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Copyright © 2006 Keio University Networking Problems in Using Quantum Repeaters Rodney Van Meter MAUI, 2009/4/16

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Presentation on theme: "Copyright © 2006 Keio University Networking Problems in Using Quantum Repeaters Rodney Van Meter MAUI, 2009/4/16"— Presentation transcript:

1 Copyright © 2006 Keio University Networking Problems in Using Quantum Repeaters Rodney Van Meter MAUI, 2009/4/16 rdv@sfc.wide.ad.jp http://www.sfc.keio.ac.jp/~rdv/

2 Assume a Quantum Computer L i k e T h i s...

3 I want to Build a Distributed Quantum S y s t e m L i k e T h i s Laboratory-sized quantum multicomputer or transcontinental network, either one!

4 Repeater Protocol Stack 4 Van Meter et al., IEEE/ACM Trans. on Networking, Aug. 2009 (to appear), quant-ph:0705.4128 Physical Entanglement (PE)‏ Entanglement Control (EC)‏ Purification Control (PC)‏ Entang. Swapping Ctl (ESC)‏ Purification Control (PC)‏ Application Distance=1 } } Repeated at Different Distances } End-to-End Only quantum!

5 5 Outline Two types of quantum networks IPsec with QKD US & European efforts Open problems & plans Repeaters Basic concepts Our recent results Open problems & plans

6 6 Two Types of Quantum Networks Unentangled Networks Entangled Networks A B C E G H

7 7 Quantum Key Distribution (QKD) Creates a shared, random secret between two nodes Uses physical effects to guarantee that key has not been observed Requires authenticated classical channel Limited to <150km per hop

8 IPsec with QKD (ORF2008)‏

9 The DARPA Quantum Network slide from Elliott, BBN

10 SECOQC Prototype - principle layout FOR 81 m LMU Slide from M. Peev, 2008

11 A Trusted repeater QKD-Network: Abstract Architecture (SECOQC, Europe) Slide from M. Peev, 2008

12 12 QKD with IPsec Plans Test over raw fiber, Yagami K2 Use key for one-time pad Work w/ NEC, BBN & ITU to standardize Write experimental I-D on IKE changes Take to IETF in Hiroshima?

13 13 Outline Two types of quantum networks IPsec with QKD US & European efforts Open problems & plans Repeaters Basic concepts Our recent results Open problems & plans A B C E G H

14 14 Network Link Technology (Qubus)‏ coherent optical source (laser)‏ waveguide homodyne detector transceiver qubit in node 1 transceiver qubit in node 2 millimeters to kilometers Munro, Nemoto, Spiller, New J. Phys. 7, 137 (2005)‏ Ladd et al., NJP 8, 184 (2006)‏

15 15 Quantum Repeater Operation: Entanglement Swapping Station 0 Station 1Station 2 Bell State Measurement Fidelity decreases; you must purify afterwards Results must be communicated

16 16 Nested Entanglement Swapping

17 17 Purification Station 0 Station 2 Results must be communicated (two-way?)

18 18 Repeater Protocol Stack Van Meter et al., IEEE/ACM Trans. on Networking, Aug. 2009 (to appear), quant-ph:0705.4128 Physical Entanglement (PE)‏ Entanglement Control (EC)‏ Purification Control (PC)‏ Entang. Swapping Ctl (ESC)‏ Purification Control (PC)‏ Application Distance=1 } } Repeated at Different Distances } End-to-End Only quantum!

