Guest Column

Carlo Mereghetti, Beatrice Palano
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Abstract

Quantum computing is a prolific research area, halfway between physics and computer science [27, 29, 52]. Most likely, its origins may be dated back to 70's, when some works on quantum information began to appear (see, e.g., [34, 37]). In early 80's, R.P. Feynman suggested that the computational power of quantum mechanical processes might be beyond that of traditional computation models [25]. Almost at the same time, P. Benioff already proved that such processes are at least as powerful as Turing machines [9]. In 1985, D. Deutsch [22] proposed the notion of a quantum Turing machine as a physically realizable model for a quantum computer. From the point of view of structural complexity, E. Bernstein and U. Vazirani introduced in [20] the class BQP of problems solvable in polynomial time on quantum Turing machines, focusing attention on relations with the corresponding deterministic and probabilistic classes P and BPP, respectively. Several works in the literature explored classical issues in complexity theory from the quantum paradigm perspective (see, e.g., [7, 60, 61]).
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量子计算是一个多产的研究领域,介于物理学和计算机科学之间[27,29,52]。最有可能的是,它的起源可以追溯到70年代,当时一些关于量子信息的作品开始出现(参见,例如,[34,37])。80年代初,R.P. Feynman提出量子力学过程的计算能力可能超过传统计算模型[25]。几乎在同一时间,P. Benioff已经证明了这些过程至少和图灵机一样强大[9]。1985年,D. Deutsch[22]提出了量子图灵机的概念,作为量子计算机的物理可实现模型。E. Bernstein和U. Vazirani在[20]中从结构复杂性的角度引入了量子图灵机上多项式时间可解问题的类BQP,重点关注了它们与相应的确定性类P和概率类BPP的关系。文献中的一些作品从量子范式的角度探讨了复杂性理论中的经典问题(例如,参见[7,60,61])。
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Brief Introduction to Quantum Computing for Undergraduate Students: Lecture One SIGACT News Complexity Theory Column 120 Guest Column: Structure in Communication Complexity and Constant-Cost Complexity Classes The Book Review Column Open Problems Column
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