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Optimal architectures for long distance quantum communication

  • Scientific Reports 6, Article number: 20463 (2016)
  • doi:10.1038/srep20463
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Abstract

Despite the tremendous progress of quantum cryptography, efficient quantum communication over long distances (≥1000 km) remains an outstanding challenge due to fiber attenuation and operation errors accumulated over the entire communication distance. Quantum repeaters (QRs), as a promising approach, can overcome both photon loss and operation errors, and hence significantly speedup the communication rate. Depending on the methods used to correct loss and operation errors, all the proposed QR schemes can be classified into three categories (generations). Here we present the first systematic comparison of three generations of quantum repeaters by evaluating the cost of both temporal and physical resources, and identify the optimized quantum repeater architecture for a given set of experimental parameters for use in quantum key distribution. Our work provides a roadmap for the experimental realizations of highly efficient quantum networks over transcontinental distances.

Introduction

First developed in the 1970s, fiber-optic communication systems have boosted the rate of classical information transfer and played a major role in the advent of the information age. The possibility to encode information in quantum states using single photons and transmit them through optical channels has led to the development of quantum key distribution (QKD) systems1. However, errors induced by the intrinsic channel attenuation, i.e. loss errors, become a major barrier for efficient quantum communication over continental scales, due to the exponential decay of communication rate2. In contrast to classical communication, due to the quantum no-cloning theorem3, quantum states of photons cannot be amplified without any disturbance. In addition to loss errors, depolarization errors introduced by the imperfect optical channel can impair the quality of the single photon transmitted and hence the quantum information encoded.

To overcome these challenges, quantum repeaters (QRs) have been proposed for the faithful realization of long-distance quantum communication4. The essence of QRs is to divide the total distance of communication into shorter intermediate segments connected by QR stations, in which loss errors from fiber attenuation can be corrected. Active mechanisms are also employed at every repeater station to correct operation errors, i.e. imperfections induced by the channel, measurements and gate operations.

As illustrated in Fig. 1, loss errors can be suppressed by either heralded entanglement generation (HEG)4,5 or quantum error correction (QEC)6,7,8,9,10. During HEG, quantum entanglement can be generated with techniques such as two-photon interference conditioned on the click patterns of the detectors in between. Loss errors are suppressed by repeating this heralded procedure until the two adjacent stations receive the confirmation of certain successful detection patterns via two-way classical signaling.

Figure 1: A list of methods to correct loss and operation errors.
Figure 1

Depending on the methods used to correct the errors, QRs are categorized into three generations.

Alternatively, one may encode the logical qubit into a block of physical qubits that are sent through the lossy channel and use quantum error correction to restore the logical qubit with only one-way signaling. Quantum error correcting codes can correct no more than 50% loss rates deterministically due to the no-cloning theorem9,11. To suppress operation errors, one may use either heralded entanglement purification (HEP)12,13 or QEC6,7,8,9,10 as listed in Fig. 1. In HEP, multiple low-fidelity Bell pairs are consumed to probabilistically generate a smaller number of higher-fidelity Bell pairs. Like HEG, to confirm the success of purification, two-way classical signaling between repeater stations for exchanging measurement results is required. Alternatively, QEC can correct operation errors using only one-way classical signaling, but it needs high fidelity local quantum gates.

Based on the methods adopted to suppress loss and operation errors, we can classify various QRs into three categories as shown schematically in Fig. 2, which we refer to as three generations of QRs14. Note that the combination of QEC for loss errors and HEG for operation errors is sub-optimum compared to the other three combinations.

Figure 2: Comparison of three generations of QRs.
Figure 2

Each generation of QR performs the best for a specific regime of operational parameters such as local gate speed, gate fidelity, and coupling efficiency. We consider both the temporal and physical resources consumed by the three generations of QRs and identify the most efficient architecture for different parameter regimes. The results can guide the design of efficient long distance quantum communication links that act as elementary building blocks for future quantum networks.

