Quantum computation for physical modeling

Dongsheng Wang

Quantum computing has been a fascinating research field in quantum physics. Recent progresses motivate us to study in depth the universal quantum computing models (UQCMs), which lie at the foundation of quantum computing and have tight connections with fundamental physics. Although being developed decades ago, a physically concise principle or picture to formalize and understand UQCM is still lacking. This is challenging given the diversity of still-emerging models, but important to understand the difference between classical and quantum computing. In this work, we carried out a primary attempt to unify UQCM by classifying a few of them as two categories, hence making a table of models. With such a table, some known models or schemes appear as hybridization or combination of models, and more importantly, it leads to new schemes that have not been explored yet. Our study of UQCM also leads to some insights into quantum algorithms. This work reveals the importance and feasibility of systematic study of computing models.

Ashutosh Bhatia, Sainath Bitragunta, Kamlesh Tiwari

This paper presents a layered architecture QC-Stack for the quantum computing domain. It is a comprehensive framework explaining quantum computing systems by identifying three fundamental layers: the physical, system, and application layers. Each plays a crucial role in implementing quantum computing systems in practice. The physical layer evaluates quantum hardware technologies based on crucial performance parameters such as qubit quality, connectivity, and scalability. The system layer, which includes quantum firmware, compilers, operating systems, and software development tools, bridges the gap between the physical and application layers. The application layer incorporates Quantum Programming Languages and algorithms, emphasizing their significance in leveraging quantum computing potential across various domains. The paper provides a comparative analysis at a higher level of existing quantum algorithms, protocols, and hardware and software technologies within each sub-layer. It also highlights the strengths and weaknesses of different technologies at each layer. This holistic model can guide researchers and practitioners, offering insights into the ever-evolving landscape of quantum technology.

Hans A. De Raedt, Kristel F. L. Michielsen, Seiji Miyashita +1 more

We discuss the impact of the physical implementation of a quantum computer on its computational efficiency, using computer simulations of physical models of quantum computer hardware. We address the computational efficiency of practical procedures to extract the results of a quantum computation from the wave function respresenting the final state of the quantum computer.

Tzvetan S. Metodi, Frederic T. Chong