Computation of Molecular Spectra on a Quantum Processor with an Error-Resilient Algorithm

被引:394
|
作者
Colless, J. I. [1 ,2 ]
Ramasesh, V. V. [1 ,2 ]
Dahlen, D. [1 ,2 ]
Blok, M. S. [1 ,2 ]
Kimchi-Schwartz, M. E. [1 ,2 ,6 ]
McClean, J. R. [3 ,5 ]
Carter, J. [3 ]
de Jong, W. A. [3 ]
Siddiqi, I. [1 ,2 ,4 ]
机构
[1] Univ Calif Berkeley, Dept Phys, Quantum Nanoelect Lab, Berkeley, CA 94720 USA
[2] Univ Calif Berkeley, Ctr Quantum Coherent Sci, Berkeley, CA 94720 USA
[3] Lawrence Berkeley Natl Lab, Computat Res Div, Berkeley, CA 94720 USA
[4] Lawrence Berkeley Natl Lab, Mat Sci Div, Berkeley, CA 94720 USA
[5] Google Inc, Venice, CA 90291 USA
[6] MIT, Lincoln Lab, Lexington, MA 02421 USA
来源
PHYSICAL REVIEW X | 2018年 / 8卷 / 01期
关键词
STATE;
D O I
10.1103/PhysRevX.8.011021
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Harnessing the full power of nascent quantum processors requires the efficient management of a limited number of quantum bits with finite coherent lifetimes. Hybrid algorithms, such as the variational quantum eigensolver (VQE), leverage classical resources to reduce the required number of quantum gates. Experimental demonstrations of VQE have resulted in calculation of Hamiltonian ground states, and a new theoretical approach based on a quantum subspace expansion (QSE) has outlined a procedure for determining excited states that are central to dynamical processes. We use a superconducting-qubit-based processor to apply the QSE approach to the H-2 molecule, extracting both ground and excited states without the need for auxiliary qubits or additional minimization. Further, we show that this extended protocol can mitigate the effects of incoherent errors, potentially enabling larger-scale quantum simulations without the need for complex error-correction techniques.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Error-resilient LZW data compression*
    Wu, Yonghui
    Lonardi, Stefano
    Szpankowski, Wojciech
    DCC 2006: DATA COMPRESSION CONFERENCE, PROCEEDINGS, 2006, : 193 - +
  • [22] Error-resilient motion estimation architecture
    Varatkar, Girish Vishnu
    Shanbhag, Naresh R.
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2008, 16 (10) : 1399 - 1412
  • [23] Error-resilient SPIHT image coding
    Yang, SH
    Cheng, TC
    ELECTRONICS LETTERS, 2000, 36 (03) : 208 - 210
  • [24] Error-Resilient Packet Header Compression
    Suryavanshi, Vijay
    Nosratinia, Aria
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2008, 56 (11) : 1836 - 1843
  • [25] Error-resilient optimal data compression
    Storer, JA
    Reif, JH
    SIAM JOURNAL ON COMPUTING, 1997, 26 (04) : 934 - 949
  • [26] Quantum computation with universal error mitigation on a superconducting quantum processor
    Song, Chao
    Cui, Jing
    Wang, H.
    Hao, J.
    Feng, H.
    Li, Ying
    SCIENCE ADVANCES, 2019, 5 (09):
  • [27] Low computation complexity and error-resilient video transmission for remote microscope monitoring system
    Pei, SW
    Du, MH
    He, JZ
    Wan, Q
    PROCEEDINGS OF THE 2004 INTERNATIONAL SYMPOSIUM ON INTELLIGENT MULTIMEDIA, VIDEO AND SPEECH PROCESSING, 2004, : 671 - 674
  • [28] Error-resilient multiple description coding
    Ma, Rui
    Labeau, Fabrice
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (08) : 3996 - 4007
  • [29] Error-resilient image compression based on JPEG
    Gandhi, PP
    Darlington, WE
    Dyckman, HL
    STILL-IMAGE COMPRESSION II, 1996, 2669 : 106 - 123
  • [30] Towards Error-Resilient Neural Speech Coding
    Xue, Huaying
    Peng, Xiulian
    Jiang, Xue
    Lu, Yan
    INTERSPEECH 2022, 2022, : 4217 - 4221