# Quantum compiling on locally adjusted circuits of designated architecture

@article{Singh2019QuantumCO, title={Quantum compiling on locally adjusted circuits of designated architecture}, author={Rahul Pratap Singh and Aikaterini Mandilara}, journal={arXiv: Quantum Physics}, year={2019} }

We propose a method for compiling arbitrary $n$-qubit gates via circuits of fixed architecture supplemented with a sufficient number of adjustable single-qubit operations. The circuits are tested against efficiency requirements and then a method for identifying the parameters of the single-qubit operations is applied. The latter extends quantum control techniques developed by G. Harel and V. Akulin $\left[\right.$Phys.Rev.Lett. 82, 1 (1999)$\left.\right]$ and stays computationally tractable for…

## 2 Citations

### Variational quantum compiling with double Q-learning

- Computer ScienceArXiv
- 2021

A variational quantum compiling (VQC) algorithm based on reinforcement learning is proposed in order to automatically design the structure of quantum circuit for VQC with no human intervention, and can reduce the errors of quantum algorithms due to decoherence process and gate noise in NISQ devices, and enable quantum algorithms especially for complex algorithms to be executed within coherence time.

### Quantum Architecture Search with Meta‐Learning

- Computer ScienceAdvanced Quantum Technologies
- 2022

Simulation results on variational quantum compiling (VQC) and quantum approximate optimization algorithm (QAOA) show that the architectures optimized by MetaQAS converge faster than a state‐of‐the‐art gradient‐based QAS algorithm, namely DQAS.

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