Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields
such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges …

The quest for qubit operation at room temperature is accelerating the field of quantum
information science and technology. Solid state quantum defects with spin-optical properties …

Quantum-inspired Machine Learning (QiML) is a burgeoning field, receiving global attention
from researchers for its potential to leverage principles of quantum mechanics within …

Noise detrimentally affects quantum computations so that they not only become less
accurate but also easier to simulate classically as systems scale up. We construct a classical …

Quantum computing is an emerging technology with potentially far-reaching implications for
national prosperity and security. Understanding the timeframes over which economic …

Cardiovascular diseases are among the major health problems that are likely to benefit from
promising developments in quantum machine learning for medical imaging. The chest X-ray …

This paper proposes a novel approach to Hamiltonian simulation using Decision Diagrams
(DDs), which are an exact representation based on exploiting redundancies in …

We introduce novel algorithmic solutions for hybrid CPU-multiGPU tensor network state
algorithms utilizing non-Abelian symmetries building on AI-motivated state-of-the-art …

Abstract The field of Quantum Information Science and Technology (QIST) is booming. Due
to this, many new educational courses and university programs are needed in order to …

When studying interacting systems, computing their statistical properties is a fundamental
problem in various fields such as physics, applied mathematics, and machine learning …