199 citations · 967 across the 28 of their papers we have counts for
29 papers
Reservoir- and Measurement-free Microwave Initialization of Semiconductor Spin Qubits
Leon C. Camenzind, Ik Kyeong Jin, Akito Noiri +4
Scalable quantum processors require repeated qubit initialization throughout large arrays. In semiconductor spin qubits, fast initialization commonly relies on local reservoir acce…
Assessing fidelity-limiting factors and achieving single-qubit gate fidelity beyond 99.999% in driven silicon spin qubits
Kenta Takeda, Akito Noiri, Takashi Nakajima +4
In semiconductor single-spin qubits, high-fidelity quantum gates have been demonstrated; however, achieving consistent performance remains challenging due to variations in driven q…
Scaling of silicon spin qubits under correlated noise
Juan S. Rojas-Arias, Leon C. Camenzind, Yi-Hsien Wu +8
The path to fault-tolerant quantum computing hinges on hardware that scales while remaining compatible with quantum error correction (QEC). Silicon spin qubits are a leading hardwa…
Noise cross-correlations from single-shot measurements
Juan S. Rojas-Arias, Peter Stano, Yi-Hsien Wu +3
We introduce a novel method that we call Single-Shot Cross-Spectroscopy (SSCS), for extracting the auto- and cross-power spectral densities of dephasing noise of a qubit pair. The…
Simultaneous High-Fidelity Single-Qubit Gates in a Spin Qubit Array
Yi-Hsien Wu, Leon C. Camenzind, Patrick Bütler +8
Silicon spin qubits offer a promising path to scalable quantum computing due to their compatibility with industrial semiconductor manufacturing and recent advances in multi-qubit i…
Charge-induced energy shift of a single-spin qubit under a magnetic-field gradient
Takashi Kobayashi, Akito Noiri, Takashi Nakajima +5
An electron confined by a semiconductor quantum dot (QD) can be displaced by changes in electron occupations of surrounding QDs owing to the Coulomb interaction. For a single-spin…
Compromise-Free Scaling of Qubit Speed and Coherence
Miguel J. Carballido, Simon Svab, Rafael S. Eggli +12
Across leading qubit platforms, a common trade-off persists: increasing coherence comes at the cost of operational speed, reflecting the notion that protecting a qubit from its noi…
Rapid single-shot parity spin readout in a silicon double quantum dot with fidelity exceeding 99 %
Kenta Takeda, Akito Noiri, Takashi Nakajima +5
Silicon-based spin qubits offer a potential pathway toward realizing a scalable quantum computer owing to their compatibility with semiconductor manufacturing technologies. Recent…
Hamiltonian Phase Error in Resonantly Driven CNOT Gate Above the Fault-Tolerant Threshold
Yi-Hsien Wu, Leon C. Camenzind, Akito Noiri +8
Because of their long coherence time and compatibility with industrial foundry processes, electron spin qubits are a promising platform for scalable quantum processors. A full-fled…
Phase driving hole spin qubits
Stefano Bosco, Simon Geyer, Leon C. Camenzind +7
The spin-orbit interaction in spin qubits enables spin-flip transitions, resulting in Rabi oscillations when an external microwave field is resonant with the qubit frequency. Here,…
Two-qubit logic with anisotropic exchange in a fin field-effect transistor
Simon Geyer, Bence Hetényi, Stefano Bosco +7
Semiconductor spin qubits offer a unique opportunity for scalable quantum computation by leveraging classical transistor technology. Hole spin qubits benefit from fast all-electric…
Identifying Pauli spin blockade using deep learning
Jonas Schuff, Dominic T. Lennon, Simon Geyer +9
Pauli spin blockade (PSB) can be employed as a great resource for spin qubit initialisation and readout even at elevated temperatures but it can be difficult to identify. We presen…
Bridging the reality gap in quantum devices with physics-aware machine learning
D. L. Craig, H. Moon, F. Fedele +9
The discrepancies between reality and simulation impede the optimisation and scalability of solid-state quantum devices. Disorder induced by the unpredictable distribution of mater…
Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning
B. Severin, D. T. Lennon, L. C. Camenzind +20
The potential of Si and SiGe-based devices for the scaling of quantum circuits is tainted by device variability. Each device needs to be tuned to operation conditions. We give a ke…
A hole spin qubit in a fin field-effect transistor above 4 kelvin
Leon C. Camenzind, Simon Geyer, Andreas Fuhrer +3
The greatest challenge in quantum computing is achieving scalability. Classical computing previously faced a scalability issue, solved with silicon chips hosting billions of fin fi…
Isotropic and Anisotropic g-factor Corrections in GaAs Quantum Dots
Leon C. Camenzind, Simon Svab, Peter Stano +5
We experimentally determine isotropic and anisotropic g-factor corrections in lateral GaAs single-electron quantum dots. We extract the Zeeman splitting by measuring the tunnel rat…
Quantum measurement induces a many-body transition
Michael S. Ferguson, Leon C. Camenzind, Clemens Müller +5
The current revolution in quantum technologies relies on the ability to isolate, coherently control, and measure the state of quantum systems. The act of measurement in quantum mec…
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
V. Nguyen, S. B. Orbell, D. T. Lennon +9
Deep reinforcement learning is an emerging machine learning approach which can teach a computer to learn from their actions and rewards similar to the way humans learn from experie…
Silicon quantum dot devices with a self-aligned second gate layer
Simon Geyer, Leon C. Camenzind, Lukas Czornomaz +5
We implement silicon quantum dot devices with two layers of gate electrodes using a self-alignment technique, which allows for ultra-small gate lengths and intrinsically perfect la…
Ultrafast Hole Spin Qubit with Gate-Tunable Spin-Orbit Switch
F. N. M. Froning, L. C. Camenzind, O. A. H. van der Molen +4
A key challenge in quantum computation is the implementation of fast and local qubit control while simultaneously maintaining coherence. Qubits based on hole spins offer, through t…
Quantum device fine-tuning using unsupervised embedding learning
N. M. van Esbroeck, D. T. Lennon, H. Moon +8
Quantum devices with a large number of gate electrodes allow for precise control of device parameters. This capability is hard to fully exploit due to the complex dependence of the…
Machine learning enables completely automatic tuning of a quantum device faster than human experts
H. Moon, D. T. Lennon, J. Kirkpatrick +10
Device variability is a bottleneck for the scalability of semiconductor quantum devices. Increasing device control comes at the cost of a large parameter space that has to be explo…
Efficiently measuring a quantum device using machine learning
D. T. Lennon, H. Moon, L. C. Camenzind +6
Scalable quantum technologies will present challenges for characterizing and tuning quantum devices. This is a time-consuming activity, and as the size of quantum systems increases…
Radio-frequency reflectometry of a quantum dot using an ultra-low-noise SQUID amplifier
F. J. Schupp, F. Vigneau, Y. Wen +12
Fault-tolerant spin-based quantum computers will require fast and accurate qubit readout. This can be achieved using radio-frequency reflectometry given sufficient sensitivity to t…