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I need the unitary matrix for a full adder. I want to assess how an automatically generated circuit is close to the full adder. Therefore,I need a unitary matrix for the full adder. I believe it should be $2^5 \times 2^5$ (two inputs, two outputs and one carry out). Does anyone have this unitary matrix for the full adder?

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  • $\begingroup$ Welcome to QCSE. Your question seems similar to this one. Or are you asking more about converting an arbitrary truth table specifically into a unitary matrix? $\endgroup$
    – Mark Spinelli
    Commented Jan 4, 2023 at 23:45
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    $\begingroup$ Also, please try to avoid postings that use phrases like "I need", as it sounds demanding of volunteers' time. I recommend you edit your posting by clicking on the button next to "Share", to remove the words "I need", and replace them with "I would like". Thanks! $\endgroup$
    – Mark Spinelli
    Commented Jan 4, 2023 at 23:47

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A full adder is usually depicted like this, with 1-bit inputs, sum, and carry:

enter image description here

A simple quantum circuit for the corresponding truth table could be drawn like this:

enter image description here

In my own code base, this translates into this code:

  psi = ops.Cnot(0, 3)(psi, 0)
  psi = ops.Cnot(1, 3)(psi, 1)
  psi = ops.ControlledU(0, 1, ops.Cnot(1, 4))(psi, 0)
  psi = ops.ControlledU(0, 2, ops.Cnot(2, 4))(psi, 0)
  psi = ops.ControlledU(1, 2, ops.Cnot(2, 4))(psi, 1)
  psi = ops.Cnot(2, 3)(psi, 2)
  return psi

This code applies the gates one after the other. So in order to obtain a single big matrix you have to multiply all the gates together in reverse order and properly pad them to 5 qubits, as in the following (assuming I didn't make a mistake here), where * denotes the Kronecker product and @ is matrix multiply:

  M = ((ops.Identity(2) * ops.Cnot(2, 3) * ops.Identity(1)) @
       (ops.Identity(1) * ops.ControlledU(1, 2, ops.Cnot(2, 4))) @
       (ops.ControlledU(0, 2, ops.Cnot(2, 4))) @
       (ops.ControlledU(0, 1, ops.Cnot(1, 4))) @
       (ops.Identity(1) * ops.Cnot(1, 3) * ops.Identity(1)) @
       (ops.Cnot(0, 3) * ops.Identity(1)) )

The resulting matrix is $2^5 \times 2^5$ and looks something like:

Operator for 5-qubit state space. Tensor:
[[1.+0.j 0.+0.j 0.+0.j ... 0.+0.j 0.+0.j 0.+0.j]
 [0.+0.j 1.+0.j 0.+0.j ... 0.+0.j 0.+0.j 0.+0.j]
 [0.+0.j 0.+0.j 1.+0.j ... 0.+0.j 0.+0.j 0.+0.j]
 ...
 [0.+0.j 0.+0.j 0.+0.j ... 0.+0.j 1.+0.j 0.+0.j]
 [0.+0.j 0.+0.j 0.+0.j ... 1.+0.j 0.+0.j 0.+0.j]
 [0.+0.j 0.+0.j 0.+0.j ... 0.+0.j 0.+0.j 0.+0.j]]

This should be relatively simple to achieve in other infrastructures, such as Qiskit. Hope this helps.

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A quantum circuit for the full adder is illustrated here:

https://www.quantum-inspire.com/kbase/full-adder/

I think you can easily compute the corresponding unitary matrix.

A study on the implementation of adders is reported in the following recent article:

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9655478

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  • $\begingroup$ thanks, but i font know hot to get the unitary matrix from this circuit. is there any python code? $\endgroup$
    – AMZ
    Commented Jan 4, 2023 at 12:14

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