QuantumRandomAccessEncoding#
- class QuantumRandomAccessEncoding(max_vars_per_qubit=3)[fuente]#
Bases:
object
This class specifies a Quantum Random Access Code that can be used to encode the binary variables of a QUBO (quadratic unconstrained binary optimization problem).
- Parámetros:
max_vars_per_qubit (int) – The maximum number of decision variables per qubit. Integer values 1, 2 and 3 are supported (default to 3).
Attributes
- compression_ratio#
Compression ratio. Number of decision variables divided by number of qubits
- frozen#
Whether the object is frozen or not.
- max_vars_per_qubit#
Maximum number of variables per qubit
- minimum_recovery_probability#
Minimum recovery probability, as set by
max_vars_per_qubit
- num_qubits#
Number of qubits
- num_vars#
Number of decision variables
- offset#
Relaxed Hamiltonian offset
- Muestra:
RuntimeError – If the offset has not been set yet. Use the
encode
method to construct the Hamiltonian, or make sure that the objective function has been set.
- problem#
The
QuadraticProgram
encoding a QUBO optimization problem- Muestra:
RuntimeError – If the
QuadraticProgram
has not been set yet. Use theencode
method to set the problem.
- q2vars#
Each element contains the list of decision variable indices encoded on that qubit
- qubit_op#
Relaxed Hamiltonian operator.
- Muestra:
RuntimeError – If the objective function has not been set yet. Use the
encode
method to construct the Hamiltonian, or make sure that the objective function has been set.
- var2op#
Maps each decision variable to
(qubit_index, operator)
Methods
- encode(problem)[fuente]#
Encodes a given
QuadraticProgram
as a (n,1,p) Quantum Random Access Code (QRAC) relaxed Hamiltonian. It accomplishes this by mapping each binary decision variable to one qubit of the QRAC. The encoding is designed to ensure that the problem’s objective function commutes with the QRAC encoding.- After the function is called, it sets the following attributes:
qubit_op: The qubit operator that encodes the input
QuadraticProgram
.offset: The constant value in the encoded Hamiltonian.
problem: The original
QuadraticProgram
used for encoding.
- Inputs:
problem: A
QuadraticProgram
encoding a QUBO optimization problem
- Muestra:
QiskitOptimizationError – If this method is called more than once on the same object.
QiskitOptimizationError – If the problem contains non-binary variables.
QiskitOptimizationError – If the problem contains constraints.
- freeze()[fuente]#
Freeze the object to prevent further modification.
Once an instance of this class is frozen,
encode
can no longer be called.
- state_preparation_circuit(x)[fuente]#
Generate a circuit that prepares the state corresponding to the given binary string.