Scaling up Superconducting Quantum Computers with Cryogenic RF-photonics
- URL: http://arxiv.org/abs/2210.15756v1
- Date: Thu, 27 Oct 2022 20:29:10 GMT
- Title: Scaling up Superconducting Quantum Computers with Cryogenic RF-photonics
- Authors: Sanskriti Joshi, Sajjad Moazeni
- Abstract summary: This paper focuses on scaling up the number of XY-control lines by using cryogenic RF-photonic links.
We will first review and study the challenges of state-of-the-art proposed approaches.
By analytically modeling the noise sources and thermal budget limits, we will show that our solution can achieve a scale up to a thousand of qubits.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Today's hundred-qubit quantum computers require a dramatic scale up to
millions of qubits to become practical for solving real-world problems.
Although a variety of qubit technologies have been demonstrated, scalability
remains a major hurdle. Superconducting (SC) qubits are one of the most mature
and promising technologies to overcome this challenge. However, these qubits
reside in a millikelvin cryogenic dilution fridge, isolating them from thermal
and electrical noise. They are controlled by a rack-full of external
electronics through extremely complex wiring and cables. Although thousands of
qubits can be fabricated on a single chip and cooled down to millikelvin
temperatures, scaling up the control and readout electronics remains an elusive
goal. This is mainly due to the limited available cooling power in cryogenic
systems constraining the wiring capacity and cabling heat load management.
In this paper, we focus on scaling up the number of XY-control lines by using
cryogenic RF-photonic links. This is one of the major roadblocks to build a
thousand qubit superconducting QC. We will first review and study the
challenges of state-of-the-art proposed approaches, including cryogenic CMOS
and deep-cryogenic photonic methods, to scale up the control interface for SC
qubit systems. We will discuss their limitations due to the active power
dissipation and passive heat leakage in detail. By analytically modeling the
noise sources and thermal budget limits, we will show that our solution can
achieve a scale up to a thousand of qubits. Our proposed method can be
seamlessly implemented using advanced silicon photonic processes, and the
number of required optical fibers can be further reduced by using wavelength
division multiplexing (WDM).
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