Cryogenic memory element based on a single Abrikosov vortex

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Cryogenic memory element based on a single Abrikosov vortex Vladimir Krasnov, T. Golod and A. Iovan Experimental Condensed Matter Physics Group Department of Physics Stockholm University AlbaNova University Center SE-10691 Stockholm, Sweden 4 September 2015, Chernogolovka

Starting with small (size) ending with LARGE (Power) MW After O. A. Mukhanov, HYPRES Inc, USA

Motivation: Superconducting Computer How many lives does it have? : USSR 80, : USA 80, : USA + Russia 90, Semiconductors beat Superconductors + Cryofobia 4: 2014 USA, Cryogenic Computing Complexity (C3) program http://www.iarpa.gov/index.php/researchprograms/c3/baa Power management problem for semiconductor technology. Maintenance costs exceed the cost of refrigeration For an exaflop computer P ~ 100 MW. S-computer would not only drastically decrease the consumed power, but could also greatly increase the operation speed. Lack of suitable cryogenic random access memory (RAM) is the main obstacle to the realization of high performance computer systems and signal processors based on superconducting electronics. Ortlepp, T., and Van Duzer, T., IEEE Trans. Appl. Supercond., 24, 1300307 (2014).

SFQ memory: Flux quantum in a double SQUID loop Major scalability problem: I write = Φ0 / L 256 bit VT-RAM Ortlepp, T., and Van Duzer, T., IEEE Trans. Appl. Supercond., 24, 1300307 (2014). Nagasawa, S. Hinode, K., Satoh, T., Kitagawa, Y., and Hidaka, M., SuST 19, S325 (2006).

Proposed SFS memory cells (MRAM-like) Larkin, T.I., Bolginov, V. V., Stolyarov, V. S., Ryazanov, V.V., Vernik, I.V., Tolpygo, S. K., and Mukhanov, O.A., Ferromagnetic Josephson switching device with high characteristic voltage, Appl. Phys. Lett., 100, 222601 (2012). Herr, A.Y., and Herr, Q.P., US patent No US8270209 B2, Josephson magnetic Random Access Memory System and Method (2012); Naaman, O., Miller, D., Herr, A.Y., and Birge, N. O., patent application WO2013180946 A1, Josephson magnetic memory cell system (2013). Zdravkov, V. I., Lenk, D., Morari, R., Ullrich, A., Obermeier, G., Muller,C., Krug von Nidda, H.-A., Sidorenko, A. S., Horn, S., Tidecks, R., and Tagirov, L. R., Memory effect and triplet pairing generation in the superconducting exchange biased Co/CoOx/Cu41Ni59/Nb/Cu41Ni59 layered heterostructure Appl. Phys. Lett., 103, 062604 (2013). Baek, B, Rippard, W. H., Benz, S. P., Russek, S. E., and Dresselhaus, P. D., Hybrid superconducting-magnetic memory device using competing order parameters, Nat. Commun., 5, 3888 (2014) doi: 10.1038/ncomms4888. Nevirkovets, I.P., Chernyashevskyy, O., Prokopenko, G.V., Mukhanov, O.A., and Ketterson, J.B., Superconducting-Ferromagnetic Transistor. IEEE Trans.Appl. Supercond., 24, 1800506 (2014). Performance remains to be studied

Abrikosov vortex RAM : AVRAM Short range: r~λ. Magnetic Field/Flux, Circulating current, Phase shift. + Abrikosov vortex represents the most compact way of storing magnetic flux in a superconducting circuit. + Quantized = Non-volatile, Zero static consumption, Reproducibility + Easy to manipulate (write/erase) by current pulses + 2 ways of readout : Field or Phase This can be utilized for creation of high density cryogenic random access memory.

I. AVRAM cell with a Josephson spin-valve readout Iovan, A., Golod, T., and Krasnov, V.M., Controllable generation of a spin-triplet supercurrent in a Josephson spin valve, Phys. Rev. B 90, 134514 (2014).

I. Offset of Josephson spin-valve by stray fields from AV

Detection of the AV phase shift by a Josephson junction Controllable switching into a 0-π state Abrikosov antivortex z V Θ V1 x V ϕ V L 2-nd electrode Golod, T., Rydh, A., and Krasnov, V. M., Detection of the Phase Shift from a Single Abrikosov Vortex, Phys. Rev. Lett. 104, 227003 (2010).

I. AVRAM cell with a planar Josephson junction readout

Writing / Erasing vortices by current pulses Switching back-and-forth from 0 to 0-π state Note infinite magnetoresistance (Rmax-Rmin/Rmin) of the device!

Half-selection stability

High endurance write/erase operation τ~µs

As a conclusion: Estimation of AVRAM performance and perspectives Scalability. SFQ RAM: Non-scalable AVRAM: J =J pin Scalable down to λ~100 nm (ultimately ξ ~10 nm) Very simple arcitecture Write energy: For I=1 ma Speed: ~1 ns (ultimately ~100 ps) Half-selection stability, reproducibility: Excellent due to quantized nature of Abrikosov vortex (no intermediate states) Infinite magnetoresistance, a general property of S-RAM