Documentation for BGLS

Guide

• Getting started
  • Quick start
  • More detail: How to create a bgls.Simulator
  • When to use the bgls.Simulator
• When to use BGLS
  • The short answer
  • Understanding the cost
  • Examples
• Using custom states with BGLS
  • Setup
  • Defining a custom state
  • Defining how to apply_ops
  • Defining how to compute_probability
  • Using with BGLS
• Features
  • Accessing final states
  • Simulating noisy circuits
  • Simulating circuits with intermediate measurements
  • Can I use BGLS with Qiskit / Pennylane / etc.?
• How BGLS works
  • Qubit-by-qubit sampling
  • Gate-by-gate sampling
  • References
• Tips for using BGLS
  • Optimizing circuits

Examples

• Using BGLS on Clifford and near-Clifford circuits
• Using BGLS to sample from Matrix Product State Circuits
  • Running on BGLS
• Using BGLS with MPS to solve QAOA problems

Indices and tables

• Index

• Module Index

• Search Page

Bgls Simulator

class bgls.Simulator(initial_state: State, apply_op: Callable[[Operation, State], None], compute_probability: Callable[[State, str], float], seed: Any = None)

run(program: cirq.AbstractCircuit, param_resolver: cirq.ParamResolverOrSimilarType = None, repetitions: int = 1) → cirq.Result

Samples from the given Circuit.

This mode of operation for a sampler will provide results in the form of measurement outcomes. It will not provide access to state vectors (even if the underlying sampling mechanism is a simulator). This method will substitute parameters in the param_resolver attributes for sympy.Symbols used within the Circuit. This circuit will be executed a number of times specified in the repetitions attribute, though some simulated implementations may instead sample from the final distribution rather than execute the circuit each time.

Args:

program: The circuit to sample from. param_resolver: Parameters to run with the program. repetitions: The number of times to sample.

Returns:

cirq.Result that contains all the measurements for a run.