Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Shuttle-Exploiting Attacks and Their Defenses in Trapped-Ion Quantum Computers
A. Saki, R. Topaloglu, Swaroop Ghosh·Aug 2, 2021
Trapped-ion (TI) quantum bits are a front-runner technology for quantum computing. TI systems with multiple interconnected traps can overcome the hardware connectivity issue inherent in superconducting qubits and can solve practical problems at scale...
Long-time error-mitigating simulation of open quantum systems on near term quantum computers
Brian Rost, L. Del Re, N. Earnest +3 more·Aug 2, 2021
We study an open quantum system simulation on quantum hardware, which demonstrates robustness to hardware errors even with deep circuits containing up to two thousand entangling gates. We simulate two systems of electrons coupled to an infinite therm...
Hybrid Quantum-Classical Neural Network for Incident Detection
Zadid Khan, S. Khan, J. Tine +7 more·Aug 2, 2021
The effectiveness and dependability of real-time incident detection models directly impact the safety and operational conditions of the affected traffic routes. Recent advancements in cloud-based quantum computing infrastructure and developments in n...
Performance of Teleportation-Based Error-Correction Circuits for Bosonic Codes with Noisy Measurements
Timo Hillmann, Fernando Quijandr'ia, A. Grimsmo +1 more·Aug 2, 2021
Bosonic quantum error-correcting codes offer a viable direction towards reducing the hardware overhead required for fault-tolerant quantum information processing. A broad class of bosonic codes, namely rotation-symmetric codes, can be characterized b...
Pulse engineering of a global field for robust and universal quantum computation
I. Hansen, A. Seedhouse, Andre Saraiva +3 more·Aug 2, 2021
Global control strategies for arrays of qubits are a promising pathway to scalable quantum computing. A continuous-wave global field provides decoupling of the qubits from background noise. However, this approach is limited by variability in the para...
Quantum computation protocol for dressed spins in a global field
A. Seedhouse, I. Hansen, A. Laucht +3 more·Aug 2, 2021
Spin qubits are contenders for scalable quantum computation because of their long coherence times demonstrated in a variety of materials, but individual control by frequency-selective addressing using pulsed spin resonance creates severe technical ch...
Quantum Contextuality
M. Pavičić·Aug 2, 2021
Quantum contextual sets have been recognized as resources for universal quantum computation, quantum steering and quantum communication. Therefore, we focus on engineering the sets that support those resources and on determining their structures and ...
Quantum convolutional neural network for classical data classification
Tak Hur, L. Kim, D. Park·Aug 2, 2021
With the rapid advance of quantum machine learning, several proposals for the quantum-analogue of convolutional neural network (CNN) have emerged. In this work, we benchmark fully parameterized quantum convolutional neural networks (QCNNs) for classi...
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack
Reek Majumder, S. Khan, Fahim Ahmed +6 more·Aug 2, 2021
Image classification must work for autonomous vehicles (AV) operating on public roads, and actions performed based on image misclassification can have serious consequences. Traffic sign images can be misclassified by an adversarial attack on machine ...
Implementation of an advanced dressing protocol for global qubit control in silicon
I. Hansen, A. Seedhouse, K. Chan +6 more·Aug 2, 2021
Quantum computing based on solid state spins allows for densely packed arrays of quantum bits. However, the operation of large-scale quantum processors requires a shift in paradigm toward global control solutions. Here, we report a proof-of-principle...
Conveyor-mode single-electron shuttling in Si/SiGe for a scalable quantum computing architecture
Inga Seidler, Tom Struck, R. Xue +4 more·Aug 2, 2021
Small spin-qubit registers defined by single electrons confined in Si/SiGe quantum dots operate successfully and connecting these would permit scalable quantum computation. Shuttling the qubit carrying electrons between registers is a natural choice ...
Quantum machine learning of large datasets using randomized measurements
T. Haug, C. Self, Myungshik S. Kim·Aug 2, 2021
Quantum computers promise to enhance machine learning for practical applications. Quantum machine learning for real-world data has to handle extensive amounts of high-dimensional data. However, conventional methods for measuring quantum kernels are i...
Quantum collision finding for homomorphic hash functions
J. C. García-Escartín, V. Gimeno, Julio Jos'e Moyano-Fern'andez·Jul 30, 2021
Hash functions are a basic cryptographic primitive. Certain hash functions try to prove security against collision and preimage attacks by reductions to known hard problems. These hash functions usually have some additional properties that allow for ...
Coherent control of electron spin qubits in silicon using a global field
E. Vahapoglu, J. Slack-Smith, R. Leon +13 more·Jul 30, 2021
Silicon spin qubits promise to leverage the extraordinary progress in silicon nanoelectronic device fabrication over the past half century to deliver large-scale quantum processors. Despite the scalability advantage of using silicon technology, reali...
On the closedness and geometry of tensor network state sets
T. Barthel, Jianfeng Lu, G. Friesecke·Jul 30, 2021
Tensor network states (TNS) are a powerful approach for the study of strongly correlated quantum matter. The curse of dimensionality is addressed by parametrizing the many-body state in terms of a network of partially contracted tensors. These tensor...
What can unitary sequences tell us about multi-time physics?
G. White, F. A. Pollock, L. Hollenberg +2 more·Jul 29, 2021
Multi-time quantum processes are endowed with the same richness as multipartite states, including temporal entanglement and exotic causal structures. However, experimentally probing these rich phenomena leans heavily on fast and clean mid-circuit mea...
Pauli channels can be estimated from syndrome measurements in quantum error correction
Thomas Wagner, H. Kampermann, D. Bruß +1 more·Jul 29, 2021
The performance of quantum error correction can be significantly improved if detailed information about the noise is available, allowing to optimize both codes and decoders. It has been proposed to estimate error rates from the syndrome measurements ...
Natural parametrized quantum circuit
T. Haug, M. Kim·Jul 29, 2021
Noisy intermediate scale quantum computers are useful for various tasks such as state preparation and variational quantum algorithms. However, the non-euclidean quantum geometry of parameterized quantum circuits is detrimental for these applications....
Quantum state preparation protocol for encoding classical data into the amplitudes of a quantum information processing register's wave function
S. Ashhab·Jul 29, 2021
We present a protocol for encoding N real numbers stored in N memory registers into the amplitudes of the quantum superposition that describes the state of log2N qubits. This task is one of the main steps in quantum machine learning algorithms applie...
Performance analysis of a hybrid agent for quantum-accessible reinforcement learning
A. Hamann, S. Wölk·Jul 29, 2021
In the last decade quantum machine learning has provided fascinating and fundamental improvements to supervised, unsupervised and reinforcement learning (RL). In RL, a so-called agent is challenged to solve a task given by some environment. The agent...