I would like to know if it is possible implement the following situation in Qiskit (either using the simulators or real quantum computers).

Consider this illustrative toy example:

The arrows illustrate that the outcomes $$\{\sigma_1,...,\sigma_i\}$$ determine the unitaries $$U_j$$ for $$j=i+1,...,n$$. That is, the idea is that the unitary $$U_2$$ can only be determined once the outcome $$\sigma_1$$ is known, then the unitary $$U_3$$ can be determined once $$\sigma_1$$ and $$\sigma_2$$ are known, and so on and so forth as we move along the circuit.

The main idea and difficulty is precisely that we do not know the unitaries a priori and need to calculate them from the previous outcomes. (Note that determining all the possible unitary sequences before we start the computation would mean $$2^n$$ possible sequences for a computation with $$n$$ layers.)

So basically, I need Qiskit to run the blue box, do the first measurement and stay in "stand-by" (so to speak) while I determine what $$U_2$$ is. Once I have that information I would have to append $$U_2$$ to the previous circuit and execute this new portion of the circuit alone (i.e. without running the previous one again!). (If Qiskit re-executes the first block again, it might get the wrong outcome for $$\sigma_1$$ and everything will be ruined). Is this possible at all? If not: (i) what is the next best thing? and (ii) is there a prediction for when such functionality will be available and in which shape?

Thank you all!

EDIT: I seem to be looking for this: https://www.ibm.com/blogs/research/2021/02/quantum-phase-estimation/ ("dynamic quantum circuits"). There is also the arxiv pre-print reporting this: https://arxiv.org/abs/2102.01682. Now, I need only understand if this is a functionality that is accessible to general IBMQ users like myself, or if it is still to be made available.

Particularly, what I want is what the authors call "real-time compute" or "classical real-time logic". Because what I want to write is an algorithm that requires a dynamic circuit, not a static one.

I think the concept you are searching for is classically controlled gate, also known as conditional gate.

A conditional gate only has an effect if a classical value matches a predefine result. In your case, $$U2$$ is conditioned by $$\sigma_1$$, for example.

You can model that in Qiskit in the following way.

First, define your $$U$$s

from qiskit import QuantumCircuit
U1 = QuantumCircuit(4, name="U1")
U1.cx(0, 3)
U1.cx(1, 3)
U1.cx(2, 3)

U2 = QuantumCircuit(8, name="U2")

U3 = QuantumCircuit(12, name="U3")


Then, compose your circuit. Pay special attention to U2 and U3, where the c_if method makes them classically controlled:

from qiskit import ClassicalRegister, QuantumRegister

psi = QuantumRegister(12, name="psi")
sigma_1 = ClassicalRegister(1, name="sigma_1")
sigma_2 = ClassicalRegister(1, name="sigma_2")

circuit = QuantumCircuit(psi, sigma_1, sigma_2)
circuit.append(U1.to_gate(), range(4))
circuit.measure(3, 0)
circuit.append(U2.to_gate().c_if(sigma_1, 1), range(8))
circuit.measure(7, 1)
circuit.append(U3.to_gate().c_if(sigma_2, 1), range(12))
print(circuit)

           ┌─────┐   ┌─────┐   ┌──────┐
psi_0: ┤0    ├───┤0    ├───┤0     ├
│     │   │     │   │      │
psi_1: ┤1    ├───┤1    ├───┤1     ├
│  U1 │   │     │   │      │
psi_2: ┤2    ├───┤2    ├───┤2     ├
│     │┌─┐│     │   │      │
psi_3: ┤3    ├┤M├┤3    ├───┤3     ├
└─────┘└╥┘│  U2 │   │      │
psi_4: ────────╫─┤4    ├───┤4     ├
║ │     │   │      │
psi_5: ────────╫─┤5    ├───┤5     ├
║ │     │   │   U3 │
psi_6: ────────╫─┤6    ├───┤6     ├
║ │     │┌─┐│      │
psi_7: ────────╫─┤7    ├┤M├┤7     ├
║ └──╥──┘└╥┘│      │
psi_8: ────────╫────╫────╫─┤8     ├
║    ║    ║ │      │
psi_9: ────────╫────╫────╫─┤9     ├
║    ║    ║ │      │
psi_10: ────────╫────╫────╫─┤10    ├
║    ║    ║ │      │
psi_11: ────────╫────╫────╫─┤11    ├
║ ┌──╨──┐ ║ └──╥───┘
sigma_1: 1/════════╩═╡ = 1 ╞═╬════╬════
0 └─────┘ ║ ┌──╨──┐
sigma_2: 1/══════════════════╩═╡ = 1 ╞═
0 └─────┘


Notice that U2 is executed only if the value in sigma_1 is 1. Similarly, U3 has effect if sigma_2 is 1.

• It is also important to mention that this is not implemented on real hardware yet. IBM implements mid-circuit measurement, but I do not think that you can use the result of the measurement to change the circuit executed. Jun 19, 2021 at 8:59
• @luciano Thank you for the attempt but that is not what I am searching for. Three reasons: 1. I don't know the unitaries $U_i$ beforehand (i.e., before I run the circuit). I have to "learn" them as I go along. (Think one-way model of MBQC if it helps). 2. At each point, it is not that I apply $U_2$ if $\sigma_1=1$, it is that I applied that if $\sigma_1=1$ or $U_2^{\prime}$ if $\sigma_1=0$. 3. If there are $n$ such unitaires, the $n$-th unitary does not depend solely on $\sigma_{n-1}$ but rather on the whole sequence {$\sigma_1$,...,$\sigma_{n-1}$}.
– fcrp
Jun 20, 2021 at 8:54
• What I need is to execute the circuit in blocks as I go along learning the next unitary and incrementing the circuit with it.
– fcrp
Jun 20, 2021 at 9:01

IBM's Development Roadmap indicates that dynamic quantum circuits will be available by the end of 2022. See here: