Year: 2022

Erik DeBenedictis and Elie Track presented at the IEEE International Conference on Rebooting Computing (ICRC 2022) 8-9 December 2022 in San Francisco, CA, USA and Virtual.

The paper has been published as:
DeBenedictis, Erik P., and Elie K. Track. “Rebooting Quantum Computing.” 2022 IEEE International Conference on Rebooting Computing (ICRC). IEEE, 2022. DOI: 10.1109/ICRC57508.2022.00010.

Accepted Manuscript:

PowerPoint

This is the PowerPoint deck as presented in pdf. This is followed by the source .pptx file (the file was created in .ppt and saved as .pptx).

And this is the slide deck in notes mode, minus one slide.

References from the paper

For convenience, the references from the paper appear below with hyperlinks where available. There is a second open link in some cases.

1. Neven, Harmut, “Quantum AI Update,” Google Symposium 2022, offset 15:00. https://eventsonair.withgoogle.com/events/qss-2022 (note: this link requires registration).
2. Expanding the IBM Quantum roadmap to anticipate the future of quantum-centric supercomputing, https://research.ibm.com/blog/ibm-quantum-roadmap-2025.
3. Pellerano, Stefano, et al. “Cryogenic CMOS for Qubit Control and Readout.” 2022 IEEE Custom Integrated Circuits Conference (CICC). IEEE, 2022. DOI: https://doi.org/10.1109/CICC53496.2022.9772841 https://pure.tudelft.nl/ws/portalfiles/portal/122719163/Cryogenic_CMOS_for_Qubit_Control_and_ReadoutTaverne.pdf.
4. Frank, David J., et al. “A Cryo-CMOS Low-Power Semi-Autonomous Qubit State Controller in 14nm FinFET Technology.” 2022 IEEE International Solid-State Circuits Conference (ISSCC). Vol. 65. IEEE, 2022. DOI: https://doi.org/10.1109/ISSCC42614.2022.9731538.
5. Fellous-Asiani, Marco. The resource cost of large scale quantum computing. Diss. Université Grenoble Alpes 2022. https://arxiv.org/abs/2112.04022v2.
6. Fellous-Asiani, Marco, et al. “Optimizing resource efficiencies for scalable full-stack quantum computers.” arXiv preprint arXiv:2209.05469 (2022). https://arxiv.org/abs/2209.05469v1.
7. Frontier to Meet 20MW Exascale Power Target Set by DARPA in 2008 https://www.hpcwire.com/2021/07/14/frontier-to-meet-20mw-exascale-power-target-set-by-darpa-in-2008/.
8. Feynman, Richard P. “Simulating physics with computers.” International Journal of theoretical physics 21.6/7 (1982).
9. Fredkin, Edward, and Tommaso Toffoli. “Conservative logic.” International Journal of theoretical physics 21.3-4 (1982): 219-253.
10. Younis, Saed G. Asymptotically Zero Energy Computing Using Split-Level Charge Recovery Logic. Diss. Massachusetts Institute of Technology, 1994. https://dspace.mit.edu/handle/1721.1/7058.
11. Lim, Joonho, Dong-Gyu Kim, and Soo-Ik Chae. “nMOS reversible energy recovery logic for ultra-low-energy applications.” IEEE Journal of Solid-State Circuits 35.6 (2000): 865-875. DOI: https://doi.org/10.1109/4.845190 https://s-space.snu.ac.kr/bitstream/10371/16274/1/nMOS%20reversible%20energy%20recovery%20logic%20for%20ultra-low-energy%20applications.pdf.
12. Pauka, S. J., et al. “A cryogenic CMOS chip for generating control signals for multiple qubits.” Nature Electronics 4.1 (2021): 64-70. DOI: https://doi.org/10.1038/s41928-020-00528-y.
13. DeBenedictis, Erik P. “Adiabatic circuits for quantum computer control.” 2020 International Conference on Rebooting Computing (ICRC). IEEE, 2020. https://doi.org/10.1109/ICRC2020.2020.00004 https://debenedictis.org/erik/CATC/Log_Shift_Reg_v1.02.pdf.
14. DeBenedictis, Erik P. “Classical Reversible Logic Circuits for Quantum Computer Control,” Zettaflops, LLC Technical Report ZF010. https://debenedictis.org/erik/CATC/MgtECompZF010v3.pdf.
15. Hornibrook, J. M., et al. “Cryogenic control architecture for large-scale quantum computing.” Physical Review Applied 3.2 (2015): 024010 DOI: https://doi.org/10.1103/PhysRevApplied.3.024010 https://arxiv.org/abs/1409.2202.
16. DeBenedictis, Erik P. Managing Energy in Computation with Reversible Circuits. Patent Application No. WO2022197556. September, 2022. https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2022197556.
17. Sirois, Adam J., et al. “Josephson microwave sources applied to quantum information systems.” IEEE Transactions on Quantum Engineering 1 (2020): 1-7. DOI: https://doi.org/10.1109/TQE.2020.3045682.
18. Jokar, Mohammad Reza, et al. “DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ Logic.” 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA). IEEE, 2022. DOI: https://doi.org/10.1109/HPCA53966.2022.00037 https://arxiv.org/abs/2202.01407.

Erik DeBenedictis attended the Quantum Resource Estimation conference on June 18, 2022. This page has is the slide decks that were presented and two additional documents.

Talk on low energy control

Talk on IEEE standards

Additional information

Erik DeBenedictis attended the conference June 6-9 2022 virtually. The presentation is below.

Additional information

The zip files below comprise the AA (Adiabatic Analysis) ngspice software. The software is licensed under Apache 2.0. There is no repository for changes at this time.

Version of 3:05 PM 3/13/2022

This release comprises eight .cir files. Installation instructions are in comments towards the end of aa.cir.

Supports multiple devices:

• (MD=2) Compatibility check with e.cir, which uses the built-in BSIM3 model with default parameters.
• (MD=3) Built-in BSIM3 model with default parameters.
• (MD=4) BSIM4 test modelcards from the ngspice distribution. You must manually move the modelcard files; see comments in aa.cir.
• (MD=5) Sky130. You must install the Sky130 PDK and “uncomment” some lines.
• (MD=6) [undisclosed SOI]. Not for general use at this time.

Supports the following circuits:

• Q2LAL shift registers
• S2LAL shift registers
• Two versions of a quantum computer controller based on Q2LAL
• A CMOS work alike for one of the quantum computer controllers

Learning about the code and regression testing:

• Running aa.cir with no modifications will produce the same output as running e.cir. This is a regression test.
• The top of aa.cir contains a series of control lines of similar format. For purposes of identification, they start with *.param or .param. All but one of these lines should be commented out, meaning the one that is not commented out will control the run.
• Each run will produce some plots and append a summary line to Adia.csv and CMOS.csv. (The current version of this software also appends a second line with the simulation run time.) You can open .csv files with Excel.
• Summary lines have been incorporated into aa.cir immediately following the .param line that controlled run, forming another type of regression test. The summary lines include the energy dissipated during initialization and the remainder of the simulation run. If your run’s dissipation is the same (to five decimal places) as the one incorporated in aa.cir, the software is probably running correctly.
• The summary lines in aa.cir have been manually edited so the last field contains the time and date of the run, the run time in seconds, and the name of the computer in the developer’s office that executed the run.
• The scripts in this software are intended to be changed by the user. Some friendly advice is to run regression tests frequently and keep a lot of backup files because ngspice scripts are hard to debug.

The following zip file contains password-protected files for the convenience of the developer. You should not need these files because they are available on the Internet.