Search

Article

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

New progress of silicon-based semiconductor quantum computation

Wang Ning Wang Bao-Chuan Guo Guo-Ping

Citation:

New progress of silicon-based semiconductor quantum computation

Wang Ning, Wang Bao-Chuan, Guo Guo-Ping
PDF
HTML
Get Citation
  • Spin qubits in silicon-based semiconductor quantum dots have become one of the prominent candidates for realizing fault-tolerant quantum computing due to their long coherence time, good controllability, and compatibility with modern advanced integrated circuit manufacturing processes. In recent years, due to the remarkable advances in silicon-based materials, the structure of quantum dot and its fabrication process, and qubit manipulation technology, the great progress of high-fidelity state preparation and readout, single- and two-qubit gates of spin qubits for silicon based semiconductor quantum computation has been achieved. The control fidelities for single- and two-qubit gates all exceed 99%—fault tolerance threshold required by the surface code known for its exceptionally high tolerance to errors. In this paper, we briefly introduce the basic concepts of silicon-based semiconductor quantum dots, discuss the state-of-art technologies used to improve the fidelities of single- and two-qubit gates, and finally highlight the research directions that should be focused on.This paper is organized as follows. Firstly, we introduce three major types of quantum dot (QD) devices fabricated on different silicon-based substrates, including Si/SiGe heterojunction and Si/SiO2. The spin degree of electron or nucleus hosted in QD can be encoded into spin qubits. Electron spin qubits can be thermally initialized to ground state by using an electron reservoirs, and can be read out by spin-charge conversion mechanism: energy-selective readout (Elzerman readout) with reservoirs or Pauli spin blockade (PSB) without reservoirs. Additionally, high fidelity single-shot readout has been demonstrated by using radio-frequency gate reflectometry combined with the PSB, which has unique advantages in large-scale qubit array. To coherently control the spin qubits, electron dipole resonance (ESR) or electron dipole spin resonance (EDSR) for electron and nuclear magnetic resonance (NMR) for nucleus are introduced. With the help of isotope purification greatly improving the dephasing time of qubit and fast single-qubit manipulation based on EDSR, fidelity above 99.9% can be reached. For the two-qubit gates based on exchange interaction between electron spins, the strength of interaction $ J $ combined with Zeeman energy difference $ \Delta {E}_{z} $ determines the energy levels of system, which lead to the different two-qubit gates, such as controlled-Z (CZ), controlled-Rotation (CROT), and the square root of the SWAP gate ($ \sqrt{\rm{S}\rm{W}\rm{A}\rm{P}} $) gates. In order to improve the fidelity of two-qubit gates, a series of key technologies is used experimentally, they being isotope purification, symmetry operation, careful Hamiltonian engineering, and gate set tomography. Fidelity of two-qubit gates exceeding 99% has been demonstrated for electron spin qubits in Si/SiGe quantum dots and nuclear spin qubits in donors. These advances have pushed the silicon-based spin qubit platform to become a major stepping stone towards fault-tolerant quantum computation. Finally, we discuss the future study of spin qubits, that is, how to effectively expand the number of qubits, and many other problems to be explored and solved.
      Corresponding author: Guo Guo-Ping, gpguo@ustc.edu.cn
    [1]

    Fowler A G, Mariantoni M, Martinis J M, Cleland A N 2012 Phys. Rev. A 86 032324Google Scholar

    [2]

    Zhang X, Li H O, Cao G, Xiao M, Guo G C, Guo G P 2019 Natl. Sci. Rev. 6 32Google Scholar

    [3]

    Sun Z, H, Wang B C, Wang N, Liu H, W, Cao G, Li H O, Guo G P 2022 Low. Temp. Phys. Lett. 43 0165Google Scholar

    [4]

    Hu R Z, Ma R L, Ni M, Zhang X, Zhou Y, Wang K, Luo G, Cao G, Kong Z Z, Wang G L, Li H O, Guo G P 2021 Nanomaterials 11 2486Google Scholar

