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Superconducting computing

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195:-based junctions and later switching to lead/niobium junctions. In 1980 the Josephson computer revolution was announced by IBM through the cover page of the May issue of Scientific American. One of the reasons which justified such a large-scale investment lies in that Moore's law - enunciated in 1965 - was expected to slow down and reach a plateau 'soon'. However, on the one hand Moore's law kept its validity, while the costs of improving superconducting devices were basically borne entirely by IBM alone and the latter, however big, could not compete with the whole world of semiconductors which provided nearly limitless resources. Thus, the program was shut down in 1983 because the technology was not considered competitive with standard semiconductor technology. The Japanese 792:
superconductor microprocessor. It's composed of superconducting niobium and relies on hardware components called adiabatic quantum-flux-parametrons (AQFPs). Each AQFP is composed of a few fast-acting Josephson junction switches, which require very little energy to support superconductor electronics. The MANA microprocessor consists of more than 20,000 Josephson junctions (or more than 10,000 AQFPs) in total.
226:. These advances led to the United States' Hybrid Technology Multi-Threaded project, started in 1997, which sought to beat conventional semiconductors to the petaflop computing scale. The project was abandoned in 2000, however, and the first conventional petaflop computer was constructed in 2008. After 2000, attention turned to 304:
Josephson junctions in RSFQ circuits are biased in parallel. Therefore, the total bias current grows linearly with the Josephson junction count. This currently presents the major limitation on the integration scale of RSFQ circuits, which does not exceed a few tens of thousands of Josephson junctions
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Power is provided by bias currents distributed using resistors that can consume more than 10 times as much static power than the dynamic power used for computation. The simplicity of using resistors to distribute currents can be an advantage in small circuits and RSFQ continues to be used for many
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The 2.5 GHz prototype uses 80 times less energy than its semiconductor counterpart, even accounting for cooling … While adiabatic semiconductor microprocessors exist, the new microprocessor prototype, called MANA (Monolithic Adiabatic iNtegration Architecture), is the world's first adiabatic
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computer built in CMOS logic is estimated to consume some 500 megawatts of electrical power. Superconducting logic can be an attractive option for ultrafast CPUs, where switching times are measured in picoseconds and operating frequencies approach 770 GHz. However, since transferring
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As superconducting logic supports standard digital machine architectures and algorithms, the existing knowledge base for CMOS computing will still be useful in constructing superconducting computers. However, given the reduced heat dissipation, it may enable innovations such as
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On January 13, 2021, it was announced that a 2.5 GHz prototype AQFP-based processor called MANA (Monolithic Adiabatic iNtegration Architecture) had achieved an energy efficiency that was 80 times that of traditional semiconductor processors, even accounting for the cooling.
80:, to encode, process, and transport data. SFQ circuits are made up of active Josephson junctions and passive elements such as inductors, resistors, transformers, and transmission lines. Whereas voltages and capacitors are important in semiconductor logic circuits such as 118:
information between the processor and the outside world does still dissipate energy, superconducting computing was seen as well-suited for computations-intensive tasks where the data largely stays in the cryogenic environment, rather than
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technology. Much of the power consumed, and heat dissipated, by conventional processors comes from moving information between logic elements rather than the actual logic operations. Because superconductors have zero electrical
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Efficient single flux quantum (eSFQ) logic is also powered by direct current, but differs from ERSFQ in the size of the bias current limiting inductor and how the limiting Josephson junctions are regulated.
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Efficient rapid single flux quantum (ERSFQ) logic was developed to eliminate the static power losses of RSFQ by replacing bias resistors with sets of inductors and current-limiting Josephson junctions.
294:, typically by addition of an appropriately sized shunt resistor, to make them switch without a hysteresis. Clocking signals are provided to logic gates by separately distributed SFQ voltage pulses. 313:
Reducing the resistor (R) used to distribute currents in traditional RSFQ circuits and adding an inductor (L) in series can reduce the static power dissipation and improve energy efficiency.
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were considered state-of-the-art. Important challenges for the field were reliable cryogenic memory, as well as moving from research on individual components to large-scale integration.
