QUANT-PHSTR-ELCLAug 17, 2021

A comparative study of universal quantum computing models: towards a physical unification

arXiv:2108.07909v323 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a foundational problem in quantum computing for researchers by providing a systematic framework, though it is incremental as it builds on existing models.

The authors tackled the lack of a concise physical principle to unify diverse universal quantum computing models by classifying them into two categories, resulting in a table that reveals new unexplored schemes and insights into quantum algorithms.

Quantum computing has been a fascinating research field in quantum physics. Recent progresses motivate us to study in depth the universal quantum computing models (UQCM), 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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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