In this paper, we will first briefly review the chacracterstics of three generations of QRs. We use the cost coefficient as an optimization metric to compare the QR performance, and study its dependence on the individual operational parameters including coupling efficiency, gate speed and gate fidelity. Later, we present a holistic view of the optimization and illustrate the parameter regions where each generation of QRs performs more efficiently than others. Finally, we analyze the advantages and challenges of each generation of QRs and discuss the experimental candidates for their realizations.

Results

Three generations of quantum repeaters

The first generation of QRs uses HEG and HEP to suppress loss and operation errors, respectively4,5. This approach starts with purified high-fidelity entangled pairs with separation L0 = Ltot/2n created and stored in adjacent stations. At k-th nesting level, two entangled pairs of distance Lk−1 = 2k−1L0 are connected to extend entanglement to distance Lk = 2kL015. As practical gate operations and entanglement swapping inevitably cause the fidelity of entangled pairs to drop, HEP can be incorporated at each level of entanglement extension12,13. With n nesting levels of connection and purification, a high-fidelity entangled pair over distance Ln = Ltot can be obtained. The first generation of QRs reduces the exponential overhead in direct state transfer to only polynomial overhead, which is limited by the two-way classical signaling required by HEP between non-adjacent repeater stations. The communication rate still decreases polynomially with distance and thus becomes very slow for long distance quantum communication. The communication rate of the first generation of QRs can be boosted using temporal, spatial, and/or frequency multiplexing associated with the internal degrees of freedom for the quantum memory5,16.

The second generation of QRs uses HEG to suppress loss errors and QEC to correct operation errors6,7,17. First, the encoded states and are fault-tolerantly prepared using the Calderbank-Shor-Steane (CSS) codes and stored at two adjacent stations. CSS codes are considered because of the fault tolerant implementation of preparation, measurement, and encoded CNOT gate6,18. Then, an encoded Bell pair between adjacent stations can be created using teleportation-based non-local CNOT gates19,20 applied to each physical qubit in the encoded block using the entangled pairs generated through HEG process. Finally, QEC is carried out when entanglement swapping at the encoded level is performed to extend the range of entanglement. The second generation uses QEC to replace HEP and therefore avoids the time-consuming two-way classical signaling between non-adjacent stations. The communication rate is then limited by the time delay associated with two-way classical signaling between adjacent stations and local gate operations. If the probability of accumulated operation errors over all repeater stations is sufficiently small, we can simply use the second generation of QRs without encoding.

The third generation of QRs relies on QEC to correct both loss and operation errors8,9,10,21. The quantum information can be directly encoded in a block of physical qubits that are sent through the lossy channel. If the loss and operation errors are sufficiently small, the received physical qubits can be used to restore the whole encoding block, which is retransmitted to the next repeater station. The third generation of QRs only needs one-way signaling and thus can achieve very high communication rate, just like the classical repeaters only limited by local operation delay. It turns out that quantum parity codes22 with moderate coding blocks (200 qubits) can efficiently overcome both loss and operation errors9,21.

Note that the second and third generations of QRs can achieve communication rate much faster than the first generation over long distances, but they are technologically more demanding. For example, they require high fidelity quantum gates as QEC only works well when operation errors are below the fault tolerance threshold. The repeater spacing for the third generation of QRs is smaller compared to the first two generation of QRs because error correction can only correct a finite amount of loss errors. Moreover, quantum error correcting codes can correct only up to 50% loss error rates deterministically, which restricts the applicable parameter range for the third generation of QRs9.

Besides quantum key distribution, QRs can also be used for quantum state transfer. The resource requirement is mostly unchanged for the first and third generations of QRs. For the second generation, however, additional long-lived quantum memories will be required at the end (receiver) station, because the receiver has to wait for and collect all the classical signals to complete quantum teleportation.

