QeX

Library for supproting following experiments with sequence_parser.

Supported experimetns

• Randomized benchmarking
• Quantum tomograpy & Direct fidelity estimation
• Variational quantum gate optimization
• Variational quantum eigensolver
• Subspace-search variational quantum eigensolver

Example

from sequence_parser import Circuit
from QeX.util.group import CliffordGroup
from QeX.experiments import RandomizedBenchmarking

# 1. Import Circuit from "sequence_parser"
cir = Circuit(backend)

# 2. Declare the experiment
rb = RandomizedBenchmarking(
  circuit       = cir,
  group         = CliffordGroup(1),
  sequence_list = [(0,10,1000), (2,10,1000), (4,10,1000)],
  seed          = 0,
  interleaved   = None
)

# 3. Define take_data function to meet with your envirionment
def take_data(job_table):
  pass
  
# 4. Execute experiments
rb.execute(take_data)

# 5. Make & Show the report
rb.make_data_table()
rb.make_report()
rb.show_report()