removed in a future
   release. Use @dataclass instead.

Bug Fixes

1. Fixed a bug where multiple in-place assignment statements resulted in a 22102 error.
2. Fixed a bug where using the same variable in control operation for both the control operation and the body resulted in a non-indicative error.
3. Fix invert and within-apply variable initialization tracking in native
   Qmod.
4. Fix division with classical symbolic variables.
5. Fix rogue comma inserted to the chemistry model classical execution code
   after IDE form update.
6. Fix reporting uninitialized quantum variables in arithmetic expressions as
   undefined.
7. Fix double execution on devices requiring access tokens.
8. Fix execution configuration being applied only to the first selected device, when one of the selected devices requires an access token.
9. Fix a bug where Grover circuit was incorrect when reflecting about states different than uniform superposition.
10. Fix a synthesis bug that could appear in models that constrain the width and optimize depth or vice versa.

IDE

1. Graphical Model tab redesign of nodes (Function call, Output, Assignment).
2. Restructure of node categories (Graphical Model).
3. Fix countries list not loading sometimes during registration.
4. Prevent QMOD editor from crashing when compiler crashes.
5. Redesigned the Accordion and Icon status for jobs.
6. Quantum Program tabs moved to the left drawer.
7. Uploading Quantum Program can now be done using the Upload button on the left drawer.
8. 3 newly introduced tabs of Quantum Program data: Transpiled Info, Program Info, Data.

Library Additions

1. A new technology demonstration notebook, treating a discrete quantum walk on a circle,
   was added to the library; see here.
2. New rainbow options pricing notebooks in the public repository research folder.

Classiq 0.42.0

Upgrade Instructions

• Python SDK
• The IDE upgrades automatically.

Bug Fixes

1. Fixed an error related to the translation of certain circuits between synthesis and execution.
2. Fixed an error when calling a function with local variables multiple times.

Enhancements

1. HHL workshop was added to the public repository and to the User Guide.
2. It is now possible to use the execution primitives estimate and vqe with models
   with multiple output ports. The hamiltonian should match all the output ports
   by their order.
3. Amplitude encoding assignments (ind *= foo(n)) support all quantum numeric
   variables, not only unsigned fractions.
4. Add support for lookup tables in amplitude encoding assignments, e.g.,
   ind *= [0, 0.5, 0.5, 1][n] where n is an unsigned quantum integer
   (ind *= subscript([0, 0.5, 0.5, 1], n) in the SDK).
5. A quantum COSINE and SINE transforms of types I and II were added to the open library,
   see Quantum COSINE and SINE Transforms.
6. New algorithm was added to the library: "Variational Quantum Linear Solver (VQLS) with Linear Combination of Unitaries (LCU) Block Encoding"
   Variational Quantum Linear Solver
7. Alice & Bob provider is now accessible.

Interface Changes

1. compute_qaoa_initial_point is now exposed in the SDK directly from classiq package.
   from classiq import compute_qaoa_initial_point
2. The examples in IDE Flow page are replaced with a new arithmetics example.

Bug Fixes

1. Properly evaluate type attributes in main.
   • Native Qmod: qnum's sign field can be specified with lowercase
     true/false in main's signature.
2. Fix execution results received from running on Amazon Braket to be correct
   when the measured outputs are not all of the variables of the model.
3. Improve language error reporting.

IDE

1. Uniform drawer width for all pages
2. New way to trigger node options context menu on Graphical Model page: node options menu can now be triggered by right-clicking a selected node