    [5]

    Zhang X, Hu R Z, Li H O, Jing F M, Zhou Y, Ma R L, Ni M, Luo G, Cao G, Wang G L, Hu X, Jiang H W, Guo G C, Guo G P 2020 Phys. Rev. Lett. 124 257701Google Scholar

    [6]

    Pla J J, Tan K Y, Dehollain J P, Lim W H, Morton J J L, Jamieson D N, Dzurak A S, Morello A 2012 Nature 489 541Google Scholar

    [7]

    Morello A, Pla J J, Zwanenburg F A, Chan Kok W, Tan K Y, Huebl H, Möttönen M, Nugroho C D, Yang C Y, van Donkelaar J A, Alves A D C, Jamieson D N, Escott C C, Hollenberg L C L, Clark R G, Dzurak A S 2010 Nature 467 687Google Scholar

    [8]

    Yoneda J, Takeda K, Otsuka T, Nakajima T, Delbecq M R, Allison G, Honda T, Kodera T, Oda S, Hoshi Y, Usami N, Itoh K M, Tarucha S 2018 Nat. Nanotechnol. 13 102Google Scholar

    [9]

    Veldhorst M, Hwang J C C, Yang C H, Leenstra A W, de Ronde B, Dehollain J P, Muhonen J T, Hudson F E, Itoh K M, Morello A, Dzurak A S 2014 Nat. Nanotechnol. 9 981Google Scholar

    [10]

    Takeda K, Kamioka J, Otsuka T, Yoneda J, Nakajima T, Delbecq M R, Amaha S, Allison G, Kodera T, Oda S, Tarucha S 2016 Sci. Adv. 2 e1600694Google Scholar

    [11]

    Veldhorst M, Yang C H, Hwang J C C, Huang W, Dehollain J P, Muhonen J T, Simmons S, Laucht A, Hudson F E, Itoh K M, Morello A, Dzurak A S 2015 Nature 526 410Google Scholar

    [12]

    Watson T F, Philips S G J, Kawakami E, Ward D R, Scarlino P, Veldhorst M, Savage D E, Lagally M G, Friesen M, Coppersmith S N, Eriksson M A, Vandersypen L M K 2018 Nature 555 633Google Scholar

    [13]

    Zajac D M, Sigillito A J, Russ M, Borjans F, Taylor J M, Burkard G, Petta J R 2018 Science 359 439Google Scholar

    [14]

    He Y, Gorman S K, Keith D, Kranz L, Keizer J G, Simmons M Y 2019 Nature 571 371Google Scholar

    [15]

    Huang W, Yang C H, Chan K W, Tanttu T, Hensen B, Leon R C C, Fogarty M A, Hwang J C C, Hudson F E, Itoh K M, Morello A, Laucht A, Dzurak A S 2019 Nature 569 532Google Scholar

    [16]

    Takeda K, Noiri A, Nakajima T, Yoneda J, Kobayashi T, Tarucha S 2021 Nat. Nanotechnol. 16 695

    [17]

    Mądzik M T, Asaad S, Youssry A, Joecker B, Rudinger K M, Nielsen E, Young K C, Proctor T J, Baczewski A D, Laucht A, Schmitt V, Hudson F E, Itoh K M, Jakob A M, Johnson B C, Jamieson D N, Dzurak A S, Ferrie C, Blume-Kohout R, Morello A 2022 Nature 601 348Google Scholar

    [18]

    Philips S G J, Mądzik M T, Amitonov S V, de Snoo S L, Russ M, Kalhor N, Volk C, Lawrie W I L, Brousse D, Tryputen L, Wuetz B P, Sammak A, Veldhorst M, Scappucci G, Vandersypen L M K 2022 Nature 609 919Google Scholar

    [19]

    Petit L, Eenink H G J, Russ M, Lawrie W I L, Hendrickx N W, Philips S G J, Clarke J S, Vandersypen L M K, Veldhorst M 2020 Nature 580 355Google Scholar