249:, was seen as an opening for superconducting computing research as exascale computers based on CMOS technology would be expected to require impractical amounts of electrical power. The 187:, and within a few years IBM had fabricated the first Josephson junction. IBM invested heavily in this technology from the mid-1960s to 1983. By the mid-1970s IBM had constructed a 412:. There exist three families of superconducting qubits, depending on whether the charge, the phase, or neither of the two are good quantum numbers. These are respectively termed 575:"Superconductivity at IBM – a Centennial Review: Part I – Superconducting Computer and Device Applications, IEEE/CSC & ESAS EUROPEAN SUPERCONDUCTIVITY NEWS FORUM, No. 21" 301:
RSFQ has been used to build specialized circuits for high-throughput and numerically intensive applications, such as communications receivers and digital signal processing.
231: 286:(RSFQ) superconducting logic was developed in the Soviet Union in the 1980s. Information is carried by the presence or absence of a single flux quantum (SFQ). The 179:, but the liquid-helium temperatures and the slow switching time between superconducting and resistive states caused this research to be abandoned. In 1962 502: 343: 250: 109:, little energy is required to move bits within the processor. This is expected to result in power consumption savings of a factor of 500 for an 196: 574: 188: 168:
of standard CMOS technology. As of 2016 there are no commercial superconducting computers, although research and development continues.
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Adiabatic Quantum flux parametron (AQFP) logic was developed for energy-efficient operation and is powered by alternating current.
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Reducing the bias voltage in traditional RSFQ circuits can reduce the static power dissipation and improve energy efficiency.
17: 254: 127: 549: 361:, Set/Reset (with nondestructive readout), which together form a universal logic set and provide memory capabilities. 388: 227: 70: 265:
Despite the names of many of these techniques containing the word "quantum", they are not necessarily platforms for
624:"RSFQ logic/memory family: a new Josephson-junction technology for sub-terahertz-clock-frequency digital systems" 727: 848: 838: 833: 740: 715:"Implementation of energy efficient single flux quantum (eSFQ) digital circuits with sub-aJ/bit operation" 49:
switches, and quantization of magnetic flux (fluxoid). As of 2023, superconducting computing is a form of
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signals. RQL gates do not use resistors to distribute power and thus dissipate negligible static power.
843: 701: 688: 528: 853: 283: 278: 215: 623: 449: 161: 145: 106: 84:, currents and inductors are most important in SFQ logic circuits. Power can be supplied by either 100:
The primary advantage of superconducting computing is improved power efficiency over conventional
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Reciprocal Quantum Logic (RQL) was developed to fix some of the problems of RSFQ logic. RQL uses
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applications where large amounts of information are streamed from outside the processor.
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of SFQ pulses to encode a logical '1'. Both power and clock are provided by multi-phase
287: 242: 110: 46: 704:, IEEE Transactions on Applied Superconductivity, vol.21, no.3, pp.776-779, June 2011. 691:, IEEE Transactions on Applied Superconductivity, vol.21, no.3, pp.760-769, June 2011. 652:, IEEE Transactions on Applied Superconductivity, vol.21, no.3, pp.770-775, June 2011. 626:, IEEE Transactions on Applied Superconductivity, Vol. 1, No. 1, March 1991, pp. 3-28. 475:"An Initial Look at Alternative Computing Technologies for the Intelligence Community" 444: 291: 266: 176: 66: 812: 662: 766: 714: 405: 235: 214:
Josephson junctions that were more reliable and easier to fabricate. In 1985, the
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Superconducting digital logic circuits use single flux quanta (SFQ), also known as
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Superconducting Logic Circuits Operating With Reciprocal Magnetic Flux Quanta
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funded a superconducting research effort from 1981 to 1989 that produced the
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is a measure of superconducting circuit or device complexity, similar to the
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ExaScale Computing Study: Technology Challenges in Achieving... Report 2008
529:"Energy-efficient superconducting computing—power budgets and requirements" 413: 27:
Logic circuitry that requires low temperatures to achieve superconductivity
637:"Study of LR-loading technique for low-power single flux quantum circuits" 806: 754:"An adiabatic quantum flux parametron as an ultra-low-power logic device" 429: 678:, IEEE Trans. Appl. Supercond., vol. 23, no. 3, pp. 1701104, June 2013. 434: 417: 38: 611:"Cold numbers: Superconducting supercomputers and presumptive anomaly" 573:
Gallagher, William J.; Harris, Erik P.; Ketchen, Mark B. (July 2012).
