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Quantum gate generation by T-sampling stabilisation

机译:通过T采样稳定化产生量子门

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This paper considers right-invariant and controllable driftless quantum systems with state X(t) evolving on the unitary group U(n) and m inputs u = (u_1,..., u_m). The T -sampling stabilisation problem is introduced and solved: given any initial condition X_0 and any goal state X_(goal), find a control law u = u(X, t) such that lim_(j→∞) X(jT) = X_(goal) for the closed-loop system. The purpose is to generate arbitrary quantum gates corresponding to X_(goal). This is achieved by the tracking of T -periodic reference trajectories (X_a(t), u_a(t)) of the quantum system that pass by X_(goal) using the framework of Coron's return method. The T -periodic reference trajectories X_a(t) are generated by applying controls u_a(t) that are a sum of a finite number M of harmonics of sin(2πt/T), whose amplitudes are parameterised by a vector a. The main result establishes that, for M big enough, X(jT) exponentially converges towards X_(goal) for almost all fixed a, with explicit and completely constructive control laws. This paper also establishes a stochastic version of this deterministic control law. The key idea is to randomly choose a different parameter vector of control amplitudes a = a_j at each t = jT, and keeping it fixed for t ∈ [jT, (j + 1)T). It is shown in the paper that X(jT) exponentially converges towards X_(goal) almost surely. Simulation results have indicated that the convergence speed of X(jT) may be significantly improved with such stochastic technique. This is illustrated in the generation of the C-NOT quantum logic gate on U(4).
机译:本文考虑状态X(t)在the群U(n)和m个输入u =(u_1,...,u_m)上演化的右不变且可控的无漂移量子系统。引入并解决了T采样稳定问题:给定任何初始条件X_0和任何目标状态X_(goal),找到一个控制律u = u(X,t)使得lim_(j→∞)X(jT)= X_(目标)用于闭环系统。目的是生成对应于X_(goal)的任意量子门。这是通过使用Coron返回方法的框架跟踪经过X_(goal)的量子系统的T周期参考轨迹(X_a(t),u_a(t))来实现的。 T周期参考轨迹X_a(t)通过应用控制u_a(t)生成,控制u_a(t)是sin(2πt/ T)的有限个谐波M的总和,其振幅由矢量a参数化。主要结果表明,对于M足够大的情况,对于几乎所有固定的a,X(jT)都向指数X_(goal)收敛,具有明确且完全建设性的控制律。本文还建立了该确定性控制律的随机版本。关键思想是在每个t = jT处随机选择一个不同的控制幅度a = a_j的参数矢量,并将其固定为t∈[jT,(j + 1)T)。论文表明,X(jT)几乎可以肯定地向X_(goal)收敛。仿真结果表明,利用这种随机技术可以显着提高X(jT)的收敛速度。在U(4)上C-NOT量子逻辑门的生成中对此进行了说明。

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