Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
31,204
This Month
1,213
Today
0
Research Volume
15,384 papers in 12 months (-8% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
A comment on"Factoring integers with sublinear resources on a superconducting quantum processor"
T. Khattar, N. Yosri·Jul 18, 2023
Quantum computing has the potential to revolutionize cryptography by breaking classical public-key cryptography schemes, such as RSA and Diffie-Hellman. However, breaking the widely used 2048-bit RSA using Shor's quantum factoring algorithm is expect...
Dissipative phase transitions and passive error correction
Yu-Jie Liu, S. Lieu·Jul 18, 2023
We classify different ways to passively protect classical and quantum information, i.e. we do not allow for syndrome measurements, in the context of local Lindblad models for spin systems. Within this family of models, we suggest that passive error c...
Data-driven reactivity prediction of targeted covalent inhibitors using computed quantum features for drug discovery
T. Montgomery, Peter Pog'any, A. Purdy +6 more·Jul 18, 2023
We present an approach to combine novel molecular features with experimental data within a data-driven pipeline. The method is applied to the challenge of predicting the reactivity of a series of sulfonyl fluoride molecular fragments used for drug di...
Quantivine: A Visualization Approach for Large-Scale Quantum Circuit Representation and Analysis
Zhen Wen, Yihan Liu, Siwei Tan +6 more·Jul 18, 2023
Quantum computing is a rapidly evolving field that enables exponential speed-up over classical algorithms. At the heart of this revolutionary technology are quantum circuits, which serve as vital tools for implementing, analyzing, and optimizing quan...
A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction
Fr'ed'eric Marcotte, Pierre-Antoine Mouny, Victor Yon +6 more·Jul 18, 2023
Neural decoders for quantum error correction (QEC) rely on neural networks to classify syndromes extracted from error correction codes and find appropriate recovery operators to protect logical information against errors. Its ability to adapt to hard...
Information-driven Nonlinear Quantum Neuron
Ufuk Korkmaz, Deniz Turkpencce·Jul 18, 2023
The promising performance increase offered by quantum computing has led to the idea of applying it to neural networks. Studies in this regard can be divided into two main categories: simulating quantum neural networks with the standard quantum circui...
Quick charging of a quantum battery with superposed trajectories
Po-Rong Lai, Jhen-Dong Lin, Yi-Te Huang +2 more·Jul 18, 2023
We propose novel charging protocols for quantum batteries based on quantum superpositions of trajectories. Specifically, we consider that a qubit (the battery) interacts with multiple cavities or a single cavity at various positions, where the caviti...
Hamiltonian phase error in resonantly driven CNOT gate above the fault-tolerant threshold
Yiheng Wu, L. Camenzind, A. Noiri +8 more·Jul 18, 2023
Because of their long coherence time and compatibility with industrial foundry processes, electron spin qubits are a promising platform for scalable quantum processors. A full-fledged quantum computer will need quantum error correction, which require...
Quantum Tutte Embeddings
Shion Fukuzawa, M. Goodrich, S. Irani·Jul 17, 2023
Using the framework of Tutte embeddings, we begin an exploration of \emph{quantum graph drawing}, which uses quantum computers to visualize graphs. The main contributions of this paper include formulating a model for quantum graph drawing, describing...
Quantum circuit autoencoder
Jun-Yi Wu, Hao Fu, Mingzheng Zhu +3 more·Jul 17, 2023
Quantum autoencoder is a quantum neural network model for compressing information stored in quantum states. However, one needs to process information stored in quantum circuits for many tasks in the emerging quantum information technology. In this wo...
Quantum Graph Drawing
Susanna Caroppo, G. D. Lozzo, G. Battista·Jul 17, 2023
In this paper, we initiate the study of quantum algorithms in the Graph Drawing research area. We focus on two foundational drawing standards: 2-level drawings and book layouts. Concerning $2$-level drawings, we consider the problems of obtaining dra...
A Quantum Convolutional Neural Network Approach for Object Detection and Classification
Gowri Namratha Meedinti, Kandukuri Sai Srirekha, R. Delhibabu·Jul 17, 2023
This paper presents a comprehensive evaluation of the potential of Quantum Convolutional Neural Networks (QCNNs) in comparison to classical Convolutional Neural Networks (CNNs) and Artificial / Classical Neural Network (ANN) models. With the increasi...
Quantum abstract machines without circuits: the need for higher algorithmic expressiveness
Santiago N'unez-Corrales·Jul 17, 2023
Existing abstract models of quantum computation make reference to circuit elements, much in contrast to their classical counterparts. Circuits, as a model of computation, substantially limit algorithmic expression and obscure high-level connections b...
Key issues review: useful autonomous quantum machines
José Antonio Marín Guzmán, P. Erker, Simone Gasparinetti +2 more·Jul 17, 2023
Controlled quantum machines have matured significantly. A natural next step is to increasingly grant them autonomy, freeing them from time-dependent external control. For example, autonomy could pare down the classical control wires that heat and dec...
Demonstrating a Long-Coherence Dual-Rail Erasure Qubit Using Tunable Transmons
H. Levine, A. Haim, Jimmy S. C. Hung +13 more·Jul 17, 2023
Quantum error correction with erasure qubits promises significant advantages over standard error correction due to favorable thresholds for erasure errors. To realize this advantage in practice requires a qubit for which nearly all errors are such er...
Beyond Classical Attention: Quantum Attention for Scalable Computation
Xuyang Guo, Zhao Song, Xin Yang +1 more·Jul 16, 2023
As large language models (LLMs) demonstrate outstanding performance across various tasks, attention-driven models have profoundly transformed the field of machine learning. Since attention computations account for the primary computational overhead i...
Architectures and Circuits for Distributed Quantum Computing
Daniele Cuomo·Jul 16, 2023
This thesis treats networks providing quantum computation based on distributed paradigms. Compared to architectures relying on one processor, a network promises to be more scalable and less fault-prone. Developing a distributed system able to provide...
Ising Hamiltonians for Constrained Combinatorial Optimization Problems and the Metropolis‐Hastings Warm‐Starting Algorithm
Hui-Min Li, Jin‐Min Liang, Zhixi Wang +1 more·Jul 16, 2023
Quantum approximate optimization algorithm (QAOA) is a promising variational quantum algorithm for combinatorial optimization problems. However, the implementation of QAOA is limited due to the requirement that the problems be mapped to Ising Hamilto...
Single-shot quantum error correction in intertwined toric codes
Charles Stahl·Jul 16, 2023
We construct a new subsystem code in three dimensions that exhibits single-shot error correction in a user-friendly and transparent way. As this code is a subsystem version of coupled toric codes, we call it the intertwined toric code (ITC). Although...
A superconducting quantum information processor with high qubit connectivity
Gurkan Kartal, G. Simion, Bart Sor'ee·Jul 16, 2023
Coupling of transmon qubits to resonators that serve as storage for information provides alternative routes for quantum computing. Such a scheme paves the way for achieving high qubit connectivity, which is a great challenge in cQED systems. Implemen...