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View article: Every Benchmark All at Once
Every Benchmark All at Once Open
As quantum technology matures, the efficient benchmarking of quantum devices remains a key challenge. Although sample-efficient, information-theoretic benchmarking techniques have recently been proposed, there is still a gap in adapting th…
View article: Accurate ground states of $SU(2)$ lattice gauge theory in 2+1D and 3+1D
Accurate ground states of $SU(2)$ lattice gauge theory in 2+1D and 3+1D Open
We present a neural network wavefunction framework for solving non-Abelian lattice gauge theories in a continuous group representation. Using a combination of $SU(2)$ equivariant neural networks alongside an $SU(2)$ invariant, physics-insp…
View article: Hands-on introduction to randomized benchmarking
Hands-on introduction to randomized benchmarking Open
Randomized benchmarking techniques have been an essential tool for assessing the performance of contemporary quantum devices. The goal of this tutorial is to provide a pedagogical, self-contained, introduction to randomized benchmarking. W…
View article: Hands-on introduction to randomized benchmarking
Hands-on introduction to randomized benchmarking Open
Randomized benchmarking techniques have been an essential tool for assessing the performance of contemporary quantum devices. The goal of this tutorial is to provide a pedagogical, self-contained, introduction to randomized benchmarking. W…
View article: Exploring biological neuronal correlations with quantum generative models
Exploring biological neuronal correlations with quantum generative models Open
View article: Small Quantum Low Parity Density Check Codes for Near-Term Experiments
Small Quantum Low Parity Density Check Codes for Near-Term Experiments Open
It is widely accepted that quantum error correction is essential for realizing large-scale fault-tolerant quantum computing. Recent experiments have demonstrated error correction codes operating below threshold, primarily using local plana…
View article: High-fidelity single-spin shuttling in silicon
High-fidelity single-spin shuttling in silicon Open
The computational power and fault tolerance of future large-scale quantum processors derive in large part from the connectivity between the qubits. One approach to increase connectivity is to engineer qubit–qubit interactions at a distance…
View article: QDsim: A user-friendly toolbox for simulating large-scale quantum dot devices
QDsim: A user-friendly toolbox for simulating large-scale quantum dot devices Open
We introduce QDsim, a Python package tailored for the rapid generation of charge stability diagrams in large-scale quantum dot devices, extending beyond traditional double or triple dots. QDsim is founded on the constant interaction model …
View article: Codebase release 1.1 for QDsim
Codebase release 1.1 for QDsim Open
We introduce QDsim, a Python package tailored for the rapid generation of charge stability diagrams in large-scale quantum dot devices, extending beyond traditional double or triple dots. QDsim is founded on the constant interaction model …
View article: Quantum resources of quantum and classical variational methods
Quantum resources of quantum and classical variational methods Open
Variational techniques have long been at the heart of atomic, solid-state, and many-body physics. They have recently extended to quantum and classical machine learning, providing a basis for representing quantum states via neural networks.…
View article: Gate-tunable phase transition in a resonator-based Su-Schrieffer-Heeger chain
Gate-tunable phase transition in a resonator-based Su-Schrieffer-Heeger chain Open
Metamaterials engineered to host topological states of matter in controllable quantum systems hold promise for the advancement of quantum simulations and quantum computing technologies. In this context, the Su-Schrieffer-Heeger (SSH) model…
View article: autoMEA: machine learning-based burst detection for multi-electrode array datasets
autoMEA: machine learning-based burst detection for multi-electrode array datasets Open
Neuronal activity in the highly organized networks of the central nervous system is the vital basis for various functional processes, such as perception, motor control, and cognition. Understanding interneuronal connectivity and how activi…
View article: Topological finite size effect in one-dimensional chiral symmetric systems
Topological finite size effect in one-dimensional chiral symmetric systems Open
Topological phases of matter have been widely studied for their robustness against impurities and disorder. The broad applicability of topological materials relies on the reliable transition from idealized, mathematically perfect models to…
View article: Data needs and challenges for quantum dot devices automation
Data needs and challenges for quantum dot devices automation Open
Gate-defined quantum dots are a promising candidate system for realizing scalable, coupled qubit systems and serving as a fundamental building block for quantum computers. However, present-day quantum dot devices suffer from imperfections …
View article: Quantum resources of quantum and classical variational methods
Quantum resources of quantum and classical variational methods Open
Variational techniques have long been at the heart of atomic, solid-state, and many-body physics. They have recently extended to quantum and classical machine learning, providing a basis for representing quantum states via neural networks.…
View article: Exploring Biological Neuronal Correlations with Quantum Generative Models
