Tag: NISQ era

A new quantum distortion modeling framework enables variational quantum algorithms to tolerate hardware errors without traditional error correction by managing ...

A new algorithm called RO-VQE uses randomized orbital sampling to achieve ground-state energy accuracy comparable to systematic methods in quantum ...

Researchers in the Czech Republic have unveiled an unambiguous variational quantum classifier that reaches 90 percent accuracy on a breast ...

Researchers have developed QuanONet, a quantum neural operator proven to achieve quadratic expressivity that outperforms quantum baselines and matches classical ...

Researchers have unveiled a framework that trains personalized quantum classifiers across many users while each label is privatized locally, guaranteeing ...

Researchers have shown that quantum annealers can train variational quantum algorithms by recasting parameter optimization as a QUBO problem, achieving ...