# Decompose native gates using Qiskit framework [closed]

I've read the papers about quantum hardware. These papers [1] [2] mention that native gates of IBM quantum computer are $$R_x(\pi/2), R_z(\lambda)\space and \space CR \space (Cross Resonance)$$

My questions are:

1. Getting native gates in qikit, we use transpile(). So, does "rx" does it equal to $$R_x(\pi/2)$$?
2. How to decompose CX to CR gates from that transpile()?
3. For Ion trapped native qubits, there is $$Rxy(\theta,\phi)$$, so does it equal to "rx" and "ry" in transpile() ?

Code example:

from qiskit import QuantumCircuit, transpile
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0,1)
qc = transpile(qc, basis_gates=['rx', 'ry', 'cx'])
print(qc)


About the native gates on IBM Quantum computers, you can see for example on ibmq_bogota here that the basis gates are CX, ID, RZ, SX, X :

• CX is the usual 2-qubits CNOT gate;
• ID is the single qubit identity gate;
• X is the single qubit NOT gate and SX is its square root;
• RZ is the single qubit rotation about the Z-axis, see here its definition, and it is the single parameterised gate of the basis gates set so technically it will be $$RZ(\lambda)$$ but we'll denote it via RZ by misuse of language since it's clear it is $$RZ(\lambda)$$.

To sum up you'll have to pass basis_gates=['cx', 'id', 'rz', 'x', 'sx'] to the transpiler to use basis gates of ibm machines.

Now about $$R_{X,Y}$$ I can't seem to find it on qiskit but if its definition is similar to $$R_{Z,X}$$ then by using this kind of tools you can implement it easily I think.

Finally, if you wish to play more with hardware, then you might be interested in qiskit pulse, see some tutos in the documentation or the textbook.