    [20]

    Yang C H, Leon R C C, Hwang J C C, Saraiva A, Tanttu T, Huang W, Camirand Lemyre J, Chan K W, Tan K Y, Hudson F E, Itoh K M, Morello A, Pioro-Ladrière M, Laucht A, Dzurak A S 2020 Nature 580 350Google Scholar

    [21]

    Mi X, Benito M, Putz S, Zajac D M, Taylor J M, Burkard G, Petta J R 2018 Nature 555 599Google Scholar

    [22]

    Samkharadze N, Zheng G, Kalhor N, Brousse D, Sammak A, Mendes U C, Blais A, Scappucci G, Vandersypen L M K 2018 Science 359 1123Google Scholar

    [23]

    Borjans F, Croot X G, Mi X, Gullans M J, Petta J R 2020 Nature 577 195Google Scholar

    [24]

    Zwerver A M J, Krähenmann T, Watson T F, Lampert L, George H C, Pillarisetty R, Bojarski S A, Amin P, Amitonov S V, Boter J M, Caudillo R, Correas-Serrano D, Dehollain J P, Droulers G, Henry E M, Kotlyar R, Lodari M, Lüthi F, Michalak D J, Mueller B K, Neyens S, Roberts J, Samkharadze N, Zheng G, Clarke J S 2022 Nat. Electron. 5 184Google Scholar

    [25]

    Xue X, Russ M, Samkharadze N, Undseth B, Sammak A, Scappucci G, Vandersypen L M K 2022 Nature 601 343Google Scholar

    [26]

    Noiri A, Takeda K, Nakajima T, Kobayashi T, Sammak A, Scappucci G, Tarucha S 2022 Nature 601 338Google Scholar

    [27]

    Mills A R, Guinn C R, Gullans M J, Sigillito A J, Feldman M M, Nielsen E, Petta J R 2022 Sci Adv. 8 eabn5130Google Scholar

    [28]

    Pla J J, Tan K Y, Dehollain J P, Lim W H, Morton J J L, Zwanenburg F A, Jamieson D N, Dzurak A S, Morello A 2013 Nature 496 334Google Scholar

    [29]

    Urdampilleta M, Niegemann D J, Chanrion E, Jadot B, Spence C, Mortemousque P A, Bäuerle C, Hutin L, Bertrand B, Barraud S, Maurand R, Sanquer M, Jehl X, De Franceschi S, Vinet M, Meunier T 2019 Nat. Nanotechnol. 14 737Google Scholar

    [30]

    West A, Hensen B, Jouan A, Tanttu T, Yang C H, Rossi A, Gonzalez-Zalba M F, Hudson F, Morello A, Reilly D J, Dzurak A S 2019 Nat. Nanotechnol. 14 437Google Scholar

    [31]

    Zhang X, Zhou Y, Hu R Z, Ma R L, Ni M, Wang K, Luo G, Cao G, Wang G L, Huang P H, Hu X D, Jiang H W, Li H O, Guo G C, Guo G P 2021 Phys. Rev. Appl. 15 044042Google Scholar

    [32]

    Muhonen J T, Dehollain J P, Laucht A, Hudson F E, Kalra R, Sekiguchi T, Itoh K M, Jamieson D N, McCallum J C, Dzurak A S, Morello A 2014 Nat. Nanotechnol. 9 986Google Scholar

    [33]

    Fogarty M A, Veldhorst M, Harper R, Yang C H, Bartlett S D, Flammia S T, Dzurak A S 2015 Phys. Rev. A 92 022326Google Scholar

    [34]

    Yang C H, Chan K W, Harper R, Huang W, Evans T, Hwang J C C, Hensen B, Laucht A, Tanttu T, Hudson F E, Flammia S T, Itoh K M, Morello A, Bartlett S D, Dzurak A S 2019 Nat. Electron. 2 151Google Scholar

    [35]

