A Mixed-Signal Control Core for a Fully Integrated Semiconductor Quantum Computer System-on-Chip

Bashir, Imran; Pomorski, Krzysztof; Staszewski, Robert Bogdan; Asker, Mike; Çetintepe, Çağrı; Leipold, Dirk; Esmailiyan, Ali; Wang, Hongying; Siriburanon, Teerachot; Giounanlis, Panagiotis; Blokhina, Elena

doi:10.1109/esscirc.2019.8902885

Cited by 46 publications

(48 citation statements)

References 5 publications

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“…The state when the electron is actualised in w L is denoted as |0 ≡ |φ L while the state when it is actualized in the right quantum dot -as |1 ≡ |φ R . The time evolution of the states is described by equation (16) written in terms of the probability amplitudes c = (c 1 , c 0 ) T :…”

Section: B One Electron In a Double-quantum-dot: Qubitmentioning

confidence: 99%

“…1. Multiple gate extensions will enable controllable movement of individual electrons as quantum dot as their superposition and entanglement [8], [9], [16], [26]. A qubit based on the SET is also referred to as a 'charge qubit', and was very actively studied between the early 90s and mid-noughties (see, for instance, Ref.…”

Section: Introductionmentioning

confidence: 99%

“…Our research is motivated by recent, significant efforts made to advance quantum qubits and quantum gates implemented in semiconductor and, in particular, CMOS technologies, with a number of very recent studies reporting silicon quantum dots [19]- [21], [28]- [30] and support electronics [16], [31]- [37]. These studies demonstrate a more practical view on quantum computing, highlighting the feasibility of large-scale fully integrated quantum processors, where many qubits will be controlled by the means of conventional electronic circuitry.…”

Section: Introductionmentioning

confidence: 99%

“…These studies demonstrate a more practical view on quantum computing, highlighting the feasibility of large-scale fully integrated quantum processors, where many qubits will be controlled by the means of conventional electronic circuitry. The presented study is particularly relevant to such implementations of quantum processors [16], [38] which may become dominant architectures in the future.…”

Section: Introductionmentioning

confidence: 99%

“…In this work, we focus our attention on a system based on the electrostatic manipulation of single-electron semiconductor charge qubits implemented in modified structures based on FDSOI 22 nm technology [16]. We extend the methodology, commonly applied to a double quantum dot system, to the case of multiple-particle qubits, each having an arbitrary number of energy states, interacting electrostatically.…”

Section: Introductionmentioning

confidence: 99%

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CMOS Position-Based Charge Qubits: Theoretical Analysis of Control and Entanglement

et al. 2020

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In this study, a formal definition, robustness analysis and discussion on the control of a position-based semiconductor charge qubit are presented. Such a qubit can be realized in a chain of coupled quantum dots, forming a register of charge-coupled transistor-like devices, and is intended for CMOS implementation in scalable quantum computers. We discuss the construction and operation of this qubit, its Bloch sphere, and relation with maximally localized Wannier functions which define its positionbased nature. We then demonstrate how to build a tight-binding model of single and multiple interacting qubits from first principles of the Schrödinger formalism. We provide all required formulae to calculate the maximally localized functions and the entries of the Hamiltonian matrix in the presence of interaction between qubits. We use three illustrative examples to demonstrate the electrostatic interaction of electrons and discuss how to build a model for many-electron (qubit) system. To conclude this study, we show that charge qubits can be entangled through electrostatic interaction.INDEX TERMS CMOS technology, charge qubit, position-based qubit, electrostatically controlled qubit, single-electron devices, tight-binding formalism, Schrödinger formalism, entanglement, entanglement entropy, Bloch sphere.2

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Section: B One Electron In a Double-quantum-dot: Qubitmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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CMOS Position-Based Charge Qubits: Theoretical Analysis of Control and Entanglement

et al. 2020

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Monolithically Integrated Quantum Dots in a 22‐nm Fully Depleted Silicon‐on‐Insulator Process Operating at 3 K

Bashir,

Sokolov,

et al. 2024

Circuit Theory & Apps

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Quantum computers comprising large‐scale arrays of qubits will enable complex algorithms to be executed to provide a quantum advantage for practical applications. A prerequisite for this milestone is a power‐efficient qubit control and detection system operating at cryogenic temperatures. Implementing such systems in complementary metal‐oxide‐semiconductor (CMOS) technology offers clear advantages in terms of scalability. Here, we present a fully integrated quantum dot array in which silicon quantum wells are co‐located with control and detection circuitry on the same die in a commercial 22‐nm fully depleted silicon‐on‐insulator (FDSOI) process. Our system comprises a two‐dimensional quantum dot array, integrated with 8 detectors and 32 injectors, operating at 3 K inside a cryo‐cooler. The power consumption of the control and detection circuitry is 2.5 mW per qubit without body biasing. The design utilizes 0.8‐V nominal devices. The setup allows us to verify discrete charge injection control and detection at the quantum dot array and demonstrate the feasibility of this architecture for scaling up the existing quantum core to hundreds and thousands of physical qubits.

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Simulation Methodology for Electron Transfer in CMOS Quantum Dots

Sokolov

Mishagli

Giounanlis

et al. 2020

Lecture Notes in Computer Science

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A Mixed-Signal Control Core for a Fully Integrated Semiconductor Quantum Computer System-on-Chip

Cited by 46 publications

References 5 publications

CMOS Position-Based Charge Qubits: Theoretical Analysis of Control and Entanglement

CMOS Position-Based Charge Qubits: Theoretical Analysis of Control and Entanglement

Monolithically Integrated Quantum Dots in a 22‐nm Fully Depleted Silicon‐on‐Insulator Process Operating at 3 K

Simulation Methodology for Electron Transfer in CMOS Quantum Dots

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