2 papers
quant-ph2025
BenchRL-QAS: Benchmarking reinforcement learning algorithms for quantum architecture search
Azhar Ikhtiarudin, Aditi Das, Param Thakkar +1
We present BenchRL-QAS, a unified benchmarking framework for reinforcement learning (RL) in quantum architecture search (QAS) across a spectrum of variational quantum algorithm tas…
quant-ph2025
Shot-Efficient ADAPT-VQE via Reused Pauli Measurements and Variance-Based Shot Allocation
Azhar Ikhtiarudin, Gagus Ketut Sunnardianto, Fadjar Fathurrahman +2
The Adaptive Variational Quantum Eigensolver (ADAPT-VQE) is a promising approach for quantum algorithms in the Noisy Intermediate-Scale Quantum (NISQ) era, offering advantages over…