19 19 Four-Hop Protocol Interactions Van Meter et al., IEEE/ACM Trans. on Networking, Aug. 2009 (to appear) PE EC PC ESC PC App ESC PC PE EC PC ESC PC App ESC PC PE EC PC ESC PC ESC PE EC PC ESC PE EC PC ESC

20 20 The Repeater’s Jobs Entanglement swapping & purification, which require: A little bit of quantum communication Quantum memory Local quantum operations (gates & measurements) Lots of decision making (both local and distributed) Lots of classical communication

21 21 Entanglement Pumping Ineffective w/ large fidelity difference 0.638 0.72 0.638 0.75 0.638 0.77 0.638 0.79

22 22 Symmetric Purification Problems: Exact matching can require long waits. Not realistic when memory effects (decoherence)‏ considered. Can deadlock if resources are limited. 0.638 0.72 0.638 0.797 X 0.72

23 23 Greedy Purification Doesn’t wait for anything, uses whatever’s available. Works well w/ large number of qubits per repeater. 0.638 0.72 0.638 0.757 X

24 24 Banded Purification Large gains in throughput. Moderate # qubits (5-50). Avoids deadlock. Realistic memory model. Simple to implement in real time (even in HW). Probably not optimal, but probably close. 0.638 0.72 0.638 0.797 X 0.72 Divide fidelity space into multiple bands e.g., above & below 0.70

25 25 Banded Purification Performance Van Meter et al., IEEE/ACM Trans. on Networking, Aug. 2009 (to appear), quant-ph:0705.4128

26 26 Banded Purification Latency Van Meter et al., IEEE/ACM Trans. on Networking, Aug. 2009 (to appear), quant-ph:0705.4128

27 27 Protocol Design

28 28 Routing Simple: use Dijkstra’s Shortest Path First....but we don’t yet know the cost metric. D F A B C E G H

29 29 A Different Meaning of “ W h i c h P a t h ? ” A B C D E F G H 3 hops: ACGB 4 hops: ACGHB ACEHB ADEHB ADFHB 5 hops: ACEHGB ADEHGB ADECGB ADFHGB 6 hops: ACECGHB 7 hops: ADFHECGB ACEDCHGB

30 30 But What is Distance? A B C D E F G H What if hops are not homogeneous? Are 2 n -1 hops, 2 n hops, and 2 n +1 hops significantly different?

31 31 How Do We Order These? How does number of links matter? Does number of weak links matter? Does position of weak link matter? Is cost additive? At this logical level, is this technology- independent?

32 32 Other Problems Defining swap points Static or dynamic? Avoiding leapfrog Avoiding deadlock Minimizing waits for classical messages

33 33 Other Problems Partial messaging sequence Can this be made more efficient? Due to memory degradation, gains will be better than linear

34 34 Leapfrog Station 0 Station 1Station 2Station 3

35 35 Resource Management (QoS?)‏ A B C D A B & C D want to talk. Remember, it’s a distributed computation. Worse, fragile quantum memory means there is a hard real time component. ==>requires circuit switching??? (bottleneck likely is memory per node)‏

36 36 Open Repeater Problems Well, repeater HW doesn’t work yet... –Sims of “weak links” mostly functional –Establishing swapping points –More dynamic behavior –Non-power-of-two hops –Finish & publish protocol state machine

37 37 Open Complex Network Problems Coding partially done –Using graphviz file format –Routing not done –Workload generator needs work –QoS / resource allocation not implemented Visualization of networks Investigate graph states & quantum network coding More detailed workload definition

38 38 Milestones for JSPS Define a cost metric (figure out if it’s additive!) Define a path selection algorithm Define test cases Simulate that set of test cases Extend to topologically complex networks Create static visualizations

39 39 Food for Thought When will first Science or Nature paper appear using a quantum computer, but not about the quantum computer? That is, when will a quantum computer do science, rather than be science? Answers from quantum researchers range from “less than five years” to “more than forty years”

40 Copyright © 2006 Keio University | 40 Thanks Thanks to Thaddeus Ladd, Bill Munro and Kae Nemoto (coauthors on much of this work), as well as Austin Fowler, Jim Harrington, Kohei Itoh, Agung Trisetyarso, Byung-Soo Choi, Shota Nagayama, and Takahiko Satoh And funding from NICT, MEXT, NSF, the Mori Fund at Keio, and now JSPS for funding.

41 AQUA: Advancing Quantum Architecture 情報は物理である: Information is physical http://www.sfc.wide.ad.jp/aqua/


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