Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
28,669
This Month
367
Today
0
Research Volume
13,711 papers in 12 months (-14% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Entanglement entropy dynamics of non-Gaussian states in free boson systems: Random sampling approach
Ryui Kaneko, D. Kagamihara, I. Danshita·Nov 15, 2024
We develop a random sampling method for calculating the time evolution of the R\'{e}nyi entanglement entropy after a quantum quench from an insulating state in free boson systems. Because of the non-Gaussian nature of the initial state, calculating t...
Quantum similarity learning for anomaly detection
A. Hammad, M. Nojiri, Masahito Yamazaki·Nov 15, 2024
Anomaly detection is a vital technique for exploring signatures of new physics Beyond the Standard Model (BSM) at the Large Hadron Collider (LHC). The vast number of collisions generated by the LHC demands sophisticated deep learning techniques. Simi...
Quadratic versus Polynomial Unconstrained Binary Models for Quantum Optimization illustrated on Railway Timetabling
Camille Grange, Marion Lavignac, Valentina Pozzoli +1 more·Nov 15, 2024
Quantum Approximate Optimization Algorithm (QAOA) is one of the most short-term promising quantum-classical algorithm to solve unconstrained combinatorial optimization problems. It alternates between the execution of a parametrized quantum circuit an...
Post-Newtonian Effective Field Theory Approach to Entanglement Harvesting, Quantum Discord and Bell's Nonlocality Bound Near a Black Hole
Feng-Li Lin, Sayid Mondal·Nov 14, 2024
Black holes, as characterized by the Hawking effect and Bekenstein-Hawking entropy, can be treated as a compact object carrying nontrivial quantum information obscured behind the event horizon. Thus, the black hole may convey and retract its quantum ...
Left-Right Relative Entropy
Mostafa Ghasemi·Nov 14, 2024
The concept of distinguishability lies at the heart of quantum information theory. We introduce \textit{left-right relative entropy} as a quantitative measure of distinguishability within the space of boundary states in two-dimensional conformal fiel...
On the structure of higher order quantum maps
Anna Jenčová·Nov 14, 2024
We study higher order quantum maps in the context of a *-autonomous category of affine subspaces. We show that types of higher order maps can be identified with certain Boolean functions that we call type functions. By an extension of this identifica...
Artificial Intelligence for Quantum Computing
Yuri Alexeev, Marwa H. Farag, Taylor L. Patti +25 more·Nov 14, 2024
Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extends to technical challenges within science and engineering, including th...
Optimal State Preparation for Logical Arrays on Zoned Neutral Atom Quantum Computers
Yannick Stade, Ludwig Schmid, Lukas Burgholzer +1 more·Nov 14, 2024
Quantum computing promises to solve problems previously deemed infeasible. However, high error rates necessitate quantum error correction for practical applications. Seminal experiments with zoned neutral atom architectures have shown remarkable pote...
Noise-adapted quantum error correction for non-Markovian noise
Debjyoti Biswas, Shrikant Utagi, Prabha Mandayam·Nov 14, 2024
We consider the problem of quantum error correction (QEC) for non-Markovian noise. Using the well known Petz recovery map, we first show that conditions for approximate QEC can be easily generalized for the case of non-Markovian noise, in the strong ...
Non-Variational ADAPT algorithm for quantum simulations
Ho Lun Tang, Yanzhu Chen, P. Biswas +3 more·Nov 14, 2024
We explore a non-variational quantum state preparation approach combined with the ADAPT operator selection strategy in the application of preparing the ground state of a desired target Hamiltonian. In this algorithm, energy gradient measurements dete...
Efficient quantum simulation of QCD jets on the light front
Wenyang Qian, Meijian Li, Carlos A. Salgado +1 more·Nov 14, 2024
Quark and gluon jets provide one of the best ways to probe the matter produced in ultrarelativistic high-energy collisions, from cold nuclear matter to hot quark-gluon plasma. In this work, we propose a unified framework for efficient quantum simulat...
Architectural Patterns for Designing Quantum Artificial Intelligence Systems
Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu +4 more·Nov 14, 2024
Utilising quantum computing technology to enhance artificial intelligence systems is expected to improve training and inference times, increase robustness against noise and adversarial attacks, and reduce the number of parameters without compromising...
Nonlinear protocol for high-dimensional quantum teleportation
Luca Bianchi, Carlo Marconi, Giulia Guarda +1 more·Nov 14, 2024
Bell measurements, which allow entanglement between uncorrelated distant particles, play a central role in quantum communication. Indeed sharing, measuring and creating entanglement lie at the core of various protocols, such as entanglement swapping ...
AMARETTO: Enabling Efficient Quantum Algorithm Emulation on Low-Tier FPGAs
Christian Conti, Deborah Volpe, Mariagrazia Graziano +2 more·Nov 14, 2024
Researchers and industries are increasingly drawn to quantum computing for its computational potential. However, validating new quantum algorithms is challenging due to the limitations of current quantum devices. Software simulators are time and memo...
Correction of circuit faults in a stacked quantum memory using rank-metric codes
Nicolas Delfosse, Gilles Z'emor·Nov 14, 2024
We introduce a model for a stacked quantum memory made with multi-qubit cells, inspired by multi-level flash cells in classical solid-state drive, and we design quantum error correction codes for this model by generalizing rank-metric codes to the qu...
A universal circuit set using the S3 quantum double
Liyuan Chen, Yuanjie Ren, Ruihua Fan +1 more·Nov 14, 2024
One potential route toward fault-tolerant universal quantum computation is to use non-Abelian topological codes. In this work, we investigate how to achieve this goal with the quantum double model D(S3)\documentclass[12pt]{minimal} \usepackage{amsmat...
Realizing Quantum Kernel Models at Scale with Matrix Product State Simulation
Mekena Metcalf, Pablo Andrés-Martínez, Nathan Fitzpatrick·Nov 14, 2024
Data representation in quantum state space offers an alternative function space for machine learning tasks. However, benchmarking these algorithms at a practical scale has been limited by ineffective simulation methods. We develop a quantum kernel fr...
Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids
Priyanka Arkalgud Ganeshamurthy, K. Ghosh, Corey O’Meara +3 more·Nov 14, 2024
Gaussian process (GP) is a powerful modeling method with applications in machine learning for various engineering and non-engineering fields. Despite numerous benefits of modeling using GPs, the computational complexity associated with GPs demanding ...
AutoQ 2.0: From Verification of Quantum Circuits to Verification of Quantum Programs
Yu-Fang Chen, Kai-Min Chung, Min-Hsiu Hsieh +4 more·Nov 14, 2024
We present a verifier of quantum programs called AutoQ 2.0. Quantum programs extend quantum circuits (the domain of AutoQ 1.0) by classical control flow constructs, which enable users to describe advanced quantum algorithms in a formal and precise ma...
Classical Verification of Quantum Learning Advantages with Noises
Yi Ma, Jiaxi Su, Dong-Ling Deng·Nov 14, 2024
Classical verification of quantum learning allows classical clients to reliably leverage quantum computing advantages by interacting with untrusted quantum servers. Yet, current quantum devices available in practice suffers from a variety of noises a...