SLIDE 1
Workshop on Theory and Practice of Adiabatic Quantum Computers and Quantum Simulations 22-26 August 2016, ICTP Trieste
High-Tc Josephson junctions for quantum computation
Boris Chesca Department of Physics, Loughborough University
Daniel John, postdoc (PhD @ Loughborough) Matthew Kemp, Jeffrey Brown, final year project students Department of Physics, Loughborough University Christopher Mellor School of Physics and Astronomy, Nottingham University
SLIDE 2
Superconductivity: conventional unconventional s-wave d-wave Josephson junctions
- Qubits & (d-wave) high-Tc Josephson junctions
- Devices with hundreds/thousends of high-Tc junctions
Flux-flow MW/THz generators Transistors Magnetic sensors (SQUIDs, SQIFs) Quantum computers?
Outline
+
SLIDE 3 ky + kx + + +
nodes sign change
2 2 y
x
d
-wave
Conventional
pairing mechanism: electron-phonon interaction
Unconventional
pairing mechanism ? total spin S=0
- rbital angular momentum L=2
Y = Y0eij
Cooper pairs
total spin S=0
- rbital angular momentum L=0
- Superconducting
- rder parameter
Superconductivity: conventional & unconventional
ky + +
SLIDE 4 Discovery of superconductors: critical temperature vs. time
Conventional superconductors
liquid Nitrogen, 77 K liquid Helium, 4.2 K
160 40 80 120 1910 1960 1980 2000 Year Temperature (Kelvin)
Hg Pb Nb NbN (1911) MgB2
HgBa2Ca2Cu4O8 Bi2Sr2Ca2Cu3O10 YBa2Cu3O7 (La/Sr)CuO4 SrTiO3 Nd2-xCexCuO4 La2-xCexCuO4 Pr2-xCexCuO4 Sr2RuO4
Nb3Ge
Hole doped cuprates Electron doped cuprates
SLIDE 5 Josephson junction: dc effect
I Ic U B
Cambridge (1962)
J = Jc sin (j2 j1)
SLIDE 6
-junction: s-wave & d-wave superconductors
D.Wollman, Van Harlingen, W.Lee, D.M.Ginsberg, A.J.Leggett, Phys.Rev.Lett. 71, 2134 (1993)
I = – Ic sin (j2 j1) =Ic sin (j2 j1+)
I
+ +
I
+
SLIDE 7 -junction & Qubits
- L. B. Ioffe et al., Nature 398, 679 (1999)
Quantum computation: a qubit with 2 persistent current states
SLIDE 8
R.R.Schulz, B. Chesca, et al., Appl. Phys. Lett. 76, 912 (2000)
hole-doped YBa2Cu3O7 -junctions: d-wave superconductors only!
SLIDE 9 I U I U 1 mm I U I U 1 mm
300 300 300
- B. Chesca et al., Phys. Rev .Lett. 90, 057004 (2003)
- 0.5
0.0 0.5 Magnetic Field ( T) Critical Current ( A)
LaCeCuO - design
voltage criterion, 2 V
Bresidual LaCeCuO 0-design Bresidual 0.0 0.1 0.0 0.1
0-design -design
electro-doped La2-xCexCuO4 -junctions: d-wave superconductors only!
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Devices with hundreds/thousends of high-Tc junctions Flux-flow MW/THz generators Transistors Magnetic sensors (SQUIDs, SQIFs) Quantum computers ?
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Flux-flow MW/THz generators why superconducting generators?
natural frequency is tunable (voltage, B field)
SLIDE 12 Superconductor Barrier Superconductor
MW/THz I Ic U supercurrent oscillates locally natural MW/THz generator
Cambridge (1962)
Josephson junction: ac effect
SLIDE 13 A vortex corresponds to a soliton propagating along the chain. Each pendulum hangs almost straight down for much of the time, but when the soliton passes by, the pendulum overturns rapidly and oscillates for the period between passing solitons. These oscillations are the analogue
- f the EM radiation excited by the vortex. A resonance occurs if the pendulum oscillates precisely
an integer number of times (m) between successive passages of the soliton;
JJ array = chain of N identical pendulums driven by a constant torque
each pendulum is damped & free to move transverse to the axis of the chain coupled to its nearest neighbours by torsional springs has an identical behaviour except for a constant shift in time.
22 x 20 asymmetrical Josephson junction array
SLIDE 14 Flux-flow @ 77 K: MW is 0.1 W @ (1.5-25) GHz
- B. Chesca, D. John, and C. Mellor, Supercond. Sci. Technol. 27, 085015 (2014)
SLIDE 15
Transistors why superconducting transistors?
high switching speed low power dissipation low noise
SLIDE 16 Flux-flow resonances: ideal for high-gain transistors
- B. Chesca, et al, Appl. Phys. Lett. 103, 092601 (2013)
SLIDE 17 Ic(Ictrl) at 77K: highly asymmetric
- B. Chesca, D. John, M. Kemp, J. Brown, and C. Mellor, Appl. Phys. Lett. 103, 092601 (2013)
SLIDE 18
Why superconducting magnetic sensors?
the best getting less expensive: 77K SQUID-arrays better than single-SQUID 4.2 K
Magnetic sensors: SQUIDs & SQIFs
SLIDE 19 SQUID arrays
SQUID 770 SQUID array
Noise Noise V V =
flux coherent & non-interacting SQUID array
NoiseArray = N1/2 NoiseSQUID VArray = N VSQUID
[ [ ] ]
SQUID Array N1/2
1
SLIDE 20 200 400 600 800 1 10
15
V, mV B, T
770 SSA
max(V)=6.8 mV T=83K
Number of SQUIDs S
1/2
(Hz
1/2)
HTS SQUID @ 77 K nano-HTS SQUID @ 4.2 K LTS SQUID @ 4.2 K 484 SSA, 40 K 770 SSA, 83 K
1/N
1/2
SQUID arrays @ 77K better than SQUIDs @ 4.2 K
- B. Chesca, J. Daniel, C. Mellor, Appl. Phys. Lett. 107, 162602 (2015)
SLIDE 21 2D 20000 SQUID arrays design
- E. E. Mitchell et al,, Supercond. Sci. Technol. 29, 06LT01 (2016)
SLIDE 22
Quantum Computers? why superconducting Quantum Computers?
D-wave produced 2 (Google and NASA)
SLIDE 23
1000 qubit processor with 128K low-Tc Josephson junctions
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Conclusions
High-Tc junctions: very significant progress simple and reliable fabrication: bicrystal, step-edge high performance devices with hundreds/thousands junctions quantum computing with high-Tc junctions worth a try !