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Experimental Realization of Shor’s Factoring Algorithm ‡ ‡ Vandersypen L.M.K, et al, Nature, v.414, pp. 883 – 887 (2001) M. Steffen 1,2, L.M.K. Vandersypen.

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Presentation on theme: "Experimental Realization of Shor’s Factoring Algorithm ‡ ‡ Vandersypen L.M.K, et al, Nature, v.414, pp. 883 – 887 (2001) M. Steffen 1,2, L.M.K. Vandersypen."— Presentation transcript:

1 Experimental Realization of Shor’s Factoring Algorithm ‡ ‡ Vandersypen L.M.K, et al, Nature, v.414, pp. 883 – 887 (2001) M. Steffen 1,2, L.M.K. Vandersypen 1,2, G. Breyta 1, C.S. Yannoni 1, M. Sherwood 1, I.L.Chuang 1,3 1 IBM Almaden Research Center, San Jose, CA 95120 2 Stanford University, Stanford, CA 94305 3 MIT Media Laboratory, Cambridge, MA 02139

2 Shor’s Factoring Algorithm Quantum circuit to factor an integer N gcd(a r/2 ±1,N) Implemented for the case N = 15 -- expect 3 and 5

3 Factoring N = 15 Challenging experiment: synthesis of suitable 7 qubit molecule requires interaction between almost all pairs of qubits coherent control over qubits

4 Factoring N = 15 a = 11 ‘easy case’ a = 7 ‘hard case’ mod expQFT

5 The molecule

6 Pulse Sequence Init. mod. exp.QFT ~ 300 RF pulses || ~ 750 ms duration

7 Results: Spectra qubit 3qubit 2qubit 1 Mixture of |0 ,|2 ,|4 ,|6  2 3 /2 = r = 4 3, 5 gcd(7 4/2 ± 1, 15) = 3, 5 Mixture of |0 ,|4  2 3 /4 = r = 2 3, 5 gcd(11 2/2 ± 1, 15) = 3, 5 15 = 3 · 5 a = 11 a = 7

8 Results: Predictive Decoherence Model Generalized Amplitude Damping Operator sum representation:    k E k  E k †

9 Results: Circuit Simplifications control of C is |0  control of F is |1  E and H inconsequential to outcome targets of D and G in computational basis ‘Peephole’ optimization

10 Conclusions First experimental demonstration of Shor’s factoring algorithm Developed predictivedecoherence model Methods for circuit simplifications


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