Exploring the Potential of Dynamic Quantum Circuit for Improving Device Scalability

In this work we have presented design for scalability (DFS) for compiling dynamic quantum circuits in order to execute them on centralized monolithic or distributed environment. Dynamic quantum circuits allow the usage of mid-circuit measurement, active reset and classically controlled quantum operations for circuit designs. Since, quantum algorithms solving practical complex problems involve thousands of qubits that a targeted computing environments may not provide, it has become crucial to seek for schemes that enable dynamic circuit realization of such algorithms using less number of qubits to make them executable on the selected hardware platforms. To this end we have considered two different quantum circuits representing Bernstein–Vazirani Algorithm (BVA) and Variational Quantum Circuit (VQC) for deep Q network, and two computing environments, monolithic and distributed for framing our design solutions. For the monolithic environment we have shown that using only two qubits dynamic version of both these BVA and VQC are achievable. In the distributed environment with quantum communication channel being in place, the corresponding distributed design are also obtained by employing one or more such communication channels. We have also shown that even with structural similarities between the worst-case BVA (featuring a secret string of all 1s) and the VQC, the design alternatives might differ depending on the noise level of the chosen distributed hardware platform.