    Dehollain J P, Muhonen J T, Blume-Kohout R, Rudinger K M, Gamble J K, Nielsen E, Laucht A, Simmons S, Kalra R, Dzurak A S, Morello A 2016 New J. Phys. 18 103018Google Scholar

    [36]

    Meunier T, Calado V E, Vandersypen L M K 2021 Phys. Rev. B 83 121403Google Scholar

    [37]

    Xue X, Patra B, van Dijk J P G, et al. 2021 Nature 593 205Google Scholar

  • 图 1  三种主要的硅基半导体量子点实验装置图 (a) Si/SiGe异质结四量子点装置图[3]; (b) SiMOS双量子点装置图[4]; (c) 硅中掺31P原子量子点装置图[6]

    Figure 1.  Three major silicon-based semiconductor quantum dot devices: (a) Quadruple quantum dot with its schematic of the cross-section in Si/SiGe heterojunction[3]; (b) SiMOS double quantum dot and its schematic of cross-section[4]; (c) quantum dot device with 31P atoms in silicon[6].

    图 2  自旋量子比特的初始化及读出示意图 (a) 电子自旋初始化; (b) 借助电子库的能量选择读出; (c) 基于耦合双量子点的泡利自旋阻塞读出; (d) 基于量子点栅极的射频读出线路图[29]

    Figure 2.  Schematic diagram of initialization and readout of electron spin qubit: (a) Electron spin initialization; (b) energy-selective readout with the aid of reservoirs; (c) Pauli spin blocked readout based on coupled double quantum dots; (d) the circuit diagram of gate-based radiofrequency readout[29].

    图 3  电子自旋量子比特的相干操控 (a) 电子自旋量子比特的布洛赫球表示; (b) 基于微磁体的EDSR操控原理图[8]; (c) 利用EDSR技术实现的电子自旋量子比特Rabi振荡[8]

    Figure 3.  Coherent manipulation of the electron spin qubits: (a) Bloch sphere of an electron spin qubit; (b) micro-magnet-based EDSR manipulation of spin qubit[8]; (c) Rabi oscillation of electron spin qubit using EDSR technology[8].

    图 4  基于交换相互作用的两比特逻辑门 (a) 两比特系统能级与失谐的关系($ J\ll \Delta {E}_{z} $); (b) 交换耦合打开和关闭时的能级图; (c) CROT门[13]; (d) CPhase门[11]; (e) $ \left|S\right.\rangle $$ \left|{T}_{0}\right.\rangle $态的布洛赫球表示; (f) 交换相互作用驱动下的相干自旋-自旋振荡[14]

    Figure 4.  Two-qubit gates for electron spin qubits based on exchange interaction. (a) Energy level diagram of two spin qubits as a function of detuning when $ J\ll \Delta {E}_{z} $; (b) energy level diagram when exchange coupling off (left) and on (right); (c) CROT gate[13]; (d) CPhase gate[11]; (e) Bloch-sphere representation of the $S\text-{T}_{0}$ states; (f) exchange-driven coherent spin-spin oscillations[14].

    图 5  高保真度CZ门[25] (a) 28Si/SiGe双量子点实验装置图; (b) 电荷稳定图及对称操作点; (c) 交换相互作用与点间势垒电压的关系; (d) 用于调控交换耦合的脉冲波形; (e) 基于门集断层成像的两比特CZ门保真度表征结果

    Figure 5.  High fidelity CZ gate in 28Si/SiGe quantum dots[25]: (a) SEM image of double quantum dot device; (b) symmetry operation point in the charge-stability diagram; (c) exchange strength as a function of barrier pulse amplitude; (d) the exchange pulse for high fidelity CZ gate; (e) gate-set tomography for CZ gate.

