journal article·2022Open access

Robust Electric-Field Input Circuits for Clocked Molecular Quantum-Dot Cellular Automata

Peizhong Cong, Enrique P. Blair

Abstract

Quantum-dot cellular automata (QCA) is a paradigm for low-power, general-purpose, classical computing designed to overcome the challenges facing CMOS in the extreme limits of scaling. A molecular implementation of QCA offers nanometer-scale devices with device densities and operating speeds which may surpass CMOS device densities and speeds by several orders of magnitude, all at room temperature. Here, a proposal for electric field bit write-in to molecular QCA circuits is extended to QCA circuits clocked using the $z$ component of an applied electric field. Input electrodes, which may be much larger than the cells themselves, apply an input $y$ field component. The input field selects an input bit on a field-sensitive portion of the circuit, and a shift register transmits the input bit to downstream logic. The circuit is sensitive to the input field, since even a very weak input field selects a bit and drives the shift register as desired. The circuit also is robust: the coupling between the field-sensitive segment and the shift register fails at input field strengths much stronger than those needed to write a bit. A simple rotation of the the shift register cells eliminates this circuit failure, even under arbitrarily strong input fields. The modified circuit also tolerates a significant unwanted $x$ field component, which is used neither for clocking nor for input. The write-in of classical bits to molecular QCA circuits is one road-block that must be cleared in order to realize energy-efficient molecular computation using QCA. Write-in may be achieved simply by using relatively large electrodes and clocked molecular circuits that respond to a weak input field and tolerate very strong applied fields without failing.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Quantum-Dot Cellular Automata · Advanced Memory and Neural Computing · Quantum and electron transport phenomena

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical and Computer Engineering, Baylor University, Waco, TX, USA

Funding

Office of Naval Research

References (71)