Comparison of three generations of QRs

To present a systematic comparison of different generations in terms of efficiency, we need to consider both temporal and physical resources. The temporal resource depends on the rate, which is limited by the time delay from the two-way classical signaling (first and second generations) and the local gate operation (second and third generations, see details below)23. The physical resource depends on the total number of qubits needed for HEP (first and second generations) and QEC (second and third generations)9,24. We propose to quantitatively compare the three generations of QRs using a cost function9 related to the required number of qubit memories to achieve a given transmission rate. Suppose a total of Ntot qubits are needed to generate secure keys at R bits/second, the cost function is defined as

where Ns is the number of qubits needed per repeater station, Ltot the total communication distance, and L0 the spacing between neighboring stations. Since the cost function scales at least linearly with Ltot, to demonstrate the additional overhead associated with Ltot, the cost coefficient can be introduced as

which can be interpreted as the resource overhead (qubits × time) for the creation of one secret bit over 1 km (with target distance Ltot). Besides the fiber attenuation (with Latt = 20 km for telecom wavelengths), the cost coefficient also depends on other experimental parameters, in particular the coupling efficiency ηc (see supplementary material), the gate error probability εG, and the gate time t0. For simplicity, we make the following assumptions. 1) We assume that the fidelity of physical Bell pairs achieved with entanglement purification and measurement error probability through a verification procedure (See supplementary material). 2) For third generation QRs, we restrict the search only up to 200 qubits per logical qubit considering the complexity involved in the production of larger codes and for a fair comparison with second generation of QRs. 3) We will assume that t0 is independent of code size for small encoded blocks for second and third generation QRs. We will now investigate how C′ varies with these parameters for three generations of QRs, and identify the optimum generation of QR depending on the technological capability.

Coupling efficiency

The coupling efficiency ηc accounts for the emission of photon from the memory qubit, coupling of the photon into the optical fiber and vice versa, and the final detection of photons. The first and second generations of QRs use HEG compatible with arbitrary coupling efficiency, while the third generation relies on QEC requiring the overall transmission (including the coupling efficiency ηc and the channel transmission) to be at least above 50%9,25. As illustrated in Fig. 3, for high coupling efficiency (ηc 90%) the third generation of QRs has an obvious advantage over the other generations due to the elimination of two-way classical signaling. As the coupling efficiency is reduced and approaches (~90%) for quantum parity codes, the size of the coding block quickly increases and it becomes less favorable to use this approach. For coupling efficiency below ~90%, the optimization chooses the first and second generations of QRs, and then C′ is proportional to for HEG protocols heralded by two-photon detector click patterns.

Figure 3
Figure 3

The optimized cost coefficient C’ as a function of ηc for t0 = 1 μs, εG {10−2, 10−3, 10−4}, and (a) Ltot = 1000 km, (b) Ltot = 10,000 km. The associated optimized QR protocols are indicated in different colors 2G(NC) and 2G(C) correspond to second generation without and with encoding, respectively.

If the gate error becomes large (e.g., εG = 10−2), the capability of correcting loss errors will be compromised for the third generation QRs. Similar trends can be observed as we fix εG and increase Ltot. In contrast to the third generation QRs, the first and second generation QRs with HEG works well even for low coupling efficiencies.

Speed of quantum gates

We investigate the performance of different generations of QRs for different gate times in the range 0.1 μs ≤ t0 ≤ 100 μs. As shown in Fig. 4, for high speed quantum gates (t0 1 μs) the third generation of QRs provides a very fast communication rate, which makes it the most favorable protocol, with C′ t0. For slower quantum gates (t0 10 μs), the gate time becomes comparable or even larger than the delay of two-way classical signaling between adjacent stations ; as the third generation of QRs loses its advantage in communication rate, the second generation of QRs with less physical resources becomes the optimized QR protocol, with almost constant C′ for a wide range of t0.

Figure 4
Figure 4

The optimized cost coefficient C’ as a function of t0 for ηc = 0.9, εG {10−3, 10−4}, and (a) Ltot. = 1000 km, (b) Ltot. = 10,000 km. The associated optimized QR protocols are indicated in different colors.

We notice that for small gate error and intermediate distance (e.g., εG = 10−4 and Ltot = 1000 km appeared in Figs 3a and 4a), encoding might not even be necessary for the second generation of QRs, because the accumulated errors over the entire repeater network are within the tolerable range for quantum communication . However, for larger error probability or longer distances , encoding is required for the second generation QRs. When εG increases from 10−4 to 10−3, the cost coefficient for the second generation of QR without encoding increases by almost a factor of 10 (Fig. 4a), while the change is less significant for the second and third generations of QRs with encoding (Fig. 4). This is because at the logical level, the change in the effective logical error probability is suppressed for the given set of parameters. The cost coefficient for the first generation of QRs lies beyond the scope of Fig. 4, with little dependence on t0 that is mostly negligible compared to the two-way classical signaling between non-adjacent stations .