    图 6  高保真度的CROT门[26] (a) 28Si/SiGe三量子点实验装置图; (b) EDSR能谱; (c) 比特退相干时间以及(d) Rabi振荡幅值与Rabi频率(交换相互作用$ J $)的关系; (e) 单比特门以及(f) 两比特逻辑门保真度与Rabi频率(交换相互作用$ J $)的关系

    Figure 6.  High fidelity CROT gate in 28Si/SiGe quantum dots[26]: (a) SEM image of the triple quantum dots device; (b) EDSR spectra for Q1 and Q2; (c) Rabi frequency dependance of the dephasing time and (d) Rabi decay during CROT gate; (e) Rabi frequency dependance of single-qubit gate and (f) two-qubit gate fidelity.

    图 7  几何CZ门[17] (a) 两个核自旋耦合到同一个电子的装置示意图; (b) 电子波函数的空间分布; (c) 核自旋的NMR能谱以及电子自旋的ESR能谱; (d) 几何CZ门的实现过程

    Figure 7.  Geometric two-qubit CZ gate[17]: (a) Schematic diagram of a pair of 31P nuclei (red) asymmetrically coupled to the same electron (blue); (b) spatial distribution of electron wave function around two nuclear spins; (c) NMR spectra for nuclei spins and ESR spectra for electron spin; (d) implementation of a geometric two-qubit CZ gate.

    Baidu
  • [1]

    Fowler A G, Mariantoni M, Martinis J M, Cleland A N 2012 Phys. Rev. A 86 032324Google Scholar

    [2]

    Zhang X, Li H O, Cao G, Xiao M, Guo G C, Guo G P 2019 Natl. Sci. Rev. 6 32Google Scholar

    [3]

    Sun Z, H, Wang B C, Wang N, Liu H, W, Cao G, Li H O, Guo G P 2022 Low. Temp. Phys. Lett. 43 0165Google Scholar

    [4]

    Hu R Z, Ma R L, Ni M, Zhang X, Zhou Y, Wang K, Luo G, Cao G, Kong Z Z, Wang G L, Li H O, Guo G P 2021 Nanomaterials 11 2486Google Scholar

    [5]

    Zhang X, Hu R Z, Li H O, Jing F M, Zhou Y, Ma R L, Ni M, Luo G, Cao G, Wang G L, Hu X, Jiang H W, Guo G C, Guo G P 2020 Phys. Rev. Lett. 124 257701Google Scholar

    [6]

    Pla J J, Tan K Y, Dehollain J P, Lim W H, Morton J J L, Jamieson D N, Dzurak A S, Morello A 2012 Nature 489 541Google Scholar

    [7]

    Morello A, Pla J J, Zwanenburg F A, Chan Kok W, Tan K Y, Huebl H, Möttönen M, Nugroho C D, Yang C Y, van Donkelaar J A, Alves A D C, Jamieson D N, Escott C C, Hollenberg L C L, Clark R G, Dzurak A S 2010 Nature 467 687Google Scholar

    [8]

    Yoneda J, Takeda K, Otsuka T, Nakajima T, Delbecq M R, Allison G, Honda T, Kodera T, Oda S, Hoshi Y, Usami N, Itoh K M, Tarucha S 2018 Nat. Nanotechnol. 13 102Google Scholar

    [9]

    Veldhorst M, Hwang J C C, Yang C H, Leenstra A W, de Ronde B, Dehollain J P, Muhonen J T, Hudson F E, Itoh K M, Morello A, Dzurak A S 2014 Nat. Nanotechnol. 9 981Google Scholar

    [10]

    Takeda K, Kamioka J, Otsuka T, Yoneda J, Nakajima T, Delbecq M R, Amaha S, Allison G, Kodera T, Oda S, Tarucha S 2016 Sci. Adv. 2 e1600694Google Scholar

    [11]

    Veldhorst M, Yang C H, Hwang J C C, Huang W, Dehollain J P, Muhonen J T, Simmons S, Laucht A, Hudson F E, Itoh K M, Morello A, Dzurak A S 2015 Nature 526 410Google Scholar

    [12]

