CCZ2TFactory

qualtran.surface_code.CCZ2TFactory

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Magic state factory costs using the model from catalyzed CCZ to 2T paper.

Inherits From: MagicStateFactory

View aliases

Main aliases

`qualtran.surface_code.ccz2t_factory.CCZ2TFactory`

qualtran.surface_code.CCZ2TFactory(
    distillation_l1_d=attr_dict['distillation_l1_d'].default,
    distillation_l2_d=attr_dict['distillation_l2_d'].default
)

Args

distillation_l1_d

Code distance used for level 1 factories.

distillation_l2_d

Code distance used for level 2 factories.

References

Attributes

distillation_l1_d

 

distillation_l2_d

 

Methods

l0_state_injection_error

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l0_state_injection_error(
    error_model: 'LogicalErrorModel'
) -> float

Error rate associated with the level-0 creation of a |T> state.

By using the techniques of Ying Li (https://arxiv.org/abs/1410.7808), this can be done with approximately the same error rate as the underlying physical error rate.

l0_topo_error_t_gate

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l0_topo_error_t_gate(
    error_model: 'LogicalErrorModel'
) -> float

Topological error associated with level-0 distillation.

For a level-1 code distance of d1, this construction uses a d1/2 distance code for storing level-0 T states.

l0_error

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l0_error(
    error_model: 'LogicalErrorModel'
) -> float

Chance of failure of a T gate performed with an injected (level-0) T state.

As a simplifying approximation here (and elsewhere) we assume different sources of error are independent, and we merely add the probabilities.

l1_topo_error_factory

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l1_topo_error_factory(
    error_model: 'LogicalErrorModel'
) -> float

Topological error associated with a L1 T factory.

l1_topo_error_t_gate

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l1_topo_error_t_gate(
    error_model: 'LogicalErrorModel'
) -> float

l1_distillation_error

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l1_distillation_error(
    error_model: 'LogicalErrorModel'
) -> float

The error due to level-0 faulty T states making it through distillation undetected.

The level 1 distillation procedure detects any two errors. There are 35 weight-three errors that can make it through undetected.

l1_error

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l1_error(
    error_model: 'LogicalErrorModel'
) -> float

Chance of failure of a T gate performed with a T state produced from the L1 factory.

l2_error

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l2_error(
    error_model: 'LogicalErrorModel'
) -> float

Chance of failure of the level two factory.

This is the chance of failure of a CCZ gate or a pair of T gates performed with a CCZ state.

n_physical_qubits

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n_physical_qubits() -> int

The number of physical qubits used by the magic state factory.

factory_error

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factory_error(
    n_logical_gates: 'GateCounts', logical_error_model: 'LogicalErrorModel'
) -> float

Error resulting from the magic state distillation part of the computation.

n_cycles

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n_cycles(
    n_logical_gates: 'GateCounts', logical_error_model: 'LogicalErrorModel'
) -> int

The number of error-correction cycles to distill enough magic states.

__ne__

__ne__(
    other
)

Check equality and either forward a NotImplemented or return the result negated.

__eq__

__eq__(
    other
)

Method generated by attrs for class CCZ2TFactory.