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Challenges in Building Quantum Computers Anastasiia Butko Computational Research Division (CRD) Lawrence Berkeley National Laboratory (LBNL) July 7, 2020 Computing Sciences Summer Student Program Talk Berkeley, CA Challenges in Building


  1. Challenges in Building Quantum Computers Anastasiia Butko Computational Research Division (CRD) Lawrence Berkeley National Laboratory (LBNL) July 7, 2020 Computing Sciences Summer Student Program Talk Berkeley, CA

  2. Challenges in Building Quantum Computers Quantum Computer Why?

  3. As the Moore’s Law ending... Kunle Olukotun, Lance Hammond, Herb Sutter, Mark Horowitz and extended by John Shalf.

  4. Continued Performance Improvements The future of computing beyond Moore’s Law, J. Shalf

  5. As the Moore’s Law ending... Number factorization problem We are here

  6. Challenges in Building Quantum Computers Quantum Computer Myth or Reality?

  7. Myth or Reality?

  8. Timeline QNTM: Entering the era of Quantum Computing www.qntm.be

  9. Timeline Quality of qubits ● ● Number of qubits ? ● QNTM: Entering the era of Quantum Computing www.qntm.be

  10. Challenges in Building Quantum Computers Challenges Quality

  11. Quality of Qubits Extremely sensitive to noise Research directions from outside environment noise modeling ▪ ▪ remove from neighboring qubits noise mitigation ▪ ▪ from ``nowhere’’ qubit isolation ▪ ▪ error correction ignore ▪ Bloch sphere ▫ |0> ▫ |1>

  12. Quality of Qubits Has limited lifetime Research directions depends on technology material science/technology ▪ ▪ ▫ Superconducting Qubits: Current State of Play, Kjaergaard et al.

  13. Challenges in Building Quantum Computers Challenges Number of Qubits

  14. Number of Qubits

  15. Number of Qubits Universal Quantum

  16. Number of Qubits

  17. Number of Qubits D-Wave Quantum Annealers Chimera topology (not all-to-all connectivity) ▪ Number of logical qubits << physical qubits ▪

  18. Challenges in Building Quantum Computers Challenges Anything else?

  19. Quantum Computer Accelerator Inaccuracy of terminology Quantum computer ≠ Quantum Processing Unit (QPU) ▪

  20. Quantum Computer Accelerator Inaccuracy of terminology Quantum computer ≠ Quantum Processing Unit (QPU) ▪ Quantum computer = QPU + Control Hardware ▪ User QPU Cryogenic Control Architecture for Large-Scale Quantum Computing, J. M. Hornibrook et al., Phys. Rev. Applied 3, 024010, (2015)

  21. Advanced Quantum Testbed (AQT) DOE funded cross-disciplinary project ▪ Open collaboration ▫ $30 million over 5 years ▫ quantum physicists (QNL, MIT LL) ▫ material scientists (MF) ▫ computer scientists (CRD) ▫ engineers (ATAP) ▫ industry partners ▫

  22. Challenges in Building Quantum Computers Challenges Control System

  23. Main concepts Theory

  24. Main concepts Theory Practice

  25. Main concepts Theory Practice

  26. Challenges in Building Quantum Computers Control System Architecture Locality & Functionality

  27. Traditional User-to-QPU path

  28. Bringing intelligence to the edge

  29. Challenges in Building Quantum Computers Quantum Control Processor What is a measure of success?

  30. Quantum Control Processor success FLOPS? Energy? Execution time? Power consumption?

  31. Quantum Control Processor success FLOPS? Energy? Execution time? Power consumption? Task #1: Provide control pulses on time

  32. Quantum Control Processor success FLOPS? Energy? Execution time? Power consumption? Task #1: Provide control pulses on time Timestamp 0 Timestamp 1

  33. Quantum Control Processor success FLOPS? Energy? Execution time? Power consumption? Task #1: Provide control pulses on time X Timestamp 0 Timestamp 1

  34. Quantum Control Processor success FLOPS? Energy? Execution time? Power consumption? Task #1: Provide control pulses on time Sub-circuit lower higher complexity

  35. Quantum Control Processor success fast -feedback loop & bit manipulation ▪ The University of Melbourne Topological Quantum Error Correction (TopQEC) group

  36. Control processor speed estimates RISC assembly MM control interpretation per one cycle 4 instructions/gate → 12 operations/gate ▪ N qubits → 12*N operations/gate ▪ gate delay → 20ns, 10ns, 5ns ▪

  37. Challenges in Building Quantum Computers Quantum Control Processor Architecture

  38. QUASAR: quantum extension for RISC-V We proposed: QUAntum instruction Set ARcitecture ( QUASAR ) extension to ▪ the widely used open source RISC-V architecture.

  39. Timing Constraint Satisfaction

  40. System Architecture Implementation

  41. “ Advanced Quantum Testbed https:/ /berkeleyquantum.org ▪ arXiv:1909.11719 ▪ open-source release

  42. Thank you for your attention. Questions?

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