Target

class arline_benchmarks.targets.target.GateChainTarget(config={})

Bases: arline_benchmarks.targets.target.Target

static from_config(config)

next()

seed(seed=None)

task = 'circuit_transformation'

class arline_benchmarks.targets.target.QasmChainTarget(config)

Bases: arline_benchmarks.targets.target.GateChainTarget

Qasm Chain Target Class

Description:

Generates target quantum circuits (gate chains) from a .qasm dataset. QASM circuits are stored in folder arline_benchmarking/benchmarking/circuits.

algo = 'qasm'

static from_config(config)

next()

seed(seed=None)

task = 'circuit_transformation'

class arline_benchmarks.targets.target.RandomChainTarget(config)

Bases: arline_benchmarks.targets.target.GateChainTarget

Random Chain Target Class

Description:

Generates random quantum circuits (gate chains) from a discrete gateset Supports two types of gate probability distribution in the target generator:

• Uniform distribution (all gate placements have equal probabilities)
• Custom probability distribution for each gate placement [e.g. action_probabilities = {“CX_01”: 0.1, “CX_10”: 0.2, “S_0”: 0.5, “S_1”: 0.2}]

Additional optional arguments:

• Depth limit - maximum depth of generated circuits
• Two qubit gate count upper bound
• Two qubit gate count lower bound
• Total gate count (gate_chain_length)

algo = 'random_chain'

static from_config(config)

next()

seed(seed=None)

task = 'circuit_transformation'

class arline_benchmarks.targets.target.Target(config={})

Bases: object

Abstract class for benchmarking target circuits

static from_config(config)

next()

seed(seed=None)

arline_benchmarks.targets.target.limit_targets_number(f)

Limits total number of generated circuits (<=number), f is the target generator