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Experimental Realization of Shor’s Factoring Algorithm ‡

Experimental Realization of Shor’s Factoring Algorithm ‡. 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

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Experimental Realization of Shor’s Factoring Algorithm ‡

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  1. Experimental Realization of Shor’s Factoring Algorithm‡ M. Steffen1,2, L.M.K. Vandersypen1,2, G. Breyta1, C.S. Yannoni1, M. Sherwood1, I.L.Chuang1,3 1 IBM Almaden Research Center, San Jose, CA 95120 2 Stanford University, Stanford, CA 94305 3 MIT Media Laboratory, Cambridge, MA 02139 ‡Vandersypen L.M.K, et al, Nature, v.414, pp. 883 – 887 (2001)

  2. Shor’s Factoring Algorithm Quantum circuit to factor an integer N gcd(ar/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 mod exp QFT a = 7 ‘hard case’ a = 11 ‘easy case’

  5. The molecule

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

  7. Results: Spectra Mixture of |0,|4 23/4 = r = 2 gcd(112/2 ± 1, 15) = 3, 5 a = 11 15 = 3 · 5 a = 7 Mixture of |0,|2,|4,|6 23/2 = r = 4 gcd(74/2 ± 1, 15) = 3, 5 qubit 3 qubit 2 qubit 1

  8. Results: Predictive Decoherence Model Operator sum representation:   kEk  Ek† Generalized Amplitude Damping

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

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

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