Cryo-CMOS Circuits and Systems for Quantum Computing Applications

Patra, Bishnu; Incandela, Rosario; Dijk, Jeroen P. G. van; Homulle, Harald; Lin, Shan; Shahmohammadi, Mina; Staszewski, Robert Bogdan; Vladimirescu, Andrei; Babaie, Masoud; Foti, Sebastiano; Charbon, Edoardo

doi:10.1109/jssc.2017.2737549

Cited by 355 publications

(205 citation statements)

References 54 publications

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“…In order to further reduce the wiring complexity and latency, placing the electronic controller close to the qubits, and hence operating it at cryogenic temperatures inside the dilution refrigerator, has been proposed [28,[92][93][94][95][96][97]. Ideally, the electronics should operate directly at base temperature next to the quantum processor.…”

Section: Cryogenic Controllersmentioning

confidence: 99%

The electronic interface for quantum processors

Dijk

Charbon

Foti

2019

Microprocessors and Microsystems

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Quantum computers can potentially provide an unprecedented speed-up with respect to traditional computers. However, a significant increase in the number of quantum bits (qubits) and their performance is required to demonstrate such quantum supremacy. While scaling up the underlying quantum processor is extremely challenging, building the electronics required to interface such large-scale processor is just as relevant and arduous. This paper discusses the challenges in designing a scalable electronic interface for quantum processors. To that end, we discuss the requirements dictated by different qubit technologies and present existing implementations of the electronic interface. The limitations in scaling up such state-of-the-art implementations are analyzed, and possible solutions to overcome those hurdles are reviewed. The benefits offered by operating the electronic interface at cryogenic temperatures in close proximity to the low-temperature qubits are discussed. Although several significant challenges must still be faced by researchers in the field of cryogenic control for quantum processors, a cryogenic electronic interface appears the viable solution to enable large-scale quantum computers able to address world-changing computational problems.

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Section: Cryogenic Controllersmentioning

confidence: 99%

The electronic interface for quantum processors

Dijk

Charbon

Foti

2019

Microprocessors and Microsystems

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“…x [1] [2] [3] (A): w L (x) and |0, 1 = w R (x) which underlines the presence of electron on the left/right side as equivalent to picture from Schrödinger equation [8].). We obtain two energy eigenstates…”

Section: V(x) Of Selmentioning

confidence: 99%

Analytic view on coupled single-electron lines

Pomorski

Giounanlis

Blokhina

et al. 2019

Semicond. Sci. Technol.

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Fundamental properties of two electrostatically interacting single-electron lines (SEL) are determined from a minimalistic tight-binding model. The lines are represented by a chain of coupled quantum wells that could be implemented in a mainstream nanoscale CMOS process technology and tuned electrostatically by DC or AC voltage biases. The obtained results show an essential qualitative difference with two capacitively coupled classical electrical lines. The derived equations and their solutions prove that the two coupled SET lines can create an entanglement between electrons. The results indicate a possibility of constructing electrostatic (non-spin) coupled qubits that could be used as building blocks in a CMOS quantum computer.Index Terms-tight-binding model, Single Electron Lines (SEL), quantum phase transition, entanglement, insulatormetallic transition, electrostatic interaction, two-body problem, programmable quantum matter, quantum transport, single electron transistor

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“…QC consists of a quantum processor which operates at a very low temperature ( a few tens of mK) and an electronic controller which reads out and controls the quantum processors, as shown in Figure 2 [5]. Several forms of physical media (optical fibers and free space) can be used to deliver quantum information.…”

Section: Quantum Computersmentioning

confidence: 99%

Quantum Computing: A Primer

2017

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Abstract-Quantum computing relies on quantum physics. It takes advantage of the inherent ability of subatomic particles to exist in more than one state at any time. Increased interest from both private and public sectors has solidified this technology as a major advancement in the 21st century. Every year quantum computing comes up as a candidate for the Breakthrough Technologies list, but quantum computers merely exist on paper. This paper provides a brief introduction on quantum computing to young researchers and newcomers in the emerging field. Keywords-quantum computing, quantum computers, quantum computation I. INTRODUCTIONThe proliferation of personal computers and the emergence of the Internet have fueled our need for more and more computing power. The trend for decades has been packing more computing power into smaller spaces. According to Moore's law, the number of transistors per chip may be doubled every 18 months. We are currently encountering the limit of Moore's law with respect to how far we can improve classical computers [1]. People are turning to different ways of computing, such as quantum computing, to find ways to cut energy use. It is believed that quantum computers will harness the power of atoms and molecules to perform memory and processing tasks. Quantum computers could be exponentially faster at running artificial-intelligence programs and handling complex simulations and scheduling problems.Quantum computing is the study of information processing tasks using quantum mechanical principles. It combines ideas from classical information theory, computer science, and quantum physics. It is commonly believed that QC holds the key to true artificial intelligence.Paul Benioff is credited with first applying quantum theory to computers in 1981. Canadian company D-wave is the industrial pioneer in building quantum processors or annealers.

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Cryo-CMOS Circuits and Systems for Quantum Computing Applications

Cited by 355 publications

References 54 publications

The electronic interface for quantum processors

The electronic interface for quantum processors

Analytic view on coupled single-electron lines

Quantum Computing: A Primer

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