Description Usage Arguments Details Value following See Also
View source: R/sampling_simulations.R
Creates a copy of 'val' with any symbols or expressions replaced with new symbols.
1 | flatten_with_params(val, ..., params)
|
val |
The value to copy and substitute parameter expressions with flattened symbols. |
... |
additional parameters to pass. |
params |
A dictionary or 'ParamResolver' where the keys are 'sympy.Symbol's used by 'val' and the values are numbers. |
'val' can be a 'Circuit', 'Gate', 'Operation', or other type. Also transforms a dictionary of symbol values for 'val' to an equivalent dictionary mapping the new symbols to their evaluated values. 'flatten_with_params' goes through every parameter in 'val' and does the following: - If the parameter is a number, don't change it. - If the parameter is a symbol, don't change it and use the same symbol with the same value in the new dictionary of symbol values. - If the parameter is an expression, replace it with a symbol and use the new symbol with the evaluated value of the expression in the new dictionary of symbol values. The new symbol will be ‘sympy.Symbol(’<x + 1>')' if the expression was ‘sympy.Symbol(’x') + 1'. In the unlikely case that an expression with a different meaning also has the string ''x + 1'', a number is appended to the name to avoid collision: ‘sympy.Symbol(’<x + 1>_1')'.
The list (new value, new params) where new value is 'val' with flattened expressions and new params is a dictionary mapping the new symbols like ‘sympy.Symbol(’<x + 1>')‘ to numbers like 'params[’x'] + 1'.
- If the parameter is a number, don't change it. - If the parameter is a symbol, don't change it and use the same symbol with the same value in the new dictionary of symbol values. - If the parameter is an expression, replace it with a symbol and use the new symbol with the evaluated value of the expression in the new dictionary of symbol values. The new symbol will be ‘sympy.Symbol(’<x + 1>')‘ if the expression was 'sympy.Symbol(’x') + 1'. In the unlikely case that an expression with a different meaning also has the string ''x + 1'', a number is appended to the name to avoid collision: ‘sympy.Symbol(’<x + 1>_1')'.
Other Sampling, Simulations and Data collection:
big_endian_bits_to_int()
,
big_endian_digits_to_int()
,
big_endian_int_to_bits()
,
big_endian_int_to_digits()
,
circuit_like()
,
final_density_matrix()
,
final_wavefunction()
,
flatten_to_ops_or_moments()
,
flatten_to_ops()
,
flatten_with_sweep()
,
flatten()
,
hog_score_xeb_fidelity_from_probabilities()
,
measure_density_matrix()
,
measure_state_vector()
,
random_state_or_seed_like()
,
sample_density_matrix()
,
sample_state_vector()
,
sample_sweep()
,
sample()
,
to_resolvers()
,
to_sweep()
,
validate_mixture()
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