Gate fidelity

The three generations of QRs have different thresholds in terms of gate error probability εG. The first generation relies on HEP with the highest operation error threshold up to about 3%4. The second and third generations both use QEC to correct operation errors, with error correction thresholds of approximately 1%26. The gate error threshold of the second generation is slightly lower than that of the third generation, because of the extra gates required for teleportation-based non-local CNOT gates and entanglement swapping in the second generation of QRs (See supplementary material). However, since we restrict the size of the encoded block for third generation of QRs, C’ increases exponentially with εG slightly below the theoretical threshold of quantum parity codes. As illustrated in Fig. 5, for almost perfect coupling efficiency (e.g. ηc = 100%) and fast local operation (t0 = 1 μs), the third generation using QEC to correct both fiber attenuation loss and operation errors is the optimized protocol for moderate gate errors. For lower coupling efficiencies (e.g. ηc = 30% and 80%) with too many loss errors for the third generation to tolerate, the first and second generations with HEG yield good performance. As εG increases, there is a transition at about 0.8% (0.6%) below which the second generation is more favorable for 1000 km (10000 km).

Figure 5
Figure 5

The optimized cost coefficient C′ as a function of εG for t0 = 1 μs, ηc {30%, 80%, 100%}, and (a) Ltot = 1000 km, (b) Ltot = 10,000 km. The associated optimized QR protocols are indicated in different colors.

Optimum generation of QRs

Based on the above analysis of the cost coefficient that depends on the coupling efficiency ηc, the gate time t0, and the gate infidelity εG, we may summarize the results using the bubble plot and the region plot in the three-dimensional parameter space, as shown in Fig. 6. The bubble color indicates the associated optimized QR protocol, and the bubble diameter is proportional to the cost coefficient. The parameter space can be divided into the following regions: (I) For high gate error probability , the first generation dominates; (II.A) For intermediate gate error probability, but poor coupling efficiency or slow local operation [ and (ηc 90% or t0 1 μs)], the second generation with encoding is more favorable; (II.B) For low gate error probability, but low coupling efficiency or slow local operation [ and (ηc 90% or t0 1 μs)], the second generation without encoding is more favorable; (III) For high coupling efficiency, fast local operation, and low gate error probability (ηc 90%, t0 1 μs, εG 1%), the third generation becomes the most favorable scheme in terms of the cost coefficient.

Figure 6
Figure 6

The bubble plot comparing various QR protocols in the three-dimensional parameter space spanned by ηc, εG, and t0, for (a) Ltot = 1000 km and (b) Ltot = 10,000 km. The bubble color indicates the associated optimized QR protocol, and the bubble diameter is proportional to the cost coefficient. The region plots (c,d) showing the distribution of different optimized QR protocol in the three dimensional parameter space for Ltot = 1000 km and Ltot = 10,000 km respectively. The region plot (c) contains a yellow region of second generation with encoding, which can be verified in a bubble plot with a finer discretization of εG.

Discussion

So far, we have mostly focused on the standard procedure of HEG and HEP4,5,12,13, the CSS-type quantum error correcting codes, and the teleportation-based QEC, which all can be improved and generalized. We have also assumed the simple cost function that scales linearly with the communication time and the total number of qubits. In practice, however, the cost function may have a more complicated dependence on various resources. Nevertheless, we may extend our analysis by using more realistic cost functions to compare various QR protocols. As we bridge the architectural design of QRs and the physical implementations, we may include more variations of HEG, HEP as well as QEC and use more realistic cost functions, while the general trend and different parameter regions should remain mostly insensitive to these details. Recently, there have been growing interest in all optical quantum repeaters14,27,28 which does not require memory qubits. In such cases, the cost coefficient can be naturally extended to key generation rate/mode2 (in units bits/second/mode) and one can consider its maximization to compare different QR schemes.