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applications where energy efficiency is not of critical importance.
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Superconducting quantum computing is a promising implementation of
172: 131: 119: 743:, University of Maryland, Department of Physics, PhD dissertation. 408:. As in a superconducting electrode, the phase and the charge are 257:'s research and development efforts in superconducting computing. 164:
since the mid-1950s. However, progress could not keep up with the
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Joneckis, Lance; Koester, David; Alspector, Joshua (2014-01-01).
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Superconducting computing research has been pursued by the U. S.
135: 480:. Institute for Defense Analyses. pp. 15–16, 24–25, 47–50. 134:, it is harder to reduce their size. As of 2014, devices using 139: 58: 648:
Ortlepp T, Wetzstein O, Engert S, Kunert J, Toepfer H (2011).
639:, IEEE Trans. Appl. Supercond., vol.17, pp.150–153, June 2007. 550:"Will the NSA Finally Build Its Superconducting Spy Computer?" 676:"Low-Energy Consumption RSFQ Circuits Driven by Low Voltages" 114: 661:
Tanaka M, Ito M, Kitayama A, Kouketsu T, Fujimaki A (2012).
531:, IEEE Trans. Appl. Supercond., vol. 23, 1701610, June 2013. 325:
Energy-Efficient Single Flux Quantum Technology (ERSFQ/eSFQ)
113:. For comparison, in 2014 it was estimated that a 1 exa 53:, as superconductive electronic circuits require cooling to 674:
Tanaka M, Kitayama A, Koketsu T, Ito M, Fujimaki A (2013).
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N. De Liso, G. Filatrella, D. Gagliardi, C. Napoli (2020).
364: 192: 101: 81: 650:"Reduced Power Consumption in Superconducting Electronics" 752:
Takeuchi N, Ozawa D, Yamanashi Y and Yoshikawa N (2013).
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Volkmann MH, Sahu A, Fourie CJ, and Mukhanov OA (2013).
702:"Zero Static Power Dissipation Biasing of RSFQ Circuits" 472: 171:
Research in the mid-1950s to early 1960s focused on the
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Herr QP, Herr AY, Oberg OT, and Ioannidis AG (2011).
260: 203:, which was a 4-bit machine with 1,000 bits of RAM. 57:
temperatures for operation, typically below 10 
730:, J. Appl. Phys. vol. 109, pp. 103903-103910, 2011. 584:. IEEE Council on superconductivity. Archived from 272: 689:"Energy-Efficient Single Flux Quantum Technology" 635:Yamanashi Y, Nishigai T, and Yoshikawa N (2007). 337: 820: 769:, Supercond. Sci. Technol. 28 015003, Jan. 2015. 765:Takeuchi N, Yamanashi Y and Yoshikawa N (2015). 700:DE Kirichenko, S Sarwana, AF Kirichenko (2011). 251:Intelligence Advanced Research Projects Activity 382: 245:beginning in the mid-2010s, as codified in the 138:as the superconducting material operating at 4 694: 809:, NSA, 2005 - Promoted RSFQ R&D projects. 316: 45:, including zero-resistance wires, ultrafast 759: 746: 717:, Supercond. Sci. Technol. 26 (2013) 015002. 707: 681: 629: 508: 253:, formed in 2006, currently coordinates the 197:Ministry of International Trade and Industry 152:used for semiconductor integrated circuits. 642: 616: 527:Holmes DS, Ripple AL, Manheimer MA (2013). 