Quantum software tools for a wide variety of design tasks on and across different levels of
abstraction are crucial in order to eventually realize useful quantum applications. This …

Fueled by recent accomplishments in quantum computing hardware and software, an
increasing number of problems from various application domains are being explored as …

Quantum processing units (QPUs) are currently exclusively available from cloud vendors.
However, with recent advancements, hosting QPUs will soon be possible everywhere …

Any quantum computing application, once encoded as a quantum circuit, must be compiled
before being executable on a quantum computer. Similar to classical compilation, quantum …

Application-specific quantum computers offer the most efficient means to tackle problems
intractable by classical computers. Realizing these architectures necessitates a deep …

Quantum computers are becoming a reality and numerous quantum computing applications
with a near-term perspective (eg, for finance, chemistry, machine learning, and optimization) …

Quantum computing is fast evolving as a technology due to recent advances in hardware,
software, as well as the development of promising applications. To use this technology for …

The fidelity of quantum programs in the NISQ era is limited by high levels of device noise. To
increase the fidelity of quantum programs running on NISQ devices, a variety of …

Abstract Quantum Artificial Intelligence (QAI) is the intersection of quantum computing and
AI, a technological synergy with expected significant benefits for both. In this paper, we …

This paper demonstrates the integration of Reinforcement Learning (RL) into quantum
transpiling workflows, significantly enhancing the synthesis and routing of quantum circuits …