Exploring Biological Neuronal Correlations with Quantum Generative Models Open
Understanding of how biological neural networks process information is one of the biggest open scientific questions of our time. Advances in machine learning and artificial neural networks have enabled the modeling of neuronal behavior, bu…
View article: Mutual information fluctuations and non-stabilizerness in random circuits
Mutual information fluctuations and non-stabilizerness in random circuits Open
The emergence of quantum technologies has brought much attention to the characterization of quantum resources as well as the classical simulatability of quantum processes. Quantum resources, as quantified by non-stabilizerness, have in one…
View article: Dynamical localization in 2D topological quantum random walks
Dynamical localization in 2D topological quantum random walks Open
We study the dynamical localization of discrete time evolution of topological split-step quantum random walk (QRW) on a single-site defect starting from a uniform distribution. Using analytical and numerical calculations, we determine the …
View article: autoMEA: Machine learning-based burst detection for multi-electrode array datasets
autoMEA: Machine learning-based burst detection for multi-electrode array datasets Open
Neuronal activity in the highly organized networks of the central nervous system is the vital basis for various functional processes, such as perception, motor control, and cognition. Understanding interneuronal connectivity and how activi…
View article: Cross-Platform Autonomous Control of Minimal Kitaev Chains
Cross-Platform Autonomous Control of Minimal Kitaev Chains Open
Contemporary quantum devices are reaching new limits in size and complexity, allowing for the experimental exploration of emergent quantum modes. However, this increased complexity introduces significant challenges in device tuning and con…
View article: Gate-tunable phase transition in a bosonic Su-Schrieffer-Heeger chain
Gate-tunable phase transition in a bosonic Su-Schrieffer-Heeger chain Open
Metamaterials engineered to host topological states of matter in controllable quantum systems hold promise for the advancement of quantum simulations and quantum computing technologies. In this context, the Su-Schrieffer-Heeger (SSH) model…
View article: QDsim: A user-friendly toolbox for simulating large-scale quantum dot devices
QDsim: A user-friendly toolbox for simulating large-scale quantum dot devices Open
We introduce QDsim, a python package tailored for the rapid generation of charge stability diagrams in large-scale quantum dot devices, extending beyond traditional double or triple dots. QDsim is founded on the constant interaction model …
View article: Quantifying non-stabilizerness via information scrambling
Quantifying non-stabilizerness via information scrambling Open
The advent of quantum technologies brought forward much attention to the theoretical characterization of the computational resources they provide. A method to quantify quantum resources is to use a class of functions called magic monotones…
View article: Data needs and challenges for quantum dot devices automation
Data needs and challenges for quantum dot devices automation Open
Gate-defined quantum dots are a promising candidate system for realizing scalable, coupled qubit systems and serving as a fundamental building block for quantum computers. However, present-day quantum dot devices suffer from imperfections …
View article: Report on 2204.11236v4
Report on 2204.11236v4 Open
The advent of quantum technologies brought forward much attention to the theoretical characterization of the computational resources they provide.A method to quantify quantum resources is to use a class of functions called magic monotones …
View article: Adversarial Hamiltonian learning of quantum dots in a minimal Kitaev chain
Adversarial Hamiltonian learning of quantum dots in a minimal Kitaev chain Open
Determining Hamiltonian parameters from noisy experimental measurements is a key task for the control of experimental quantum systems. An interesting experimental platform where precise knowledge of device parameters is useful is the quant…
View article: Report on 2204.11236v3
Report on 2204.11236v3 Open
The advent of quantum technologies brought forward much attention to the theoretical characterization of the computational resources they provide.A method to quantify quantum resources is to use a class of functions called magic monotones,…
View article: Report on 2204.11236v3
Report on 2204.11236v3 Open
The advent of quantum technologies brought forward much attention to the theoretical characterization of the computational resources they provide.A method to quantify quantum resources is to use a class of functions called magic monotones,…
View article: Topological entanglement stabilization in superconducting quantum circuits
Topological entanglement stabilization in superconducting quantum circuits Open
Topological properties of quantum systems are among the most intriguing emerging phenomena in condensed matter physics. A crucial property of topological systems is the symmetry-protected robustness towards local noise. Experiments have de…
View article: Adversarial Hamiltonian learning of quantum dots in a minimal Kitaev chain
Adversarial Hamiltonian learning of quantum dots in a minimal Kitaev chain Open
Determining Hamiltonian parameters from noisy experimental measurements is a key task for the control of experimental quantum systems. An experimental platform that recently emerged, and where knowledge of Hamiltonian parameters is crucial…