218:logic scheme, which had improved speed and 191:using these junctions, mainly working with 189:superconducting quantum interference device 668: 665:, Jpn. J. Appl. Phys. 51 053102, May 2012. 655: 603: 505:, IEEE Spectrum, vol. 48, pp. 48–54, 2011. 733: 720: 521: 130:of components. However, as they require 69:, with an important application known as 495: 397:technology that involves nanofabricated 365:Adiabatic Quantum Flux Parametron (AQFP) 247:National Strategic Computing Initiative 95: 14: 821: 728:"Ultra-low-power superconductor logic" 807:Superconducting Technology Assessment 756:, Supercond. Sci. Technol. 26 035010. 547: 516:"Superconductor Logic Goes Low-Power" 92:, depending on the SFQ logic family. 772: 543: 541: 539: 537: 468: 466: 464: 24: 222:, was developed by researchers at 183:established the theory behind the 41:that use the unique properties of 25: 865: 800: 534: 484:from the original on June 4, 2016 461: 389:Superconducting quantum computing 261:Conventional computing techniques 228:superconducting quantum computing 71:superconducting quantum computing 622:Likharev KK, Semenov VK (1991). 273:Rapid single flux quantum (RSFQ) 815:, "6.2.4 Superconducting Logic" 566: 548:Brock, David C. (2016-04-24). 338:Reciprocal Quantum Logic (RQL) 13: 1: 518:, IEEE spectrum, 22 June 2011 455: 383:Quantum computing techniques 255:U. S. Intelligence Community 230:. The 2011 introduction of 7: 423: 10: 870: 386: 368: 317:Low Voltage RSFQ (LV-RSFQ) 308: 276: 155: 128:three-dimensional stacking 353:Major RQL gates include: 284:Rapid single flux quantum 279:Rapid single flux quantum 216:Rapid single flux quantum 63:superconducting computing 450:Unconventional computing 232:reciprocal quantum logic 162:National Security Agency 146:Josephson junction count 440:Quantum flux parametron 371:Quantum flux parametron 224:Moscow State University 166:increasing performance 420:, and hybrid qubits. 33:refers to a class of 31:Superconducting logic 18:Superconducting logic 687:Mukhanov OA (2011). 514:Courtland R (2011). 96:Fundamental concepts 78:magnetic flux quanta 849:Digital electronics 839:Quantum electronics 834:Integrated circuits 591:on 24 December 2022 503:"The tops in flops" 410:conjugate variables 406:Josephson junctions 395:quantum information 348:alternating current 288:Josephson junctions 234:by Quentin Herr of 90:alternating current 51:cryogenic computing 243:exascale computing 47:Josephson junction 844:Superconductivity 739:Oberg OT (2011). 445:Superconductivity 292:critically damped 267:quantum computing 220:energy efficiency 177:Dudley Allen Buck 111:exascale computer 67:quantum computing 16:(Redirected from 861: 854:Josephson effect 795: 794: 788: 787: 776: 770: 763: 757: 750: 744: 737: 731: 724: 718: 711: 705: 698: 692: 685: 679: 672: 666: 659: 653: 646: 640: 633: 627: 620: 614: 607: 601: 600: 598: 596: 590: 579: 570: 564: 563: 561: 560: 545: 532: 525: 519: 512: 506: 501:Kogge P (2011). 