Abstract
Quantum computers1 could revolutionize computing in a profound way due to the massive speedup they promise. A quantum computer comprises a cryogenic quantum processor and a classical electronic controller. When scaling up the cryogenic quantum processor to at least a few thousands, and possibly millions, of qubits required for any practical quantum algorithm, cryogenic CMOS (cryo-CMOS) electronics is required to allow feasible and compact interconnections between the controller and the quantum processor. Cryo-CMOS leverages the CMOS fabrication infrastructure while exploiting the continuous improvement of performance and miniaturization guaranteed by Moore's law, in order to enable the fabrication of a cost-effective practical quantum computer. However, designing cryo-CMOS integrated circuits requires a new set of CMOS device models, their embedding in design and verification tools, and the possibility to co-simulate the cryo-CMOS/quantum-processor architecture for full-system optimization. In this paper, we address these challenges by focusing on their impact on the design of complex cryo-CMOS systems.
Original language | English |
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Title of host publication | Proceedings of the 54th Annual Design Automation Conference 2017, DAC 2017 |
Place of Publication | New York, NY |
Publisher | Association for Computing Machinery (ACM) |
Volume | Part 128280 |
ISBN (Electronic) | 978-1-4503-4927-7 |
DOIs | |
Publication status | Published - 2017 |
Event | 54th Annual Design Automation Conference, DAC 2017 - Austin, United States Duration: 18 Jun 2017 → 22 Jun 2017 |
Conference
Conference | 54th Annual Design Automation Conference, DAC 2017 |
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Country/Territory | United States |
City | Austin |
Period | 18/06/17 → 22/06/17 |
Keywords
- Cryo-CMOS
- cryogenics
- device models
- error-correcting loop
- quantum computation
- qubit