Quantum optimization: Potential, challenges, and the path forward
Recent advances in quantum computers are demonstrating the ability to solve problems at a
scale beyond brute force classical simulation. As such, a widespread interest in quantum …
scale beyond brute force classical simulation. As such, a widespread interest in quantum …
Pre-optimizing variational quantum eigensolvers with tensor networks
The variational quantum eigensolver (VQE) is a promising algorithm for demonstrating
quantum advantage in the noisy intermediate-scale quantum (NISQ) era. However …
quantum advantage in the noisy intermediate-scale quantum (NISQ) era. However …
Robust M {\o} lmer-S {\o} rensen Gate Against Symmetric and Asymmetric Errors
W Zhang, G Tang, K Liu, X Yuan, Y Shen, Y Wu… - arxiv preprint arxiv …, 2025 - arxiv.org
To achieve the entangling gate fidelity above the quantum error correction threshold, it is
critical to suppress errors due to experimental imperfection. We consider the M\o lmer-S\o …
critical to suppress errors due to experimental imperfection. We consider the M\o lmer-S\o …
Promise of Graph Sparsification and Decomposition for Noise Reduction in QAOA: Analysis for Trapped-Ion Compilations
We develop new approximate compilation schemes that significantly reduce the expense of
compiling the Quantum Approximate Optimization Algorithm (QAOA) for solving the Max-Cut …
compiling the Quantum Approximate Optimization Algorithm (QAOA) for solving the Max-Cut …
Entropic property of randomized QAOA circuits
AY Chernyavskiy, BI Bantysh… - Laser Physics …, 2023 - iopscience.iop.org
Quantum approximate optimization algorithm (QAOA) aims to solve discrete optimization
problems by sampling bitstrings using a parameterized quantum circuit. The circuit …
problems by sampling bitstrings using a parameterized quantum circuit. The circuit …
Entropic property of randomized QAOA circuits
AY Chernyavskiy, BI Bantysh, YI Bogdanov - arxiv preprint arxiv …, 2023 - arxiv.org
Quantum approximate optimization algorithm (QAOA) aims to solve discrete optimization
problems by sampling bitstrings using a parameterized quantum circuit. The circuit …
problems by sampling bitstrings using a parameterized quantum circuit. The circuit …