Literature DB >> 29650670

A blueprint for demonstrating quantum supremacy with superconducting qubits.

C Neill1, P Roushan2, K Kechedzhi3,4, S Boixo2, S V Isakov2, V Smelyanskiy2, A Megrant2, B Chiaro5, A Dunsworth5, K Arya2, R Barends2, B Burkett2, Y Chen2, Z Chen5, A Fowler2, B Foxen5, M Giustina2, R Graff2, E Jeffrey2, T Huang2, J Kelly2, P Klimov2, E Lucero2, J Mutus2, M Neeley2, C Quintana5, D Sank2, A Vainsencher2, J Wenner5, T C White2, H Neven2, J M Martinis1,2.   

Abstract

A key step toward demonstrating a quantum system that can address difficult problems in physics and chemistry will be performing a computation beyond the capabilities of any classical computer, thus achieving so-called quantum supremacy. In this study, we used nine superconducting qubits to demonstrate a promising path toward quantum supremacy. By individually tuning the qubit parameters, we were able to generate thousands of distinct Hamiltonian evolutions and probe the output probabilities. The measured probabilities obey a universal distribution, consistent with uniformly sampling the full Hilbert space. As the number of qubits increases, the system continues to explore the exponentially growing number of states. Extending these results to a system of 50 qubits has the potential to address scientific questions that are beyond the capabilities of any classical computer.
Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Year:  2018        PMID: 29650670     DOI: 10.1126/science.aao4309

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  8 in total

1.  Efficient realization of quantum primitives for Shor's algorithm using PennyLane library.

Authors:  A V Antipov; E O Kiktenko; A K Fedorov
Journal:  PLoS One       Date:  2022-07-14       Impact factor: 3.752

2.  Shuttling a single charge across a one-dimensional array of silicon quantum dots.

Authors:  A R Mills; D M Zajac; M J Gullans; F J Schupp; T M Hazard; J R Petta
Journal:  Nat Commun       Date:  2019-03-05       Impact factor: 14.919

3.  Decoding quantum errors with subspace expansions.

Authors:  Jarrod R McClean; Zhang Jiang; Nicholas C Rubin; Ryan Babbush; Hartmut Neven
Journal:  Nat Commun       Date:  2020-01-31       Impact factor: 14.919

Review 4.  Pathways to cellular supremacy in biocomputing.

Authors:  Lewis Grozinger; Martyn Amos; Thomas E Gorochowski; Pablo Carbonell; Diego A Oyarzún; Ruud Stoof; Harold Fellermann; Paolo Zuliani; Huseyin Tas; Angel Goñi-Moreno
Journal:  Nat Commun       Date:  2019-11-20       Impact factor: 14.919

5.  Information Dynamic Correlation of Vibration in Nonlinear Systems.

Authors:  Zhe Wu; Guang Yang; Qiang Zhang; Shengyue Tan; Shuyong Hou
Journal:  Entropy (Basel)       Date:  2019-12-31       Impact factor: 2.524

6.  Surpassing the classical limit in magic square game with distant quantum dots coupled to optical cavities.

Authors:  Sinan Bugu; Fatih Ozaydin; Tetsuo Kodera
Journal:  Sci Rep       Date:  2020-12-17       Impact factor: 4.379

7.  A superconducting adiabatic neuron in a quantum regime.

Authors:  Marina V Bastrakova; Dmitrii S Pashin; Dmitriy A Rybin; Andrey E Schegolev; Nikolay V Klenov; Igor I Soloviev; Anastasiya A Gorchavkina; Arkady M Satanin
Journal:  Beilstein J Nanotechnol       Date:  2022-07-14       Impact factor: 3.272

8.  QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments.

Authors:  Justyna P Zwolak; Sandesh S Kalantre; Xingyao Wu; Stephen Ragole; Jacob M Taylor
Journal:  PLoS One       Date:  2018-10-17       Impact factor: 3.240

  8 in total

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