DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ
Logic
- URL: http://arxiv.org/abs/2202.01407v1
- Date: Thu, 3 Feb 2022 04:52:14 GMT
- Title: DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ
Logic
- Authors: Mohammad Reza Jokar, Richard Rines, Ghasem Pasandi, Haolin Cong, Adam
Holmes, Yunong Shi, Massoud Pedram, Frederic T. Chong
- Abstract summary: Superconducting Single Flux Quantum (SFQ) is a classical logic family proposed for large-scale in-fridge controllers.
SFQ logic has the potential to maximize scalability thanks to its ultra-high speed and very low power consumption.
We present DigiQ, the first system-level design of a Noisy Intermediate Scale Quantum (NISQ)-friendly SFQ-based classical controller.
- Score: 6.234704484346984
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The control of cryogenic qubits in today's superconducting quantum computer
prototypes presents significant scalability challenges due to the massive costs
of generating/routing the analog control signals that need to be sent from a
classical controller at room temperature to the quantum chip inside the
dilution refrigerator. Thus, researchers in industry and academia have focused
on designing in-fridge classical controllers in order to mitigate these
challenges. Superconducting Single Flux Quantum (SFQ) is a classical logic
family proposed for large-scale in-fridge controllers. SFQ logic has the
potential to maximize scalability thanks to its ultra-high speed and very low
power consumption. However, architecture design for SFQ logic poses challenges
due to its unconventional pulse-driven nature and lack of dense memory and
logic. Thus, research at the architecture level is essential to guide
architects to design SFQ-based classical controllers for large-scale quantum
machines.
In this paper, we present DigiQ, the first system-level design of a Noisy
Intermediate Scale Quantum (NISQ)-friendly SFQ-based classical controller. We
perform a design space exploration of SFQ-based controllers and co-design the
quantum gate decompositions and SFQ-based implementation of those
decompositions to find an optimal SFQ-friendly design point that trades area
and power for latency and control while ensuring good quantum algorithmic
performance. Our co-design results in a single instruction, multiple data
(SIMD) controller architecture, which has high scalability (>42,000-qubit
scales), but imposes new challenges on the calibration of control pulses. We
present software-level solutions to address these challenges, which if
unaddressed would degrade quantum circuit fidelity given the imperfections of
qubit hardware.
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