Abstract
Quantum clock synchronization (QCS) is a kind of method to measure the time difference among spatially separated clocks with the principle of quantum mechanics. The first QCS algorithm proposed by Chuang and Jozsa is merely based on two parties, which is further extended and generalized to multiparty situation by Krco and Paul. They present a multiparty QCS protocol based upon W-state, utilizing shared prior entanglement and broadcasting the classical information to synchronize spatially separated clocks. Shortly afterward, Ben-Av and Exman came up with an optimized multiparty QCS based on Z-state. In this work, we firstly report the demonstrations of these two multiparty QCS protocols in a four-qubit liquid-state nuclear magnetic resonance system. The experimental results show a great agreement with the theoretical predictions and also prove that Ben-AV’s multiparty QCS algorithm is more accurate than Krco’s.
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We are grateful to the following funding sources: National Natural Science Foundation of China under Grant Nos. 11774197 and 91221205; National Basic Research Program of China under Grant No. 2015CB921002.
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Project supported by the National Natural Science Foundation of China (Grant Nos. 11774197 and 91221205), the National B5. The experimental details are still not presented with any clarity. In particular, experimental realization of step 3 being the phase delay and measurements. National Basic Research Program of China (2015CB921002).
Appendices
Appendix A: GRAPE robustness profiles
As we all know the GRAPE technical is to realize the optimal control of the coupled spin dynamics [31]. In this method, the chosen transfer time T is discretized in N equal steps of duration \(\Delta t=T/N\) and during each step, the control amplitudes are constant. The time evolution of the spin system during a time step j is given by the propagator
where the \(H_0\) is the internal Hamiltonian in Eq. 14, the \(X_j\) and \(Y_j\) are amplitudes of the radiofrequency (RF) pulses applied on the x and y axis, the \(A_j\) and \(\phi _j\) are the amplitudes and phases of RF pulses. The final density operator at time \(t=T\) is
In our experiments to realize U in Eq. 17, we choose the \(T=20\) ms, \(N=4000\), \(\Delta t=5\upmu \)s, the \(A_j\) and \(\phi _j\) are calculated by the GRAPE method [31]. The pulses to realize U are designed to be robust to the static field distributions, RF inhomogeneity and decoherence. Then, we will prove the robustness in detail.
1.1 Static field distributions
In Ref. [20], we know that the static field distributions \(B_0\) only have the influences on \(\nu _j\) in the internal Hamiltonian \(H_0\). So we add some noises on \(B_0\) and the \(\nu _j\) in the Eq. 17 can be rewritten as \(\nu _j+\Delta \nu _j\). We assume that \(\Delta \nu _j\) is changing from \(-10\) Hz to 10 Hz for the real experimental noise is far less than 10 Hz. We compare the final density matrix with the theoretical value to obtain the fidelity. As shown in Fig. 8, the fidelities are all more than 0.99.
1.2 RF inhomogenezity
The radiofrequency (RF) pulses are applied on the x and y axis, the \(A_j\) and \(\phi _j\) are the amplitudes and phases of RF pulses. Similarly, we assume that the noise \(\Delta A_j\) is changing from \(-10\) Hz to 10Hz and the \(\Delta \phi _j\) is changing from \(-5^{\circ }\) to \(5^{\circ }\). As shown in Fig. 9, the fidelities are all more than 0.996.
1.3 Decoherence
The final density at time \(t=T\) is given by the Eq. 25. Considering the influence of decoherence, the time evolution of the spin system during a time step j is approximately given by the propagator:
where \(\sigma _x\) is \(2\times 2\) Pauli operator, \(T_2^i\) are the decoherence time of ith carbon atom as shown in Fig. 2. Finally, we can obtain the fidelities with the influence of decoherence in the Table 2 and the result proves that our method are robust with decoherence with a length of 20 ms.
Appendix B: Fitting of the experimental spectrum
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Kong, X., Xin, T., Wei, SJ. et al. Demonstration of multiparty quantum clock synchronization. Quantum Inf Process 17, 297 (2018). https://doi.org/10.1007/s11128-018-2057-9
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DOI: https://doi.org/10.1007/s11128-018-2057-9