This article will review recent progress in cryogenic CMOS designs for future scaled quantum computing applications. After introducing the scaling challenges associated with qubit control and readout electronics operating at room temperature, approaches taken to date to cryogenic control electronics design will be discussed, focusing on the most recent relevant publications. Elements of ultra-low power circuit and system design approaches for cryogenic controllers in scaled CMOS nodes (40nm to 14nm) will be reviewed, including a discussion of current state-of-the art cryogenic controller performance and power efficiency. Note that leading designs, when operated as transmon qubit state controllers, have achieved gate error rates in the range of 10-4 to 10-3 achieving spurious free dynamic range (SFDR) of ~40dB while consuming 4-23mW of power per qubit under active control, with power efficiency strongly driven by the complexity of the digital processor integrated in the controller design. These demonstrations, while significant, are just the first steps toward achieving the performance, efficiency, and scalability that will be required for future systems. This review article will discuss fundamental tradeoffs in CMOS cryogenic designs in order to address the needs of future scaled quantum computing systems.
This article will review recent progress in cryogenic CMOS designs for future scaled quantum computing applications. After introducing the scaling challenges associated with qubit control and readout electronics operating at room temperature, approaches taken to date to cryogenic control electronics design will be discussed, focusing on the most recent relevant publications. Elements of ultra-low power circuit and system design approaches for cryogenic controllers in scaled CMOS nodes (40nm to 14nm) will be reviewed, including a discussion of current state-of-the art cryogenic controller performance and power efficiency. Note that leading designs, when operated as transmon qubit state controllers, have achieved gate error rates in the range of 10-4 to 10-3 achieving spurious free dynamic range (SFDR) of ~40dB while consuming 4-23mW of power per qubit under active control, with power efficiency strongly driven by the complexity of the digital processor integrated in the controller design. These demonstrations, while significant, are just the first steps toward achieving the performance, efficiency, and scalability that will be required for future systems. This review article will discuss fundamental tradeoffs in CMOS cryogenic designs in order to address the needs of future scaled quantum computing systems.
A fault tolerant scalable quantum computer requires more than 1000 Qubits to perform real time state correction and to improve the Qubit coherence time. The dense wiring connections required between the quantum processor placed at a 100 mK temperature and the room temperature control and readout electronics serve as a limiting factor in this system. Qubit control and readout electronics operating at 4 K temperature, placed closer to a quantum processor inside the dilution refrigerator avoids the dense wiring connections to room temperature electronics, and hence, serve as a potential solution to realize a scalable quantum computer. However, with no CMOS process technology models available at cryogenic temperatures, the design of a fully integrated, ultra-low power Qubit control and readout electronics at a sub-1 mW power consumption proves to be extremely challenging. In recent years, there has been a huge rise in interest among the research communities to understand and solve the device and circuit level challenges at deep cryogenic temperatures. This paper presents an overview of the recently published active and passive device nonidealities, circuit design challenges and solutions, and the future research directions in the Qubit control and readout electronics operating at deep cryogenic temperatures.
In the pursuit of quantum computing, solid-state quantum systems, particularly superconducting ones, have made remarkable advancements over the past two decades. However, achieving fault-tolerant quantum computing for next-generation applications necessitates the integration of several million qubits, which presents significant challenges in terms of interconnection complexity and latency that are currently unsolvable with state-of-the-art room-temperature control and readout electronics. Recently, cryogenic integrated circuits (ICs), including CMOS radio-frequency ICs and rapid-single-flux-quantum-logic ICs, have emerged as potential alternatives to room-temperature electronics. Unlike their room-temperature counterparts, these ICs are deployed within cryostats to enhance scalability by reducing the number and length of transmission lines. Additionally, operating at cryogenic temperatures can suppress electronic noise and improve qubit control fidelity. However, for CMOS ICs specifically, circuit design uncertainties arise due to a lack of reliable models for cryogenic field effect transistors as well as issues related to severe fickle noises and power dissipation at cryogenic temperatures. This paper provides a comprehensive review of recent research on both types of cryogenic control and readout ICs but primarily focuses on the more mature CMOS technology. The discussion encompasses principles underlying control and readout techniques employed in cryogenic CMOS ICs along with their architectural designs; characterization and modeling approaches for field effect transistors under cryogenic conditions; as well as fundamental concepts pertaining to rapid single flux quantum circuits.
