Numerical gate synthesis for quantum heuristics on bosonic quantum processors

被引:7
作者
Ozguler, A. Baris [1 ]
Venturelli, Davide [2 ,3 ]
机构
[1] Fermilab Natl Accelerator Lab, Superconducting Quantum Mat & Syst Ctr SQMS, Fermi Natl Accelerator Lab, Batavia, IL 60510 USA
[2] NASA Ames Res Ctr, Quantum Artificial Intelligence Lab QuAIL, USRA Res Inst Adv Comp Sci RIACS, Moffett Field, CA USA
[3] Fermilab Natl Accelerator Lab, Superconducting Quantum Mat & Syst Ctr SQMS, Moffett Field, CA USA
关键词
pulse engineering; quantum approximate optimization algorithm (QAOA); quantum control; circuit quantum electrodynamics (circuit QED); quantum compiler;
D O I
10.3389/fphy.2022.900612
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
There is a recent surge of interest and insights regarding the interplay of quantum optimal control and variational quantum algorithms. We study the framework in the context of qudits which are, for instance, definable as controllable electromagnetic modes of a superconducting cavity system coupled to a transmon. By employing recent quantum optimal control approaches described in (Petersson and Garcia, 2021), we showcase control of single-qudit operations up to eight states, and two-qutrit operations, mapped respectively onto a single mode and two modes of the resonator. We discuss the results of numerical pulse engineering on the closed system for parametrized gates useful to implement Quantum Approximate Optimization Algorithm (QAOA) for qudits. The results show that high fidelity ( > 0.99) is achievable with sufficient computational effort for most cases under study, and extensions to multiple modes and open, noisy systems are possible. The tailored pulses can be stored and used as calibrated primitives for a future compiler in circuit quantum electrodynamics (cQED) systems.
引用
收藏
页数:9
相关论文
共 56 条
  • [41] Quantum computing by an optimal control algorithm for unitary transformations
    Palao, JP
    Kosloff, R
    [J]. PHYSICAL REVIEW LETTERS, 2002, 89 (18) : 1 - 188301
  • [42] Petersson N, 2021, Arxiv, DOI [arXiv:2106.14310, DOI arXiv:2106.14310.v1]
  • [43] Petersson NA., 2021, US
  • [44] Quantum annealing in spin-boson model: from a perturbative to an ultrastrong mediated coupling
    Pino, Manuel
    Jose Garcia-Ripoll, Juan
    [J]. NEW JOURNAL OF PHYSICS, 2018, 20
  • [45] Quantum Computing in the NISQ era and beyond
    Preskill, John
    [J]. QUANTUM, 2018, 2
  • [46] Optimal control methods for quantum gate preparation: a comparative study
    Riaz, Bilal
    Shuang, Cong
    Qamar, Shahid
    [J]. QUANTUM INFORMATION PROCESSING, 2019, 18 (04)
  • [47] Three-Dimensional Superconducting Resonators at T < 20 mK with Photon Lifetimes up to τ=2 s
    Romanenko, A.
    Pilipenko, R.
    Zorzetti, S.
    Frolov, D.
    Awida, M.
    Belomestnykh, S.
    Posen, S.
    Grassellino, A.
    [J]. PHYSICAL REVIEW APPLIED, 2020, 13 (03):
  • [48] Resource-efficient digital quantum simulation of d-level systems for photonic, vibrational, and spin-s Hamiltonians
    Sawaya, Nicolas P. D.
    Menke, Tim
    Kyaw, Thi Ha
    Johri, Sonika
    Aspuru-Guzik, Alan
    Guerreschi, Gian Giacomo
    [J]. NPJ QUANTUM INFORMATION, 2020, 6 (01)
  • [49] Unraveling the origin of higher success probabilities in quantum annealing versus semi-classical annealing
    Starchl, Elias
    Ritsch, Helmut
    [J]. JOURNAL OF PHYSICS B-ATOMIC MOLECULAR AND OPTICAL PHYSICS, 2022, 55 (02)
  • [50] Enabling Pulse-Level Programming, Compilation, and Execution in XACC
    Thien Nguyen
    McCaskey, Alexander
    [J]. IEEE TRANSACTIONS ON COMPUTERS, 2022, 71 (03) : 547 - 558