Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

All-electrical universal control of a double quantum dot qubit in silicon MOS.

Malcolm S. Carroll

Published Dec 12, 2018• 0 citations
OpenAlex

Abstract

Outline  Quantum computing -Why do we care?-What is it? Qubit technology -Where silicon fits in  This work -An all-electrical, simple CMOS-compatible qubit  Results -Qubit readout, control, mechanisms  Conclusion -Prospects for integration

Related papers

19.2 A 110mK 295µW 28nm FDSOI CMOS Quantum Integrated Circuit with a 2.8GHz Excitation and nA Current Sensing of an On-Chip Double Quantum Dot

Loïck Le Guevel, G. Billiot, X. Jehl +8 more

To reach quantum supremacy, quantum computers need >50 logical qubits with <; mv accurate biasing, GHz-range signal handling, and μs readout of thousands of physical qubits at sub-Kelvin temperatures. Silicon-based qubits are a promising approach to scale the qubit number owing to their low footprint (100nm) and gaining from the CMOS industrial background to reach maturity [1]. Moreover, the quantum silicon choice allows the IC community to integrate large-scale qubit-control electronics directly nearby the quantum silicon core, thus drastically reducing the wire-connection number and qubit-addressing fanout, meanwhile increasing the operation bandwidth for error correction and the spin-readout sensitivity.

Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference•Feb 1, 2020•72 citations

Silicon CMOS architecture for a spin-based quantum computer

Menno Veldhorst, H. G. J. Eenink, C. H. Yang +1 more

Recent advances in quantum error correction codes for fault-tolerant quantum computing and physical realizations of high-fidelity qubits in multiple platforms give promise for the construction of a quantum computer based on millions of interacting qubits. However, the classical-quantum interface remains a nascent field of exploration. Here, we propose an architecture for a silicon-based quantum computer processor based on complementary metal-oxide-semiconductor (CMOS) technology. We show how a transistor-based control circuit together with charge-storage electrodes can be used to operate a dense and scalable two-dimensional qubit system. The qubits are defined by the spin state of a single electron confined in quantum dots, coupled via exchange interactions, controlled using a microwave cavity, and measured via gate-based dispersive readout. We implement a spin qubit surface code, showing the prospects for universal quantum computation. We discuss the challenges and focus areas that need to be addressed, providing a path for large-scale quantum computing.

arXiv:1609.09700•Nature Communications•Nov 20, 2017•397 citations

Multi-Qubit Entanglement of Unit Cell Pairs in SiMOS

Cameron Jones, Jonathan Y. Huang, Santiago Serrano +13 more

Spin qubits in silicon-MOS (SiMOS) quantum dots have recently demonstrated compatibility with existing industry standard CMOS fabrication techniques. These devices have routinely achieved single- and two-qubit gate fidelities above 99% and demonstrated highly entangled two-qubit Bell states in isolated double quantum dot (DQD) unit cells, however coupling between unit cells has remained challenging. In this work, we present a two unit cell, four-qubit SiMOS processor with universal controllability and fully parallelised state initialisation and readout. We use this processor to generate maximally entangled three-qubit states, including the Greenberger-Horne-Zeilinger (GHZ) state, and certify multipartite entanglement through violation of the classical Mermin-witness bound. By using a fully symmetric dynamically decoupled gate sequence to create our entangled states, we are able to preserve the lifetime of the entanglement beyond $T_2^*$, to a time limited instead by $T_2^\textrm{Hahn}$. These demonstrations pave a road to the scalable operation of larger SiMOS processors, and achieving high purity, long-lived multi-qubit entangled states in them.

quant-pharXiv:2605.20781•May 21, 2026•0 citations

Brief announcement

James E. Levy, Anand Ganti, Cynthia A. Phillips +5 more

We present and analyze an architecture for a logical qubit memory that is tolerant of faults in the processing of silicon double quantum dot (DQD) qubits. A highlight of our analysis is an in-depth consideration of the constraints faced when integrating DQDs with classical control electronics.

ACM Symposium on Parallelism in Algorithms and Architectures (SPAA)•Aug 11, 2009•7 citations

First solid state qubit

Jaw-Shen Tsai, Yasunobu Nakamura, Yu. A. Pashkin

An overview is given on the demonstration of the electronic control of 1-qubit achieved in a solid state device. The scalability of this qubit is a prerequisite for a practical quantum computer of the future.

•Jan 1, 2000•0 citations

Superconducting Quantum Circuits, Qubits and Computing

Goran P. Wendin, Vitaly S. Shumeiko

This paper gives an introduction to the physics and principles of operation of quantized superconducting electrical circuits for quantum information processing.

arXiv:cond-mat/0508729•Aug 30, 2005•48 citations
To reach quantum supremacy, quantum computers need >50 logical qubits with <; mv accurate biasing, GHz-range signal handling, and μs readout of thousands of physical qubits at sub-Kelvin temperatures. Silicon-based qubits are a promising approach to scale the qubit number owing to their low footprint (100nm) and gaining from the CMOS industrial background to reach maturity [1]. Moreover, the quantum silicon choice allows the IC community to integrate large-scale qubit-control electronics directly nearby the quantum silicon core, thus drastically reducing the wire-connection number and qubit-addressing fanout, meanwhile increasing the operation bandwidth for error correction and the spin-readout sensitivity.
Recent advances in quantum error correction codes for fault-tolerant quantum computing and physical realizations of high-fidelity qubits in multiple platforms give promise for the construction of a quantum computer based on millions of interacting qubits. However, the classical-quantum interface remains a nascent field of exploration. Here, we propose an architecture for a silicon-based quantum computer processor based on complementary metal-oxide-semiconductor (CMOS) technology. We show how a transistor-based control circuit together with charge-storage electrodes can be used to operate a dense and scalable two-dimensional qubit system. The qubits are defined by the spin state of a single electron confined in quantum dots, coupled via exchange interactions, controlled using a microwave cavity, and measured via gate-based dispersive readout. We implement a spin qubit surface code, showing the prospects for universal quantum computation. We discuss the challenges and focus areas that need to be addressed, providing a path for large-scale quantum computing.
Spin qubits in silicon-MOS (SiMOS) quantum dots have recently demonstrated compatibility with existing industry standard CMOS fabrication techniques. These devices have routinely achieved single- and two-qubit gate fidelities above 99% and demonstrated highly entangled two-qubit Bell states in isolated double quantum dot (DQD) unit cells, however coupling between unit cells has remained challenging. In this work, we present a two unit cell, four-qubit SiMOS processor with universal controllability and fully parallelised state initialisation and readout. We use this processor to generate maximally entangled three-qubit states, including the Greenberger-Horne-Zeilinger (GHZ) state, and certify multipartite entanglement through violation of the classical Mermin-witness bound. By using a fully symmetric dynamically decoupled gate sequence to create our entangled states, we are able to preserve the lifetime of the entanglement beyond T2∗T_2^*T2∗​, to a time limited instead by T2HahnT_2^\textrm{Hahn}T2Hahn​. These demonstrations pave a road to the scalable operation of larger SiMOS processors, and achieving high purity, long-lived multi-qubit entangled states in them.