    Watson T F, Philips S G J, Kawakami E, Ward D R, Scarlino P, Veldhorst M, Savage D E, Lagally M G, Friesen M, Coppersmith S N, Eriksson M A, Vandersypen L M K 2018 Nature 555 633Google Scholar

    [13]

    Zajac D M, Sigillito A J, Russ M, Borjans F, Taylor J M, Burkard G, Petta J R 2018 Science 359 439Google Scholar

    [14]

    He Y, Gorman S K, Keith D, Kranz L, Keizer J G, Simmons M Y 2019 Nature 571 371Google Scholar

    [15]

    Huang W, Yang C H, Chan K W, Tanttu T, Hensen B, Leon R C C, Fogarty M A, Hwang J C C, Hudson F E, Itoh K M, Morello A, Laucht A, Dzurak A S 2019 Nature 569 532Google Scholar

    [16]

    Takeda K, Noiri A, Nakajima T, Yoneda J, Kobayashi T, Tarucha S 2021 Nat. Nanotechnol. 16 695

    [17]

    Mądzik M T, Asaad S, Youssry A, Joecker B, Rudinger K M, Nielsen E, Young K C, Proctor T J, Baczewski A D, Laucht A, Schmitt V, Hudson F E, Itoh K M, Jakob A M, Johnson B C, Jamieson D N, Dzurak A S, Ferrie C, Blume-Kohout R, Morello A 2022 Nature 601 348Google Scholar

    [18]

    Philips S G J, Mądzik M T, Amitonov S V, de Snoo S L, Russ M, Kalhor N, Volk C, Lawrie W I L, Brousse D, Tryputen L, Wuetz B P, Sammak A, Veldhorst M, Scappucci G, Vandersypen L M K 2022 Nature 609 919Google Scholar

    [19]

    Petit L, Eenink H G J, Russ M, Lawrie W I L, Hendrickx N W, Philips S G J, Clarke J S, Vandersypen L M K, Veldhorst M 2020 Nature 580 355Google Scholar

    [20]

    Yang C H, Leon R C C, Hwang J C C, Saraiva A, Tanttu T, Huang W, Camirand Lemyre J, Chan K W, Tan K Y, Hudson F E, Itoh K M, Morello A, Pioro-Ladrière M, Laucht A, Dzurak A S 2020 Nature 580 350Google Scholar

    [21]

    Mi X, Benito M, Putz S, Zajac D M, Taylor J M, Burkard G, Petta J R 2018 Nature 555 599Google Scholar

    [22]

    Samkharadze N, Zheng G, Kalhor N, Brousse D, Sammak A, Mendes U C, Blais A, Scappucci G, Vandersypen L M K 2018 Science 359 1123Google Scholar

    [23]

    Borjans F, Croot X G, Mi X, Gullans M J, Petta J R 2020 Nature 577 195Google Scholar

    [24]

    Zwerver A M J, Krähenmann T, Watson T F, Lampert L, George H C, Pillarisetty R, Bojarski S A, Amin P, Amitonov S V, Boter J M, Caudillo R, Correas-Serrano D, Dehollain J P, Droulers G, Henry E M, Kotlyar R, Lodari M, Lüthi F, Michalak D J, Mueller B K, Neyens S, Roberts J, Samkharadze N, Zheng G, Clarke J S 2022 Nat. Electron. 5 184Google Scholar

    [25]

    Xue X, Russ M, Samkharadze N, Undseth B, Sammak A, Scappucci G, Vandersypen L M K 2022 Nature 601 343Google Scholar

    [26]

    Noiri A, Takeda K, Nakajima T, Kobayashi T, Sammak A, Scappucci G, Tarucha S 2022 Nature 601 338Google Scholar

    [27]

    Mills A R, Guinn C R, Gullans M J, Sigillito A J, Feldman M M, Nielsen E, Petta J R 2022 Sci Adv. 8 eabn5130Google Scholar

    [28]

    Pla J J, Tan K Y, Dehollain J P, Lim W H, Morton J J L, Zwanenburg F A, Jamieson D N, Dzurak A S, Morello A 2013 Nature 496 334Google Scholar

