Titlebook: Quantum Circuit Simulation; George F. Viamontes,Igor L. Markov,John P. Hayes Book 2009 Springer Science+Business Media B.V. 2009 Matrix.Qu

Waterproof

書目名稱Quantum Circuit Simulation影響因子(影響力)




書目名稱Quantum Circuit Simulation影響因子(影響力)學科排名




書目名稱Quantum Circuit Simulation網(wǎng)絡公開度




書目名稱Quantum Circuit Simulation網(wǎng)絡公開度學科排名




書目名稱Quantum Circuit Simulation被引頻次




書目名稱Quantum Circuit Simulation被引頻次學科排名




書目名稱Quantum Circuit Simulation年度引用




書目名稱Quantum Circuit Simulation年度引用學科排名




書目名稱Quantum Circuit Simulation讀者反饋




書目名稱Quantum Circuit Simulation讀者反饋學科排名

ALOFT

Improving QuIDD-based Simulation,ect a computation‘s final outcome. Although this technique cannot be used in every case, it can exponentially reduce simulation complexity in important special cases. We illustrate this by simulating a circuit with several types of continuous errors and evaluating the effectiveness of “bang-bang” error correction.

規(guī)范要多

atopic

Limited

State-Vector Simulation with Decision Diagrams, exponential, and the worst case is not typical for structured circuits arising in practical applications. Later in the chapter, benchmark results with Grover‘s quantum search algorithm will reveal that a QuIDD-based simulator outperforms several implementations of qubit-wise multiplication in terms of asymptotic runtime and memory usage.

雪白

reserve

高談闊論

Generic Circuit Simulation Techniques,st of which include front-ends to general-purpose quantum simulation software. Here we focus on the more powerful and sophisticated simulation algorithms and assess their advantages and disadvantages. This chapter may be skipped without significant loss of continuity.

ORBIT

figurine

Introduction,ineering. The physicist and Nobel laureate Richard Feynman, among others, observed in the 1980s that the important task of simulating quantum-mechanical processes on a standard computer requires an extraordinary amount of computer memory and runtime [41]. Such observations gave rise to the notion of