Results 281 to 290 of about 1,507,877 (336)
Separation effectiveness of ideal ion exchange membranes: Application of the Gibbs-Donnan theory. [PDF]
PLoS OneWaniewski J, Pstras L, Pietribiasi M.
europepmc +1 more source
Transcendental Brauer-Manin obstructions on singular K3 surfaces. [PDF]
Res Number TheoryAlaa Tawfik M, Newton R.
europepmc +1 more source
Irradiated Coherent States in Magnetoresistance of 2D Electron Systems
physica status solidi (b), EarlyView.A theoretical approach on the microwave‐induced resistance oscillations based on the coherent states of the quantum harmonic oscillator is reported. The coherent state expression for the quantum oscillator under a time‐dependent force is calculated. It is found that the principle of minimum uncertainty of coherent states, involving time and energy, is ...
Jesús Iñarrea, Gloria Platero
wiley +1 more source
Advanced Quantum Technologies, EarlyView.The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini +2 more
wiley +1 more source
Advantage of Non‐Gaussian Operations in Phase Estimation via Mach–Zehnder Interferometer
Advanced Quantum Technologies, EarlyView.This research delves into the advantages rendered by probabilistic non‐Gaussian operations in phase estimation, using Mach–Zehnder interferometers with difference‐intensity and parity detection measurement schemes. An experimentally viable scheme is considered to implement three distinct non‐Gaussian operations, namely, photon subtraction, photon ...
Manali Verma +3 more
wiley +1 more source
What can we Learn from Quantum Convolutional Neural Networks?
Advanced Quantum Technologies, EarlyView.Quantum Convolutional Neural Networks have been long touted as one of the premium architectures for quantum machine learning (QML). But what exactly makes them so successful for tasks involving quantum data? This study unlocks some of these mysteries; particularly highlighting how quantum data embedding provides a basis for superior performance in ...
Chukwudubem Umeano +3 more
wiley +1 more source
Qoolchain: A QUBO Preprocessing Toolchain for Enhancing Quantum Optimization
Advanced Quantum Technologies, EarlyView.This study introduces Qoolchain, a QUBO preprocessing toolchain developed in Cython to reduce problem size and enhance optimization solvers' performance, particularly for Grover Adaptive Search (GAS). Qoolchain includes persistency identification, decomposition, and probing to estimate function bounds, all with polynomial complexity and applies Grover ...
Giacomo Orlandi +3 more
wiley +1 more source
Efficient Simulation of Open Quantum Systems on NISQ Trapped‐Ion Hardware
Advanced Quantum Technologies, EarlyView.Open quantum systems exhibit rich dynamics that can be simulated efficiently on quantum computers, allowing us to learn more about their behavior. This work applies a new method to simulate certain open quantum systems on noisy trapped‐ion quantum hardware.
Colin Burdine +3 more
wiley +1 more source
Parameter Estimation and Identifiability in Kinetic Flux Profiling Models of Metabolism. [PDF]
Bull Math BiolGuppy B, Mitchell C, Taylor EB.
europepmc +1 more source