Today’s quantum computing systems rely on commercial electronics operating at room temperature in order to perform control and readout operations for qubits [1] –[6]. The qubits operate at cryogenic temperatures; the signals that support control and readout of qubits therefore traverse multiple temperature stages in a dilution refrigerator to enable interaction with the qubits of a quantum computer. For many of the most advanced quantum computers built to date, the control of each individual qubit demands application of a radiofrequency pulse that is precisely calibrated in frequency, amplitude, and phase. Oubit readout demands the amplification of very low amplitude signals that are then post-processed to categorize the state of the qubit being measured. Oubit control electronics are implemented using arbitrary waveform generators (AWGs) of various types. The scalability of such systems is challenged by the need to scale the number of qubit control electronics units linearly with the number of qubits in the system. One approach to mitigating this challenge that is under active exploration is the use of multi-channel AWGs (tailored to the requirements of qubit control) that operate at the 4K stage of a quantum computing system [7] –[10]. Oubit readout electronics are typically implemented using multiple stages of amplification and then DSP-based readout performed at room temperature. In today’s systems, while readout electronics benefits from multiplexing of the readout signals (enabling a single cascade of moderately wideband amplifiers to support the delivery of multiple readout signals to the room-temperature electronics), again, the scalability of this approach is challenged much as is the case with control electronics. One approach to mitigating the readout challenge is the expanded use of cryogenic electronics in the readout chain. Success in the implementation of cryogenic control and readout solutions depends critically on multiple CMOS sub-components; in this paper we focus on SRAM and low noise amplifiers (LNAs). Note that SRAM is critical for both control and readout applications as a mixed-signal solution involving the combination of a custom processor and analog elements is highly desirable in both cases. Further, while the LNA is directly used as an element in the readout chain, a deep assessment of LNA performance and opportunities strongly benefits overall understanding of achievable noise performance in CMOS technologies at cryogenic temperatures and is therefore impoitant in both control and readout contexts.
This Master thesis first reviews the current state of different kinds of qubit, providing a comprehensive analysis of the development progress and future directions of qubit control and readout schemes, which are key components of quantum computers. Special emphasis is placed on analyzing and designing the cryo-CMOS qubit state controller (QSC) chips for transmon qubits, followed by an analysis of the performance of the current state-of-the-art chips, summarizing the development directions and challenges faced. Subsequently, the progress and achievements of previous work, based on 28-nm CMOS, are presented. This work utilizes submodules that are more power-efficient and better suited to cryogenic temperature (CT). Based on our modeling work, we simulate the chip at both room temperature (RT) and 4 K. The results, showing an SFDR of 45 dB, an SNR of 58 dB, and a power consumption of 6 mW per channel under active control at 4 K, with minimal performance degradation compared to RT, suggest that this work is a strong candidate compared to the previous state of the art.
In this paper, we provide a system level perspective on the design of control electronics for large scale quantum systems. Quantum computing systems with high-fidelity control and readout, coherent coupling, calibrated gates, and reconfigurable circuits with low error rates are expected to have superior quantum volumes. Cryogenic CMOS plays a crucial role in the realization of scalable quantum computers, by minimizing the feature size, lowering the cost, power consumption, and implementing low latency error correction. Our approach toward achieving scalable feed-back based control systems includes the design of memory based arbitrary waveform generators (AWG’s), wide band radio frequency analog to digital converters, integrated amplifier chain, and state discriminators that can be synchronized with gate sequences. Digitally assisted designs, when implemented in an advanced CMOS node such as 7 nm can reap the benefits of low power due to scaling. A qubit readout chain demands several amplification stages before the digitizer. We propose the co-integration of our in-house developed InP HEMT LNAs with CMOS LNA stages to achieve the required gain at the digitizer input with minimal area. Our approach using high impedance matching between the HEMT LNA and the cryogenic CMOS receiver can relax the design constraints of an inverter-based CMOS LNA, paving the way toward a fully integrated qubit readout chain. The qubit state discriminator consists of a digital signal processor that computes the qubit state from the digitizer output and a pre-determined threshold. The proposed system realizes feedback-based optimal control for error mitigation and reduction of the required data rate through the serial interface to room temperature electronics.
Quantum computers hold the promise to solve some of the most complex problems of today. The core of a quantum computer is a quantum processor, which is composed of quantum bits (qubits). Qubits are fragile and their state needs to be corrected in real time by a classical controller. Today, the control of qubits is done at room temperature by racks of instruments, while qubits operate at several tens of milli-Kelvin. To ensure compactness, and eventually scalability, we have proposed the use of controllers operating at a few Kelvin, so as to reduce the length of control cables, while potentially enabling superconductive interconnects, which enable virtually zero resistance and low thermal conductivity. We have chosen CMOS to achieve this functionality due to its scalable nature and overall miniaturization opportunities. Cryogenic CMOS, or cryo-CMOS, circuits and systems need to be carefully designed, so as to ensure low noise and high bandwidth, while operating at strict power budgets of a few milliwatts per qubit. In this paper, we outline the requirements of a classical controller and we show examples of such circuits and systems. Results and perspectives are presented discussing a roadmap for the future.