Barren plateaus are stretches of the quantum algorithm optimization landscape so unnervingly flat that gradient‑based methods ...

Los Alamos National Laboratory has led the world in trying to understand one of the most frustrating barriers that faces ...

including limited qubit numbers and noise processes that limit circuit depth. Variational Quantum Algorithms (VQAs), which employ a classical optimizer to train a parametrized quantum circuit, have ...

Scientists published the Cascaded Variational Quantum Eigensolver (CVQE) algorithm in a recent article, expected to become a powerful tool to investigate the physical properties in electronic systems.

"We use machine learning to create a quantum circuit that can approximate ... quantum coherence breaks down." The Variational Fast Forwarding (VFF) algorithm that the Los Alamos researchers ...

based on variational quantum algorithms, significantly reduces the computational complexity of parameter updates through deep optimization of the core circuit. It also incorporates innovative ...

Exactly equivalent: Quantum adiabatic and quantum circuit algorithms should take the same time to run (Courtesy: iStock/Devrimb) Practical quantum computers could be one step closer thanks to ...

The CVQE algorithm is a variant of the Variational Quantum Eigensolver (VQE) algorithm that only requires the execution of a set of quantum circuits once rather than at every iteration during the ...