499: 493: 492: 490: 489: 479: 470: 404:coupled through 344:reciprocal pairs 236:Northrop Grumman 210:created niobium/ 185:Josephson effect 150:transistor count 21: 869: 868: 864: 863: 862: 860: 859: 858: 819: 818: 803: 798: 785: 783: 778: 777: 773: 764: 760: 751: 747: 738: 734: 725: 721: 712: 708: 699: 695: 686: 682: 673: 669: 660: 656: 647: 643: 634: 630: 621: 617: 608: 604: 594: 592: 588: 582:snf.ieeecsc.org 577: 571: 567: 558: 556: 546: 535: 526: 522: 513: 509: 500: 496: 487: 485: 477: 471: 462: 458: 426: 399:superconducting 391: 385: 373: 367: 340: 327: 319: 311: 281: 275: 263: 181:Brian Josephson 158: 98: 43:superconductors 28: 23: 22: 15: 12: 11: 5: 867: 857: 856: 851: 846: 841: 836: 831: 829:Logic families 817: 816: 810: 802: 801:External links 799: 797: 796: 771: 758: 745: 732: 719: 706: 693: 680: 667: 654: 641: 628: 615: 602: 565: 533: 520: 507: 494: 459: 457: 454: 453: 452: 447: 442: 437: 432: 425: 422: 387:Main article: 384: 381: 369:Main article: 366: 363: 339: 336: 326: 323: 318: 315: 310: 307: 277:Main article: 274: 271: 262: 259: 212:aluminum oxide 157: 154: 97: 94: 86:direct current 65:is applied to 35:logic circuits 26: 9: 6: 4: 3: 2: 866: 855: 852: 850: 847: 845: 842: 840: 837: 835: 832: 830: 827: 826: 824: 814: 811: 808: 805: 804: 793: 781: 775: 768: 762: 755: 749: 742: 736: 729: 723: 716: 710: 703: 697: 690: 684: 677: 671: 664: 658: 651: 645: 638: 632: 625: 619: 612: 606: 587: 583: 576: 569: 555: 554:IEEE Spectrum 551: 544: 542: 540: 538: 530: 524: 517: 511: 504: 498: 483: 476: 469: 467: 465: 460: 451: 448: 446: 443: 441: 438: 436: 433: 431: 428: 427: 421: 419: 415: 414:charge qubits 411: 407: 403: 400: 396: 390: 380: 376: 372: 362: 360: 356: 351: 349: 345: 335: 331: 322: 314: 306: 305:per circuit. 302: 299: 295: 293: 289: 285: 280: 270: 268: 258: 256: 252: 248: 244: 241:The push for 239: 237: 233: 229: 225: 221: 217: 213: 209: 204: 202: 198: 194: 190: 186: 182: 178: 174: 169: 167: 163: 153: 151: 147: 143: 141: 137: 133: 129: 123: 121: 116: 112: 108: 103: 93: 91: 87: 83: 79: 74: 72: 68: 64: 60: 56: 52: 48: 44: 40: 36: 32: 19: 790: 784:. Retrieved 782:. 2021-01-13 774: 761: 748: 735: 722: 709: 696: 683: 670: 657: 644: 631: 618: 605: 593:. Retrieved 586:the original 581: 568: 557:. Retrieved 553: 523: 510: 497: 486:. Retrieved 392: 377: 374: 352: 341: 332: 328: 320: 312: 303: 300: 296: 282: 264: 240: 205: 175:invented by 170: 159: 144: 124: 99: 75: 62: 30: 29: 430:Beyond CMOS 418:flux qubits 39:logic gates 823:Categories 786:2021-05-25 559:2016-04-21 488:2016-04-22 456:References 435:Logic gate 402:electrodes 107:resistance 208:Bell Labs 206:In 1983, 132:inductors 55:cryogenic 482:Archived 424:See also 173:cryotron 120:big data 61:. Often 595:10 June 309:LR-RSFQ 201:ETL-JC1 156:History 136:niobium 59:kelvin 589:(PDF) 578:(PDF) 478:(PDF) 359:AnotB 355:AndOr 115:FLOPS 597:2023 290:are 193:lead 102:CMOS 82:CMOS 88:or 37:or 825:: 789:. 580:. 552:. 536:^ 463:^ 416:, 357:, 269:. 73:. 599:. 562:. 491:. 140:K 20:)

Index

Superconducting logic
logic circuits
logic gates
superconductors
Josephson junction
cryogenic computing
cryogenic
kelvin
quantum computing
superconducting quantum computing
magnetic flux quanta
CMOS
direct current
alternating current
CMOS
resistance
exascale computer
FLOPS
big data
three-dimensional stacking
inductors
niobium
K
Josephson junction count
transistor count
National Security Agency
increasing performance
cryotron
Dudley Allen Buck
Brian Josephson

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