Hydatid disease primarily affects the liver and typically demonstrates characteristic imaging
findings. However, there are many potential local complications (eg, intrahepatic …

Quantum key distribution (QKD) is a family of protocols for growing a private encryption key
between two parties. Despite much progress, all ground-based QKD approaches have a …

Growing interest in quantum computing for practical applications has led to a surge in the
availability of programmable machines for executing quantum algorithms,. Present-day …

PennyLane is a Python 3 software framework for differentiable programming of quantum
computers. The library provides a unified architecture for near-term quantum computing …

We introduce a general method for building neural networks on quantum computers. The
quantum neural network is a variational quantum circuit built in the continuous-variable (CV) …

Brain changes have been reported in the first weeks after SARS-CoV-2 infection. However,
limited literature exists about brain alterations in post-COVID syndrome, a condition …

Circuit design for quantum machine learning remains a formidable challenge. Inspired by
the applications of tensor networks across different fields and their novel presence in the …

We show how techniques from machine learning and optimization can be used to find
circuits of photonic quantum computers that perform a desired transformation between input …

BACKGROUND AND PURPOSE: Patients with Alzheimer disease (AD) have more low-
frequency activity on conventional EEG and increased focal magnetoencephalographic …

Finding exponential separation between quantum and classical information tasks is like
striking gold in quantum information research. Such an advantage is believed to hold for …