Page
%P
-
Article
Open AccessExponential concentration in quantum kernel methods
Kernel methods in Quantum Machine Learning (QML) have recently gained significant attention as a potential candidate for achieving a quantum advantage in data analysis. Among other attractive properties, when ...
-
Article
Open AccessTheoretical guarantees for permutation-equivariant quantum neural networks
Despite the great promise of quantum machine learning models, there are several challenges one must overcome before unlocking their full potential. For instance, models based on quantum neural networks (QNNs) ...
-
Article
Open AccessA semi-agnostic ansatz with variable structure for variational quantum algorithms
Quantum machine learning—and specifically Variational Quantum Algorithms (VQAs)—offers a powerful, flexible paradigm for programming near-term quantum computers, with applications in chemistry, metrology, mate...
-
Article
Open AccessQuantum algorithms for geologic fracture networks
Solving large systems of equations is a challenge for modeling natural phenomena, such as simulating subsurface flow. To avoid systems that are intractable on current computers, it is often necessary to neglec...
-
Article
Open AccessVariational quantum state eigensolver
Extracting eigenvalues and eigenvectors of exponentially large matrices will be an important application of near-term quantum computers. The variational quantum eigensolver (VQE) treats the case when the matri...
-
Article
Challenges and opportunities in quantum machine learning
At the intersection of machine learning and quantum computing, quantum machine learning has the potential of accelerating data analysis, especially for quantum data, with applications for quantum materials, bi...
-
Article
Open AccessGeneralization in quantum machine learning from few training data
Modern quantum machine learning (QML) methods involve variationally optimizing a parameterized quantum circuit on a training data set, and subsequently making predictions on a testing data set (i.e., generaliz...
-
Article
Open AccessNoise-induced barren plateaus in variational quantum algorithms
Variational Quantum Algorithms (VQAs) may be a path to quantum advantage on Noisy Intermediate-Scale Quantum (NISQ) computers. A natural question is whether noise on NISQ devices places fundamental limitations...
-
Article
Variational quantum algorithms
Applications such as simulating complicated quantum systems or solving large-scale linear algebra problems are very challenging for classical computers, owing to the extremely high computational cost. Quantum ...
-
Article
Open AccessCost function dependent barren plateaus in shallow parametrized quantum circuits
Variational quantum algorithms (VQAs) optimize the parameters θ of a parametrized quantum circuit V(θ) to minimize a cost function C. While VQAs may enable practical applications of noisy quantum computers, they ...
-
Chapter
Quantum Discord and Entropic Measures of Quantum Correlations: Optimization and Behavior in Finite XY Spin Chains
We discuss a generalization of the conditional entropy and one-way information deficit in quantum systems, based on general entropic forms. The formalism allows to consider simple entropic forms for which a cl...
-
Article
Open AccessMetformin inhibits melanoma development through autophagy and apoptosis mechanisms
Metformin is the most widely used antidiabetic drug because of its proven efficacy and limited secondary effects. Interestingly, recent studies have reported that metformin can block the growth of different tu...
-
Article
Aquifer Contamination by Nitrogen After Sewage Sludge Fertilization
-
Article
Characterization and regulation of ammonium transport systems in Citrus plants
We have investigated both the kinetics and regulation of 15NH4 + influx in roots of 3-month-old hydroponically grown Citrus (Citrus sinensis L. Osbeck × Poncirus trifoliata Blanco) seedli...
-
Book
-
Article
Possible reuse of treated municipal wastewater for Citrus spp. Plant Irrigation
-
Article
Session 22 other topics
-
Article
Session 12 Root physiology and mineral nutrition
-
Book