    [29]

    Urdampilleta M, Niegemann D J, Chanrion E, Jadot B, Spence C, Mortemousque P A, Bäuerle C, Hutin L, Bertrand B, Barraud S, Maurand R, Sanquer M, Jehl X, De Franceschi S, Vinet M, Meunier T 2019 Nat. Nanotechnol. 14 737Google Scholar

    [30]

    West A, Hensen B, Jouan A, Tanttu T, Yang C H, Rossi A, Gonzalez-Zalba M F, Hudson F, Morello A, Reilly D J, Dzurak A S 2019 Nat. Nanotechnol. 14 437Google Scholar

    [31]

    Zhang X, Zhou Y, Hu R Z, Ma R L, Ni M, Wang K, Luo G, Cao G, Wang G L, Huang P H, Hu X D, Jiang H W, Li H O, Guo G C, Guo G P 2021 Phys. Rev. Appl. 15 044042Google Scholar

    [32]

    Muhonen J T, Dehollain J P, Laucht A, Hudson F E, Kalra R, Sekiguchi T, Itoh K M, Jamieson D N, McCallum J C, Dzurak A S, Morello A 2014 Nat. Nanotechnol. 9 986Google Scholar

    [33]

    Fogarty M A, Veldhorst M, Harper R, Yang C H, Bartlett S D, Flammia S T, Dzurak A S 2015 Phys. Rev. A 92 022326Google Scholar

    [34]

    Yang C H, Chan K W, Harper R, Huang W, Evans T, Hwang J C C, Hensen B, Laucht A, Tanttu T, Hudson F E, Flammia S T, Itoh K M, Morello A, Bartlett S D, Dzurak A S 2019 Nat. Electron. 2 151Google Scholar

    [35]

    Dehollain J P, Muhonen J T, Blume-Kohout R, Rudinger K M, Gamble J K, Nielsen E, Laucht A, Simmons S, Kalra R, Dzurak A S, Morello A 2016 New J. Phys. 18 103018Google Scholar

    [36]

    Meunier T, Calado V E, Vandersypen L M K 2021 Phys. Rev. B 83 121403Google Scholar

    [37]

