Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Multi-Class Quantum Convolutional Neural Networks
Marco Mordacci, Davide Ferrari, Michele Amoretti·Apr 19, 2024
Classification is particularly relevant to Information Retrieval, as it is used in various subtasks of the search pipeline. In this work, we propose a quantum convolutional neural network (QCNN) for multi-class classification of classical data. The m...
Scalable Spin Squeezing from Critical Slowing Down in Short-Range Interacting Systems.
T. Roscilde, Filippo Caleca, A. Angelone +1 more·Apr 18, 2024
Long-range spin-spin interactions are known to generate nonequilibrium dynamics that can squeeze the collective spin of a quantum spin ensemble in a scalable manner, leading to states whose metrologically useful entanglement grows with system size. H...
Optimized measurement-free and fault-tolerant quantum error correction for neutral atoms
Stefano Veroni, Markus Müller, G. Giudice·Apr 17, 2024
A major challenge in performing quantum error correction (QEC) is implementing reliable measurements and conditional feed-forward operations. In quantum computing platforms supporting unconditional qubit resets, or a constant supply of fresh qubits, ...
Compression of Quantum Shallow-Circuit States.
Yuxiang Yang·Apr 17, 2024
Shallow quantum circuits feature not only computational advantages over their classical counterparts but also cutting-edge applications. Storing quantum information generated by shallow circuits is a fundamental question of both theoretical and pract...
Hilbert Space Delocalization under Random Unitary Circuits
X. Turkeshi, P. Sierant·Apr 16, 2024
The unitary dynamics of a quantum system initialized in a selected basis state yield, generically, a state that is a superposition of all the basis states. This process, associated with the quantum information scrambling and intimately tied to the re...
Discovering Factorization Surface of Quantum Spin Chains with Machine Learning
Nakul Aggarwal, Keshav Das Agarwal, Tanoy Kanti Konar +2 more·Apr 16, 2024
Entanglement in quantum many-body systems is required for a variety of quantum information tasks, making it crucial to identify the parameter space in which the ground state is fully separable, known as the factorization surface (FS). Nonetheless, th...
Quantum optimal control theory for the shaping of flying qubits
Xue Dong, Xi Cao, Wen-Long Li +3 more·Apr 15, 2024
The control of flying qubits carried by itinerant photons is ubiquitous in quantum networks. Beside their logical states, the shape of flying qubits must also be tailored for high-efficiency information transmission. In this paper, we introduce quant...
Adaptive User-Centric Entanglement Routing in Quantum Data Networks
Lei Wang, Jieming Bian, Jie Xu·Apr 13, 2024
Distributed quantum computing (DQC) holds immense promise in harnessing the potential of quantum computing by interconnecting multiple small quantum computers (QCs) through a quantum data network (QDN). Establishing long-distance quantum entanglement...
Performance analysis of a filtering variational quantum algorithm
Gabriel Marin-Sanchez, D. Amaro·Apr 13, 2024
Even a minor boost in solving combinatorial optimization problems can greatly benefit multiple industries. Quantum computers, with their unique information processing capabilities, hold promise for delivering such enhancements. The filtering variatio...
Optimized Quantum Autoencoder
Yibin Huang, Muchun Yang, D. L. Zhou·Apr 12, 2024
Quantum autoencoder (QAE) compresses a bipartite quantum state into its subsystem using a self-checking mechanism. How to characterize and minimize the lost information in this process is essential for understanding the compression mechanism of QAE. ...
On the coherent extension of some Fano-type learning bounds
Evan Peters·Apr 10, 2024
Information theory provides tools to predict the performance of a learning algorithm on a given dataset. For instance, the accuracy of learning an unknown parameter can be upper bounded by reducing the learning task to hypothesis testing for a discre...
A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search
Abhishek Sadhu, Aritra Sarkar, Akash Kundu·Apr 9, 2024
In the field of quantum computing, variational quantum algorithms (VQAs) represent a pivotal category of quantum solutions across a broad spectrum of applications. These algorithms demonstrate significant potential for realising quantum computational...
Witnessing Quantum Entanglement Using Resonant Inelastic X-ray Scattering
Tianhao Ren, Yao Shen, Marton Lajer +9 more·Apr 8, 2024
Although entanglement is both a central ingredient in our understanding of quantum many-body systems and an essential resource for quantum technologies, we only have a limited ability to quantify entanglement in real quantum materials. Thus far, enta...
Mapping indefinite causal order processes to composable quantum protocols in a spacetime
Matthias Salzger, V. Vilasini·Apr 8, 2024
Formalisms for higher order quantum processes provide a theoretical formalisation of quantum processes where the order of agents’ operations need not be definite and acyclic, but may be subject to quantum superpositions. This has led to the concept o...
Engineering Quantum States with Neutral Atoms
Jan Balewski, M. Kornjača, Katherine Klymko +5 more·Apr 5, 2024
Aquila, an analog quantum simulation platform developed by QuEra Computing, supports control of the position and coherent evolution of up to 256 neutral atoms. This study details novel experimental protocols designed for analog quantum simulators tha...
Circuit Knitting Faces Exponential Sampling Overhead Scaling Bounded by Entanglement Cost
M. Jing, Chengkai Zhu, Xin Wang·Apr 4, 2024
Circuit knitting, a method for connecting quantum circuits across multiple processors to simulate nonlocal quantum operations, is a promising approach for distributed quantum computing. While various techniques have been developed for circuit knittin...
Implementation of Entropically Secure Encryption: Securing Personal Health Data
Mehmet Huseyin Temel, Boris Škorić, I. Monroy·Apr 4, 2024
Entropically secure encryption (ESE) offers unconditional security with shorter keys compared to the One‐Time Pad. Here, the first implementation of ESE for bulk encryption is presented. The main computational bottleneck for bulk ESE is a multiplicat...
Quantum aggregation with temporal delay
Nicolò Lo Piparo, W. Munro, K. Nemoto·Apr 4, 2024
Advanced quantum networking systems rely on efficient quantum error correction codes for their optimal realization. The rate at which the encoded information is transmitted is a fundamental limit that affects the performance of such systems. Quantum ...
A Kerr kernel quantum learning machine
Carolyn E. Wood, Sally Shrapnel, G. Milburn·Apr 2, 2024
Kernel methods are of current interest in quantum machine learning due to similarities with quantum computing in how they process information in high-dimensional feature (Hilbert) spaces. Kernels are believed to offer particular advantages when they ...
Review of Distributed Quantum Computing. From single QPU to High Performance Quantum Computing
David Barral, F. J. Cardama, Guillermo Díaz +10 more·Apr 1, 2024
The emerging field of quantum computing has shown it might change how we process information by using the unique principles of quantum mechanics. As researchers continue to push the boundaries of quantum technologies to unprecedented levels, distribu...