Variational Quantum Algorithms
PulseAugur coverage of Variational Quantum Algorithms — every cluster mentioning Variational Quantum Algorithms across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
-
New benchmark HamQASBench evaluates quantum circuit design
Researchers have introduced HamQASBench, a new diagnostic benchmark designed to evaluate Quantum Architecture Search (QAS) methods. Unlike previous benchmarks that focus on molecular identity or qubit count, HamQASBench…
-
Ravines in quantum cost landscapes offer VQA prediction improvements
Researchers have identified and analyzed "ravines" within quantum cost landscapes, which are crucial for the performance of variational quantum algorithms (VQAs). By adapting a nudged elastic band (NEB) algorithm from t…
-
Quantum Kernel Bandit Optimization Balances Expressivity and Learnability
Researchers have developed new methods for Gaussian process bandit optimization using quantum kernels, specifically addressing challenges in the noisy intermediate-scale quantum (NISQ) era. The study focuses on balancin…
-
New framework accelerates search for optimal quantum neural network architectures
Researchers have developed a new framework called MZeQAS for efficiently searching for optimal architectures in Variational Quantum Algorithms (VQAs). This method utilizes a zero-shot surrogate model based on the Quantu…
-
New research explores AI and quantum computing for generative models and control
Researchers are exploring advanced machine learning techniques to enhance quantum computing capabilities. One paper introduces latent-conditioned parameterized quantum circuits (LPQCs) as a universal approximator for qu…