Papers
Live trends in quantum computing research, updated daily from arXiv.
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27,694
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13,007 papers in 12 months (-3% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Using Bifluxon Tunneling to Protect the Fluxonium Qubit
Waël Ardati, S'ebastien L'eger, Shelender Kumar +8 more·Feb 7, 2024
Encoding quantum information in quantum states with disjoint wave-function support and noise-insensitive energies is the key behind the idea of qubit protection. While fully protected qubits are expected to offer exponential protection against both e...
Robust projective measurements through measuring code-inspired observables
Yingkai Ouyang·Feb 6, 2024
Quantum measurements are ubiquitous in quantum information processing tasks, but errors can render their outputs unreliable. Here, we present a scheme that implements a robust projective measurement through measuring code-inspired observables. Namely...
Curriculum reinforcement learning for quantum architecture search under hardware errors
Yash J. Patel, Akash Kundu, M. Ostaszewski +3 more·Feb 5, 2024
The key challenge in the noisy intermediate-scale quantum era is finding useful circuits compatible with current device limitations. Variational quantum algorithms (VQAs) offer a potential solution by fixing the circuit architecture and optimizing in...
Crosstalk Attacks and Defence in a Shared Quantum Computing Environment
B. Harper, Behnam Tonekaboni, Bahar Goldozian +2 more·Feb 5, 2024
Quantum computing has the potential to provide solutions to problems that are intractable on classical computers, but the accuracy of the current generation of quantum computers suffer from the impact of noise or errors such as leakage, crosstalk, de...
Supervised-learning guarantee for quantum AdaBoost
Yabo Wang, Xin Wang, Bo Qi +1 more·Feb 4, 2024
In the noisy intermediate-scale quantum (NISQ) era, the capabilities of variational quantum algorithms are greatly constrained due to a limited number of qubits and the shallow depth of quantum circuits. We may view these variational quantum algorith...
Comparative study of quantum error correction strategies for the heavy-hexagonal lattice
C'esar Benito, Esperanza L'opez, Borja Peropadre +1 more·Feb 3, 2024
Topological quantum error correction is a milestone in the scaling roadmap of quantum computers, which targets circuits with trillions of gates that would allow running quantum algorithms for real-world problems. The square-lattice surface code has b...
The closed-branch decoder for quantum LDPC codes
Antonio deMarti iOlius, Josu Etxezarreta Martinez·Feb 2, 2024
Quantum error correction is the building block for constructing fault-tolerant quantum processors that can operate reliably even if its constituting elements are corrupted by decoherence. In this context, real-time decoding is a necessity for impleme...
Big data applications on small quantum computers
Boniface Yogendran, Daniel C. Charlton, Miriam Beddig +2 more·Feb 2, 2024
Current quantum hardware prohibits any direct use of large classical datasets. Coresets allow for a succinct description of these large datasets and their solution in a computational task is competitive with the solution on the original dataset. The ...
Qspecklefilter: A Quantum Machine Learning Approach for SAR Speckle Filtering
Francesco Mauro, A. Sebastianelli, M. P. D. Rosso +2 more·Feb 2, 2024
The use of Synthetic Aperture Radar (SAR) has greatly advanced our capacity for comprehensive Earth monitoring, providing detailed insights into terrestrial surface use and cover regardless of weather conditions, and at any time of day or night. Howe...
Hardware Trojans in Quantum Circuits, Their Impacts, and Defense
Rupshali Roy, Subrata Das, Swaroop Ghosh·Feb 2, 2024
The reliability of the outcome of a quantum circuit in near-term noisy quantum computers depends on the gate count and depth for a given problem. Circuits with a short depth and lower gate count can yield the correct solution more often than the vari...
Useful entanglement can be extracted from noisy graph states
Konrad Szymański, Lina Vandré, Otfried Gühne·Feb 1, 2024
Cluster states and graph states in general offer a useful model of the stabilizer formalism and a path toward the development of measurement-based quantum computation. Their defining structure - the stabilizer group - encodes all possible correlation...
System characterization of dispersive readout in superconducting qubits
D. Sank, A. Opremcak, A. Bengtsson +4 more·Feb 1, 2024
Designing quantum systems with the measurement speed and accuracy needed for quantum error correction using superconducting qubits requires iterative design and testing informed by accurate models and characterization tools. We introduce a single pro...
Quantum-Assisted Hilbert-Space Gaussian Process Regression
Ahmad Farooq, Cristian A. Galvis-Florez, Simo Särkkä·Feb 1, 2024
Gaussian processes are probabilistic models that are commonly used as functional priors in machine learning. Due to their probabilistic nature, they can be used to capture the prior information on the statistics of noise, smoothness of the functions,...
Scattering wave packets of hadrons in gauge theories: Preparation on a quantum computer
Z. Davoudi, Chung-Chun Hsieh, Saurabh V. Kadam·Feb 1, 2024
Quantum simulation holds promise of enabling a complete description of high-energy scattering processes rooted in gauge theories of the Standard Model. A first step in such simulations is preparation of interacting hadronic wave packets. To create th...
Power Characterization of Noisy Quantum Kernels
Yabo Wang, Bo Qi, Xin Wang +2 more·Jan 31, 2024
Quantum kernel methods have been widely recognized as one of the promising quantum machine learning (QML) algorithms that have the potential to achieve quantum advantages. However, their capabilities may be severely degraded by inevitable noises in t...
Robust error accumulation suppression for quantum circuits
Tatsuki Odake, Philip Taranto, Nobuyuki Yoshioka +4 more·Jan 30, 2024
We present a \textit{robust error accumulation suppression} (\textbf{REAS}) technique to manage errors in quantum computers. Our method reduces the accumulation of errors in any quantum circuit composed of single- or two-qubit gates expressed as $e^{...
Quantum Time Dynamics Mediated by the Yang-Baxter Equation and Artificial Neural Networks.
Sahil Gulania, Yuri Alexeev, Stephen K. Gray +2 more·Jan 30, 2024
Quantum computing shows great potential, but errors pose a significant challenge. This study explores new strategies for mitigating quantum errors using artificial neural networks (ANNs) and the Yang-Baxter equation (YBE). Unlike traditional error mi...
Tapestry of dualities in decohered quantum error correction codes
Kaixiang Su, Zhou Yang, Chao-Ming Jian·Jan 30, 2024
Quantum error correction (QEC) codes protect quantum information from errors due to decoherence. Many of them also serve as prototypical models for exotic topological quantum matters. Investigating the behavior of the QEC codes under decoherence shed...
Symmetry-Enforced Quadratic Degradability Beyond Low Dimensions
Yun-Feng Lo, Yen-Chi Lee, Min-Hsiu Hsieh·Jan 29, 2024
Approximate degradability provides a powerful framework for bounding the quantum and private capacities of noisy quantum channels in regimes where exact degradability fails. While generic low-noise channels exhibit a non-degradability parameter that ...
A Thorough Study of State Leakage Mitigation in Quantum Computing with One-Time Pad
Chuan Xu, Jamie Sikora, Jakub Szefer·Jan 28, 2024
The ability for users to access quantum computers through the cloud has increased rapidly in recent years. Despite still being Noisy Intermediate-Scale Quantum (NISQ) machines, modern quantum computers are now being actively employed for research and...