Show source-provided references
1. 10.1088/0957-4484/4/1/00410.1088/0957-4484/4/1/004 ↗
2. 10.1016/S0038-1101(98)00030-610.1016/S0038-1101(98)00030-6 ↗
3. 10.1126/science.288.5471.159710.1126/science.288.5471.1597 ↗
4. 10.1021/ja026856g10.1021/ja026856g ↗
5. 10.1063/1.495511310.1063/1.4955113 ↗
6. 10.1007/s10825-009-0268-010.1007/s10825-009-0268-0 ↗
7. 10.1016/j.sse.2012.05.02210.1016/j.sse.2012.05.022 ↗
8. 10.1109/TNANO.2019.291082310.1109/TNANO.2019.2910823 ↗
9. 10.1109/icrc.2018.863859110.1109/icrc.2018.8638591 ↗
10. 10.1063/1.35637510.1063/1.356375 ↗
11. 10.1145/337292.33739810.1145/337292.337398 ↗
12. 10.1016/j.spmi.2004.03.00910.1016/j.spmi.2004.03.009 ↗
13. 10.1016/j.spmi.2004.03.01010.1016/j.spmi.2004.03.010 ↗
14. 10.1103/PhysRevLett.102.04680510.1103/PhysRevLett.102.046805 ↗
15. 10.1006/spmi.1998.064710.1006/spmi.1998.0647 ↗
16. 10.1063/1.36906310.1063/1.369063 ↗
17. 10.1063/1.12710310.1063/1.127103 ↗
18. 10.1063/1.135500810.1063/1.1355008 ↗
19. 10.1063/1.12404310.1063/1.124043 ↗
20. 10.1126/science.284.5412.28910.1126/science.284.5412.289 ↗
21. 10.1109/NANO.2001.96646110.1109/NANO.2001.966461 ↗
22. 10.1111/j.1749-6632.2002.tb03037.x10.1111/j.1749-6632.2002.tb03037.x ↗
23. 10.1039/c3cp50225b10.1039/c3cp50225b ↗
24. 10.1002/ange.20150768810.1002/ange.201507688 ↗
25. Power gain in a quantum-dot cellular automata latch10.1063/1.1499511 ↗
26. 10.1088/0957-4484/17/16/04010.1088/0957-4484/17/16/040 ↗
27. 10.3390/jlpea803003010.3390/jlpea8030030 ↗
28. 10.1063/1.142121710.1063/1.1421217 ↗
29. 10.1116/1.139472910.1116/1.1394729 ↗
30. 10.1109/NANO.2003.123180310.1109/NANO.2003.1231803 ↗
31. 10.3390/jlpea803003110.3390/jlpea8030031 ↗
32. 10.1063/1.136838910.1063/1.1368389 ↗
33. 10.1109/TNANO.2015.242605810.1109/TNANO.2015.2426058 ↗
34. 10.1007/978-3-662-03669-310.1007/978-3-662-03669-3 ↗
35. 10.1109/PHYCMP.1994.36370510.1109/PHYCMP.1994.363705 ↗
36. 10.1063/5.000728910.1063/5.0007289 ↗
37. 10.1007/s10836-006-0627-810.1007/s10836-006-0627-8 ↗
38. 10.1063/1.36345510.1063/1.363455 ↗
39. 10.1166/jctn.2011.177710.1166/jctn.2011.1777 ↗
40. 10.1109/TED.2003.81585710.1109/TED.2003.815857 ↗
41. 10.1109/ICRC.2016.773869910.1109/ICRC.2016.7738699 ↗
42. 10.1021/ja105958p10.1021/ja105958p ↗
43. 10.1021/jp311203u10.1021/jp311203u ↗
44. 10.1021/ja037190910.1021/ja0371909 ↗
45. 10.1038/s41467-020-15054-w10.1038/s41467-020-15054-w ↗
46. 10.1039/c1cp21332f10.1039/c1cp21332f ↗
47. 10.1016/j.cplett.2013.07.01910.1016/j.cplett.2013.07.019 ↗
48. 10.1109/TNANO.2013.224346610.1109/TNANO.2013.2243466 ↗
49. 10.1109/TNANO.2005.84703410.1109/TNANO.2005.847034 ↗
50. 10.1002/adma.20210049110.1002/adma.202100491 ↗
51. 10.1109/TNANO.2013.226182410.1109/TNANO.2013.2261824 ↗
52. 10.1049/mnl.2018.520110.1049/mnl.2018.5201 ↗
53. 10.1109/NANO.2003.123180710.1109/NANO.2003.1231807 ↗
54. 10.1021/la061594810.1021/la0615948 ↗
55. 10.1038/nature0458610.1038/nature04586 ↗
56. 10.1038/nature1107510.1038/nature11075 ↗
57. 10.1038/368561a010.1038/368561a0 ↗
58. 10.1039/C5NJ03251B10.1039/C5NJ03251B ↗
59. 10.1143/JJAP.38.722710.1143/JJAP.38.7227 ↗
60. 10.1166/jnn.2002.10910.1166/jnn.2002.109 ↗
61. 10.1109/TED.2003.81652210.1109/TED.2003.816522 ↗
62. 10.1016/S0304-3991(03)00085-810.1016/S0304-3991(03)00085-8 ↗
63. 10.1109/ASPDAC.2005.146655510.1109/ASPDAC.2005.1466555 ↗
64. 10.1109/TNANO.2020.304872910.1109/TNANO.2020.3048729 ↗
65. 10.1007/BF0130762710.1007/BF01307627 ↗
66. 10.1063/1.238813410.1063/1.2388134 ↗
67. 10.1109/NMDC.2009.516754310.1109/NMDC.2009.5167543 ↗
68. 10.1116/1.349874810.1116/1.3498748 ↗
69. 10.1088/1361-6528/ac40c010.1088/1361-6528/ac40c0 ↗
70. 10.1109/5.57374010.1109/5.573740 ↗
71. 10.1063/1.513530810.1063/1.5135308 ↗