The classification of QR protocols with different performance in the parameter space also provides a guideline for optimized architectural design of QRs based on technological capabilities, which are closely related to physical implementations, including atomic ensembles, trapped ions, NV centers, quantum dots, nanophotonic devices, etc. (1) The atomic ensemble can be used as quantum memory with high coupling efficiency (>80%29,30) and compatible with HEG for the first generation of QRs31. An important challenge for ensemble-based QRs is the use of non-deterministic quantum gates, which can be partly compensated by multiplexing various internal modes of the ensemble memory5,16. Alternatively, the atomic ensemble approach can be supplemented by deterministic atom-photon and atom-atom gates using Rydberg blockade, which can dramatically improve the performance of atomic ensemble approaches and make them compatible with both first and second generations of QRs32,33. (2) The trapped ions, NV centers, and quantum dots all can implement local quantum operations deterministically34,35,36,37,38, as well as HEG39,40,41,42. In principle, they are all compatible with the first and second generations of QRs. Although the coupling efficiency is relatively low for single emitters compared to ensembles, it can be boosted with cavity Purcell enhancement43 (by two orders of magnitude). With high coupling efficiency44,45, these systems can also be used for the third generation of QRs. (3) The system of nanophotonic cavity with individual trapped neutral atoms has recently demonstrated quantum optical switch controlled by a single atom with high coupling efficiency46,47, which can be used for deterministic local encoding and QEC for the third generation of QRs. Realization of similar techniques with atom-like emitters are likewise being explored. (4) The opto-electro-mechanical systems have recently demonstrated efficient coherent frequency conversion between optical and microwave photons48,49 and can potentially enable using superconducting systems50 for reliable fast local quantum gates for QRs.

In conclusion, we have classified various QR protocols into three generations based on different methods for suppressing loss and operation errors. Introducing the cost function to characterize both temporal and physical resources, we have systematically compared three generations of QRs for various experimental parameters, including coupling efficiency, gate time and gate fidelity. There are different parameter regions with drastically different architectural designs of quantum repeaters with different possible physical implementations. Our work will provide a guideline for the optimal design of quantum networks and help in the extension of quantum network of clocks51, interferometric telescopes52 and distributed quantum computation20,53 to global scales. In the future, the integration of different generations of QRs will enable the creation of a secure quantum internet54.

Methods

Descriptions of error models

Local two-qubit gates, e.g. CNOT gate, are characterized by the gate infidelity εG. With probability 1 − εG the desired two-qubit gate is applied, while with probability εG the state of the two qubits becomes a maximally mixed state. Mathematically the imperfect two-qubit operation on qubit i and j can be expressed as

where Uij stands for perfect two-qubit operation on qubit i and j, Trij[ρ] the partial trace over qubit i and j, and Iij the identity operator for qubits i and j.

Qubit measurement error is described by the measurement infidelity ξ, which is the probability of a wrong measurement. The error models for projective measurements of states and are

The measurement error can be suppressed by introducing an ancillary qubit for measurement and measuring both the data and the ancillary qubits. If the measurement outcomes don’t match, it can be considered as a loss error on that qubit. The contribution of the measurement error to the overall loss error is negligible given the range of the gate error rates (10−4–10−2) we are considering; if they match, then the effective measurement error is given by 26.

In the calculations, the memory qubits are assumed to be perfect, i.e. their life-time is tremendously longer than any characteristic times involved in each scheme. In this sense the most demanding scheme is the first generation, which is optimum at long communication distances, e.g. Ltot = 104 km, and high gate errors. The required coherence time τ for memory qubits is at least limited by the fundamental two-way classical communication time between Alice and Bob

where c = 2 × 105 km/s is the speed of light in telecom-wavelength optical fiber. Recent experiments with trapped ions, superconducting qubits, solid state spins and neutral atoms have demonstrated quantum memory life-times approaching or exceeding this characteristic value. For the second generation, the characteristic communication time is

where Latt = 20 km at telecomm wavelength. The corresponding coherence times are far less demanding than that of the first generation, which relieves the strong life-time requirements on memory qubits and makes the two generations more plausible in practice. Note that when the operation time t0 becomes comparable or larger than the characteristic communication time, it is then the operation time t0 that puts limits to the coherence time τ. Third generation QRs are not limited by the two way communication time because it is a fully one way communication scheme.

