pytket.phir.sharding package

Submodules

pytket.phir.sharding.shard module

class pytket.phir.sharding.shard.Shard(primary_command: Command, sub_commands: dict[UnitID, list[Command]], qubits_used: set[Qubit], bits_written: set[Bit], bits_read: set[Bit], depends_upon: set[int])

Bases: object

The Shard class.

A shard is a logical grouping of operations that represents the unit by which we actually do placement of qubits.

ID: int

bits_read: set[Bit]

bits_written: set[Bit]

depends_upon: set[int]

pretty_print() → str

Returns the shard in a human-friendly format.

primary_command: Command

qubits_used: set[Qubit]

sub_commands: dict[UnitID, list[Command]]

pytket.phir.sharding.sharder module

class pytket.phir.sharding.sharder.Sharder(circuit: Circuit)

Bases: object

The Sharder class.

Responsible for taking in a circuit in TKET representation and converting it into shards that can be subsequently handled in the compilation pipeline.

shard() → list[Shard]

Performs sharding algorithm on the circuit the Sharder was initialized with.

Returns:

list of Shards needed to schedule

static should_op_create_shard(op: Op) → bool

Decide whether to create a shard.

This includes non-gate operations like measure/reset as well as 2-qubit gates.

Parameters:

op – operation

Returns:

True if the operation is one that should result in shard creation

pytket.phir.sharding.shards2ops module

pytket.phir.sharding.shards2ops.get_qid(qubit: UnitID, qubits2ids: dict[UnitID, int], qid_count: int) → tuple[int, int]

Get qubit ID even if it is missing in the dict.

pytket.phir.sharding.shards2ops.parse_shards_naive(shards: set[Shard]) → tuple[list[list[list[int]]], list[ShardLayer]]

Parse a set of shards and return a circuit representation for placement.

Module contents