Latest Articles for Quantum Computing

Exploring magic states and gates in measurement-based quantum computation.

A deep learning model inspired by quantum mechanics improves text sentiment analysis.

This study explores quantum computing's role in simulating nuclear processes.

Researchers reveal new interactions between superconductivity and magnetism in Kondo bilayers.

Exploring error correction and entanglement in modular quantum computers.

A new approach simplifies hidden shift circuits for faster classical simulation.

Research tackles phonon-induced errors in spin qubits for better quantum computing.

Examining how slow evolution affects information scrambling in quantum systems.

Researchers introduce a symmetry-based approach to study chiral topological phases and anyons.

Exploring the transition between fluid-like and structured electron states in two-dimensional materials.

This article examines quantum computing's role in improving manufacturing shift scheduling.

Exploring the cooling capabilities of Kitaev magnets and their potential applications.

Exploring the transmission of classical information via quantum channels.

Leveraging deep learning for optimized pulse waveforms in quantum circuits.

Exploring how quantum computing can transform power system management and efficiency.

Leveraging quantum machine learning to enhance cybersecurity vulnerability analysis.

QGNNs offer innovative ways to model and predict molecular properties using quantum mechanics.

This article examines the smallest sets of Pauli operators for efficient quantum computation.

A look at the new iterated quantum signal processing method and its applications.

Research reveals how open quantum systems interact and transition between phases.

Research on hole spin qubits shows promise for quantum computing technology.

New methods in quantum computing improve energy calculations for materials at the atomic level.

A study on algorithm performance for the Max-Cut problem.

This article explores methods to optimize quantum circuit design for better performance.

DULQA improves problem-solving by learning from experience and adapting to challenges.

A new method combines explicit and implicit models for better predictions.

A new method for resource estimation in quantum computing circuits.

Researchers combine VQE and DBQA for better ground state preparation in quantum systems.

Examining the impact of geometric frustration on particle interactions and motion.

Researchers reveal new methods for controlling spin waves in magnetic nanostructures.

A deep dive into quantum algorithms and their role in solving complex problems.

Machine learning streamlines solver selection for quantum optimization.

This article discusses recoil-free quantum gates using optical qubits for better fidelity.

A model revealing how electrons move in and out of quantum dots.

This study examines quantum cellular automata classifications for future quantum computing applications.

New methods enhance study of dark states in materials.

A look into how decoherence affects quantum systems and their symmetries.

Discovering how edge modes influence new technologies in topologically ordered materials.

This study connects two quantum models for better understanding of their interactions.

A look at Sequential Hamiltonian Assembly for training parameterized quantum circuits.