Entanglement fidelity and entanglement purification

The density matrix of an imperfect Bell pair can be expressed in the Bell basis as the following

where and are the four Bell states. The fidelity of the pair is thus defined as

Both the first and second generations of QRs rely on generating elementary entangled pairs between neighboring repeater stations and then extending the entanglement to longer distances. Practically, however, an entangled pair generated between neighboring stations may not be a perfect Bell pair. In addition, for the first generation, HEP is needed at higher levels of entanglement extension to overcome operation errors. With the technique of HEP, the fidelity of entangled pairs can be boosted to near-unity at the cost of reducing the total number of them and purified pairs can be connected to obtain longer entangled pairs or used as resources for implementing remote quantum gates.

We note that with imperfect quantum operations and measurements, there is an upper bound on the fidelity of entangled pairs even with entanglement purification. It is in general, a function of the density matrix of raw Bell pairs ρ, gate infidelity εG and measurement infidelity ξ, and depends on the specific purification protocol one uses. Using Deutsch et al. purification protocol (see the supplementary for details), the value of this upper bound can be approximated as

in which we assume depolarized states for input raw Bell pairs. This approximate expression holds at small εG’s (1%). In our calculations and comparison, the temporal resources and physical resources consumed in obtaining purified pairs between neighboring stations are not accounted; elementary entangled pairs generated between neighboring stations are assumed to directly take this asymptotic value. The associated additional cost in the purification can be easily added as an overhead into the cost function.

For HEP at higher levels in the first generation, we consider two widely used entanglement purification protocols: Deutsch et al. protocol12 and Dür13 et al. protocol. Compared to other purification schemes, the Deutsch protocol reaches higher fidelities with fewer rounds of purification so its upper bound is used as the fidelity of elementary pairs between neighboring stations. The Dür et al. purification protocol is very similar to the Deutsch et al. protocol, except that one of the two pairs, called auxiliary pair, is never discarded and will be prepared in the same state in each round of purification. This is sometimes also call “entanglement pumping”. The Dür et al. purification protocol saves qubit resources by keeping making use of the auxiliary pair, while the state preparation in each purification round is costly in time as a trade-off and if one round fails, the whole purification needs to be started over again. Details of the two protocols can be found in the supplementary. Note that, in general, despite differences in experimental requirements and efficiencies, the choice of purification protocols will not affect the big picture of scheme optimization.

Additional Information

How to cite this article: Muralidharan, S. et al. Optimal architectures for long distance quantum communication. Sci. Rep. 6, 20463; doi: 10.1038/srep20463 (2016).

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Acknowledgements

This work was supported by the DARPA Quiness program, ARL CDQI program, ARO, AFOSR, NBRPC (973 program), the Alfred P. Sloan Foundation and the Packard Foundation. We thank Anna Wang, Hong Tang, Ryo Namiki, Prasanta Panigrahi and Steven Girvin for discussions.

Author information

Author notes

    • Sreraman Muralidharan
    •  & Linshu Li

    These authors contributed equally to this work.

Affiliations

  1. Department of Electrical Engineering, Yale University, New Haven, CT 06511 USA

    • Sreraman Muralidharan
  2. Department of Applied Physics, Yale University, New Haven, CT 06511 USA

    • Linshu Li
    •  & Liang Jiang
  3. Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708 USA

    • Jungsang Kim
  4. Institute of Quantum computing, University of Waterloo, N2L 3G1 Waterloo, Canada

    • Norbert Lütkenhaus
  5. Department of Physics, Harvard University, Cambridge, MA 02138, USA

    • Mikhail D. Lukin

Authors

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Contributions

J.K., N.L., M.L. and L.J. conceived the original concept and designed the research project. S.M. and L.L. carried out the theoretical and numerical analysis. S.M., L.L. and L.J. prepared the manuscript with inputs from J.K., N.L. and M.L.

Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Liang Jiang.

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