Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
On the Electromagnetic Couplings in Superconducting Qubit Circuits
E. Forati, B. W. Langley, A. Nersisyan +1 more·May 19, 2024
The precise engineering of electromagnetic couplings is paramount for constructing scalable and high-fidelity superconducting quantum processors. While essential for orchestrating qubit operations, these couplings also present significant design chal...
Attention to quantum complexity
Hyejin Kim, Yiqing Zhou, Yichen Xu +10 more·May 19, 2024
The imminent era of error-corrected quantum computing demands robust methods to characterize quantum state complexity from limited, noisy measurements. We introduce the Quantum Attention Network (QuAN), a classical artificial intelligence (AI) framew...
Ion-Based Quantum Computing Hardware: Performance and End-User Perspective
Thomas Strohm, Karen Wintersperger, F. Dommert +6 more·May 19, 2024
This is the second paper in a series of papers providing an overview of different quantum computing hardware platforms from an industrial end-user perspective. It follows our first paper on neutral-atom quantum computing. In the present paper, we pro...
Gradient Testing and Estimation by Comparisons
Xiwen Tao, Chenyi Zhang, Helin Wang +2 more·May 19, 2024
We study gradient testing and gradient estimation of smooth functions using only a comparison oracle that, given two points, indicates which one has the larger function value. For any smooth $f\colon\mathbb R^n\to\mathbb R$, $\mathbf{x}\in\mathbb R^n...
Storage and retrieval of von Neumann measurements via indefinite causal order structures
Paulina Lewandowska, Ryszard Kukulski·May 18, 2024
This work presents the problem of learning an unknown von Neumann measurement of dimension $d$ using indefinite causal structures. In the considered scenario, we have access to $N$ copies of the measurement. We use formalism of process matrices to st...
QuaLITi: Quantum Machine Learning Hardware Selection for Inferencing with Top-Tier Performance
Koustubh Phalak, Swaroop Ghosh·May 18, 2024
Quantum Machine Learning (QML) is an accelerating field of study that leverages the principles of quantum mechanics to enhance and innovate within machine learning methodologies. However, Noisy Intermediate-Scale Quantum (NISQ) computers suffer from ...
Symmetrically Threaded Superconducting Quantum Interference Devices as Next-Generation Kerr-Cat Qubits
Bibek Bhandari, Irwin Huang, Ahmed Hajr +7 more·May 18, 2024
Kerr-cat qubits are bosonic qubits offering autonomous bit-flip protection, traditionally studied using driven superconducting nonlinear asymmetric inductive element (SNAIL) oscillators. Here, we theoretically explore an alternative circuit for Kerr-...
Dynamic Quantum Key Distribution for Microgrids with Distributed Error Correction
Suman Rath, Neel Kanth Kundu, Subham Sahoo·May 18, 2024
Quantum key distribution (QKD) has often been hailed as a reliable technology for secure communication in cyber–physical microgrids. Even though unauthorised key measurements are not possible in QKD, attempts to read them can disturb quantum states l...
ZX-calculus is Complete for Finite-Dimensional Hilbert Spaces
Boldizsár Poór, R. A. Shaikh, Quanlong Wang·May 17, 2024
The ZX-calculus is a graphical language for reasoning about quantum computing and quantum information theory. As a complete graphical language, it incorporates a set of axioms rich enough to derive any equation of the underlying formalism. While comp...
High-throughput assessment of defect-nuclear spin register controllability for quantum memory applications
Filippos Dakis, E. Takou, Edwin Barnes +1 more·May 17, 2024
Quantum memories play a key role in facilitating tasks within quantum networks and quantum information processing, including secure communications, advanced quantum sensing, and distributed quantum computing. Progress in characterizing large nuclear ...
Simulating X-ray absorption spectroscopy of battery materials on a quantum computer
Stepan Fomichev, Kasra Hejazi, Ignacio Loaiza +5 more·May 17, 2024
X-ray absorption spectroscopy is a crucial experimental technique for elucidating the mechanisms of structural degradation in battery materials. However, extracting information from the measured spectrum is challenging without high-quality simulation...
Scalability enhancement of quantum computing under limited connectivity through distributed quantum computing
Shao-Hua Hu, G. Biswas, Jun-Yi Wu·May 17, 2024
We employ quantum-volume random-circuit sampling to benchmark the two-QPU entanglement-assisted distributed quantum computing (DQC) and compare it with single-QPU quantum computing. We first specify a single-qubit depolarizing noise model in the rand...
Learning low-degree quantum objects
Srinivasan Arunachalam, Arkopal Dutt, Francisco Escudero Guti'errez +1 more·May 17, 2024
We consider the problem of learning low-degree quantum objects up to $\varepsilon$-error in $\ell_2$-distance. We show the following results: $(i)$ unknown $n$-qubit degree-$d$ (in the Pauli basis) quantum channels and unitaries can be learned using ...
Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion
Tianyi Hao, Zichang He, R. Shaydulin +2 more·May 17, 2024
Variational quantum algorithms (VQAs) are a broad class of algorithms with many applications in science and industry. Applying a VQA to a problem involves optimizing a parameterized quantum circuit by maximizing or minimizing a cost function. A parti...
Resource-Efficient Hybrid Quantum-Classical Simulation Algorithm
Chong Hian Chee, Daniel Leykam, A. Mak +2 more·May 17, 2024
Digital quantum computers promise exponential speedups in performing quantum time-evolution, providing an opportunity to simulate quantum dynamics of complex systems in physics and chemistry. However, the task of extracting desired quantum properties...
Adversarial Robustness Guarantees for Quantum Classifiers
Neil Dowling, Maxwell T. West, Angus Southwell +4 more·May 16, 2024
Despite their ever more widespread deployment throughout society, machine learning algorithms remain critically vulnerable to being spoofed by subtle adversarial tampering with their input data. The prospect of near-term quantum computers being capab...
Pruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring
Christian Internò, Elena Raponi, Markus Olhofer +5 more·May 16, 2024
The practical deployment of Federated Learning (FL) on resource-constrained devices is fundamentally limited by the high cost of training large models and the instability caused by heterogeneous (non-IID) client data. Conventional pruning methods oft...
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Zhe Wang, Clare C. Yu, Ruqian Wu·May 16, 2024
Superconducting qubits are a key contender for quantum computing elements, but they often face challenges like noise and decoherence from two-level systems (TLS). Tantalum (Ta) qubits are notable for their long T$_1$ coherence times nearing milliseco...
Blueprint for All-to-All-Connected Superconducting Spin Qubits
M. Pita-Vidal, J. Wesdorp, Christian Kraglund Andersen·May 16, 2024
Andreev (or superconducting) spin qubits (ASQs) have recently emerged as a promising qubit platform that combines superconducting circuits with semiconductor spin degrees of freedom. While recent experiments have successfully coupled two ASQs, how to...
Boosting End-to-End Entanglement Fidelity in Quantum Repeater Networks via Hybridized Strategies
Poramet Pathumsoot, Theerapat Tansuwannont, Naphan Benchasattabuse +5 more·May 16, 2024
Quantum networks are expected to enhance distributed quantum computing and quantum communication over long distances while providing security dependent upon physical effects rather than mathematical assumptions. Through simulation, we show that a qua...