    Xue X, Patra B, van Dijk J P G, et al. 2021 Nature 593 205Google Scholar

  • [1] Jiang Da, Yu Dong-Yang, Zheng Zhan, Cao Xiao-Chao, Lin Qiang, Liu Wu-Ming. Research progress of material, physics, and device of topological superconductors for quantum computing. Acta Physica Sinica, 2022, 71(16): 160302. doi: 10.7498/aps.71.20220596
    [2] Wang Mei-Hong, Hao Shu-Hong, Qin Zhong-Zhong, Su Xiao-Long. Research advances in continuous-variable quantum computation and quantum error correction. Acta Physica Sinica, 2022, 71(16): 160305. doi: 10.7498/aps.71.20220635
    [3] Wang Chen-Xu, He Ran, Li Rui-Rui, Chen Yan, Fang Ding, Cui Jin-Ming, Huang Yun-Feng, Li Chuan-Feng, Guo Guang-Can. Advances in the study of ion trap structures in quantum computation and simulation. Acta Physica Sinica, 2022, 71(13): 133701. doi: 10.7498/aps.71.20220224
    [4] Zhou Zong-Quan. “Quantum memory” quantum computers and noiseless phton echoes. Acta Physica Sinica, 2022, 71(7): 070305. doi: 10.7498/aps.71.20212245
    [5] Zhang Jie-Yin, Gao Fei, Zhang Jian-Jun. Research progress of silicon and germanium quantum computing materials. Acta Physica Sinica, 2021, 70(21): 217802. doi: 10.7498/aps.70.20211492
    [6] Zhang Shi-Hao, Zhang Xiang-Dong, Li Lü-Zhou. Research progress of measurement-based quantum computation. Acta Physica Sinica, 2021, 70(21): 210301. doi: 10.7498/aps.70.20210923
    [7] He Ying-Ping, Hong Jian-Song, Liu Xiong-Jun. Non-abelian statistics of Majorana modes and the applications to topological quantum computation. Acta Physica Sinica, 2020, 69(11): 110302. doi: 10.7498/aps.69.20200812
    [8] Zhao Shi-Ping, Liu Yu-Xi, Zheng Dong-Ning. Novel superconducting qubits and quantum physics. Acta Physica Sinica, 2018, 67(22): 228501. doi: 10.7498/aps.67.20180845
    [9] Fan Heng. Quantum computation and quantum simulation. Acta Physica Sinica, 2018, 67(12): 120301. doi: 10.7498/aps.67.20180710
    [10] Pan Jian, Yu Qi, Peng Xin-Hua. Experimental technique for multi-qubit nuclear magnetic resonance system. Acta Physica Sinica, 2017, 66(15): 150302. doi: 10.7498/aps.66.150302
    [11] Jia Fang, Liu Cun-Jin, Hu Yin-Quan, Fan Hong-Yi. New formula for calculating the fidelity of teleportation and its applications. Acta Physica Sinica, 2016, 65(22): 220302. doi: 10.7498/aps.65.220302
    [12] Yang Guang, Lian Bao-Wang, Nie Min. Fidelity recovery scheme for quantum teleportation in amplitude damping channel. Acta Physica Sinica, 2015, 64(1): 010303. doi: 10.7498/aps.64.010303
    [13] Zhao Na, Liu Jian-She, Li Tie-Fu, Chen Wei. Progress of coupled superconducting qubits. Acta Physica Sinica, 2013, 62(1): 010301. doi: 10.7498/aps.62.010301
    [14] Nie Min, Zhang Lin, Liu Xiao-Hui. Poisson survival model of quantum entanglement signaling network and fidelity analysis. Acta Physica Sinica, 2013, 62(23): 230303. doi: 10.7498/aps.62.230303
    [15] Zhao Jian-Hui. Ground state phase diagram of the quantum spin 1 Blume-Capel model: reduced density fidelity study. Acta Physica Sinica, 2012, 61(22): 220501. doi: 10.7498/aps.61.220501
    [16] Fang Mao-Fa, Peng Xiao-Fang, Liao Xiang-Ping, Pan Chang-Ning, Fang Jian-Shu. Fidelity of quantum teleportation of atomic-state in dissipative environment. Acta Physica Sinica, 2011, 60(9): 090303. doi: 10.7498/aps.60.090303
    [17] Ye Bin, Xu Wen-Bo, Gu Bin-Jie. Robust quantum computation of the quantum kicked Harper model and dissipative decoherence. Acta Physica Sinica, 2008, 57(2): 689-695. doi: 10.7498/aps.57.689
    [18] Xia Yun-Jie, Wang Guang-Hui, Du Shao-Jiang. Fidelity of the scheme of continunous variables quantum teleportation via minimum-correlation mixed quantum states. Acta Physica Sinica, 2007, 56(8): 4331-4336. doi: 10.7498/aps.56.4331
    [19] Zhang Deng-Yu, Guo Ping, Gao Feng. Fidelity of two-level atoms’ quantum states in a strong thermal radiation field. Acta Physica Sinica, 2007, 56(4): 1906-1910. doi: 10.7498/aps.56.1906
    [20] Ye Bin, Gu Rui-Jun, Xu Wen-Bo. Robust quantum computation of the kicked Harper model and quantum chaos. Acta Physica Sinica, 2007, 56(7): 3709-3718. doi: 10.7498/aps.56.3709
Metrics
  • Abstract views:  8429
  • PDF Downloads:  462
  • Cited By: 0
Publishing process
  • Received Date:  30 September 2022
  • Accepted Date:  30 October 2022
  • Available Online:  02 November 2022
  • Published Online:  05 December 2022

/

返回文章
返回
Baidu
map