Results 241 to 250 of about 17,761 (290)

Designing Majorana Quasiparticles in InAsP Quantum Dots in InP Nanowires with Variational Quantum Eigenvalue Solver

open access: yesphysica status solidi (b), Volume 262, Issue 7, July 2025.
This work explores the design of Majorana zero modes in InAsP quatum dots within InP nanowires coupled to a p‐type superconductor. Using atomistic calculations, exact diagonalization, and the variational quantum eigensolver (VQE) method, a variational ansatz for capturing ground state in the topological phase is introduced.
Mahan Mohseni   +7 more
wiley   +1 more source

What can we Learn from Quantum Convolutional Neural Networks?

open access: yesAdvanced Quantum Technologies, Volume 8, Issue 7, July 2025.
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

Photon Number Coherence in Quantum Dot‐Cavity Systems can be Enhanced by Phonons

open access: yesAdvanced Quantum Technologies, Volume 8, Issue 7, July 2025.
Photon number coherence (PNC) is important for quantum cryptography. Because of that, the PNC within a quantum dot‐cavity system is investigated theoretically. Phonons, which interact with the quantum dot, surprisingly do not necessarily decrease PNC. It is demonstrated that it is possible to optimize other figures of merit without significant penalty ...
Paul C. A. Hagen   +4 more
wiley   +1 more source

Improving the Convergence of Markov Chains via Permutations and Projections

open access: yesRandom Structures &Algorithms, Volume 66, Issue 4, July 2025.
ABSTRACT This paper aims at improving the convergence to equilibrium of finite ergodic Markov chains via permutations and projections. First, we prove that a specific mixture of permuted Markov chains arises naturally as a projection under the KL divergence or the squared‐Frobenius norm.
Michael C. H. Choi   +2 more
wiley   +1 more source

α$$ \alpha $$‐KIDS: A Novel Feature Evaluation in the Ultrahigh‐Dimensional Right‐Censored Setting, With Application to Head and Neck Cancer

open access: yesStatistics in Medicine, Volume 44, Issue 15-17, July 2025.
ABSTRACT Recent advances in sequencing technologies have allowed the collection of massive genome‐wide information that substantially enhances the diagnosis and prognosis of head and neck cancer. Identifying predictive markers for survival time is crucial for devising prognostic systems and learning the underlying molecular drivers of the cancer course.
Atika Farzana Urmi   +2 more
wiley   +1 more source

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