Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems

التفاصيل البيبلوغرافية
العنوان: Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems
المؤلفون: Maciejewski, Filip B., Hadfield, Stuart, Hall, Benjamin, Hodson, Mark, Dupont, Maxime, Evert, Bram, Sud, James, Alam, M. Sohaib, Wang, Zhihui, Jeffrey, Stephen, Sundar, Bhuvanesh, Lott, P. Aaron, Grabbe, Shon, Rieffel, Eleanor G., Reagor, Matthew J., Venturelli, Davide
سنة النشر: 2023
المجموعة: Computer Science
Quantum Physics
مصطلحات موضوعية: Quantum Physics, Computer Science - Emerging Technologies
الوصف: We develop a hardware-efficient ansatz for variational optimization, derived from existing ansatze in the literature, that parametrizes subsets of all interactions in the Cost Hamiltonian in each layer. We treat gate orderings as a variational parameter and observe that doing so can provide significant performance boosts in experiments. We carried out experimental runs of a compilation-optimized implementation of fully-connected Sherrington-Kirkpatrick Hamiltonians on a 50-qubit linear-chain subsystem of Rigetti Aspen-M-3 transmon processor. Our results indicate that, for the best circuit designs tested, the average performance at optimized angles and gate orderings increases with circuit depth (using more parameters), despite the presence of a high level of noise. We report performance significantly better than using a random guess oracle for circuits involving up to approx 5000 two-qubit and approx 5000 one-qubit native gates. We additionally discuss various takeaways of our results toward more effective utilization of current and future quantum processors for optimization.
Comment: v2: extended experimental results, updated references, fixed typos; v3: improved main narrations, added new experimental data and analysis, updated references, fixed typos; 15+8 pages; 3+5 figures
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2308.12423
رقم الأكسشن: edsarx.2308.12423
قاعدة البيانات: arXiv