Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Thermal pure states for systems with antiunitary symmetries and their tensor network representations
Yasushi Yoneta·Jul 19, 2024
Thermal pure state algorithms, which employ pure quantum states representing thermal equilibrium states instead of statistical ensembles, are useful both for numerical simulations and for theoretical analysis of thermal states. However, their inheren...
QuOp: A Quantum Operator Representation for Nodes
Andrew Vlasic, Salvador Aguiñaga·Jul 19, 2024
We derive an intuitive and novel method to represent nodes in a graph with special unitary operators, or quantum operators, which does not require parameter training and is competitive with classical methods on scoring similarity between nodes. This ...
Quantum Hamiltonian embedding of images for data reuploading classifiers
Peiyong Wang, Casey R. Myers, Lloyd C. L. Hollenberg +1 more·Jul 19, 2024
When applying quantum computing to machine learning tasks, one of the first considerations is the design of the quantum machine learning model itself. Conventionally, the design of quantum machine learning algorithms relies on the “quantisation” of c...
Routing in Quantum Networks with End-to-End Knowledge
Vinay Kumar, Claudio Cicconetti, M. Conti +1 more·Jul 19, 2024
Given the diverse array of physical systems available for quantum computing and the absence of a well‐defined quantum Internet protocol stack, the design and optimisation of quantum networking protocols remain largely unexplored. To address this, the...
An Efficient Quantum Euclidean Similarity Algorithm for Worldwide Localization
A. Shokry, Moustafa Youssef·Jul 19, 2024
Fingerprinting techniques are widely used for localization because of their accuracy, especially in the presence of wireless channel noise. However, the fingerprinting techniques require significant storage and running time, which is a concern when i...
Emulating quantum computing with optical matrix multiplication
Mwezi Koni, Hadrian Bezuidenhout, I. Nape·Jul 19, 2024
Optical computing harnesses the speed of light to perform vector-matrix operations efficiently. It leverages interference, a cornerstone of quantum computing algorithms, to enable parallel computations. In this work, we interweave quantum computing w...
Subspace-Based Local Compilation of Variational Quantum Circuits for Large-Scale Quantum Many-Body Simulation
S. Kanasugi, Yuichiro Hidaka, Yuya O. Nakagawa +5 more·Jul 19, 2024
Simulation of quantum many-body systems is a promising application of quantum computers. However, implementing the time-evolution operator as a quantum circuit efficiently on near-term devices with limited resources is challenging. Standard approache...
Quantum Data Breach: Reusing Training Dataset by Untrusted Quantum Clouds
S. Upadhyay, Swaroop Ghosh·Jul 19, 2024
Quantum computing (QC) has the potential to rev-olutionize fields like machine learning, security, and healthcare. Quantum machine learning (QML) has emerged as a promising area, enhancing learning algorithms using quantum computers. However, QML mod...
Emergence of phantom cold dark matter from spacetime diffusion
Jonathan Oppenheim, Emanuele Panella, Andrew Pontzen·Jul 18, 2024
General relativity can be reconciled with quantum field theory without quantising the geometry only if the metric evolves stochastically. In this article, we explore the consequences of such a proposal at early cosmological times. We find the stochas...
Scattering Processes from Quantum Simulation Algorithms for Scalar Field Theories
Andrew Hardy, Priyanka Mukhopadhyay, M. Sohaib Alam +8 more·Jul 18, 2024
We provide practical simulation methods for scalar field theories on a quantum computer that yield improved asymptotics as well as concrete gate estimates for the simulation and physical qubit estimates using the surface code. We achieve these improv...
Barycentric bounds on the error exponents of quantum hypothesis exclusion
Kaiyuan Ji, Hemant K. Mishra, Milán Mosonyi +1 more·Jul 18, 2024
Quantum state exclusion is an operational task with application to ontological interpretations of quantum states. In such a task, one is given a system whose state is randomly selected from a finite set, and the goal is to identify a state from the s...
Unruh-DeWitt Quantum Computing: Realizing Quantum Shannon Theory With Quantum Fields
Eric W. Aspling·Jul 18, 2024
Qubit-field quantum transduction provides numerous advantages to quantum computing, such as device-specific error-correcting codes, efficient scalability, and effective entanglement generation. An all-to-all connected bus of qubits implanted around t...
VeriQR: A Robustness Verification Tool for quantum Machine Learning Models
Yanling Lin, J. Guan, Wang Fang +2 more·Jul 18, 2024
Adversarial noise attacks present a significant threat to quantum machine learning (QML) models, similar to their classical counterparts. This is especially true in the current Noisy Intermediate-Scale Quantum era, where noise is unavoidable. Therefo...
Quantum natural stochastic pairwise coordinate descent
Mohammad Aamir Sohail, Mohsen Heidari, S. Pradhan·Jul 18, 2024
Variational quantum algorithms, optimized using gradient-based methods, often exhibit sub-optimal convergence performance due to their dependence on Euclidean geometry. Quantum natural gradient descent (QNGD) is a more efficient method that incorpora...
Fermion determinants on a quantum computer
G. Fleming, P. Shyamsundar, J. Unmuth-Yockey·Jul 18, 2024
We present a quantum algorithm to compute the logarithm of the determinant of the fermion matrix, assuming access to a classical lattice gauge field configuration. The algorithm uses the quantum eigenvalue transform, and quantum mean estimation, givi...
Multi-stage tomography based on eigenanalysis for high-dimensional dense unitary processes in gate-based quantum computers
Y. Deville, A. Deville·Jul 18, 2024
Quantum Process Tomography (QPT) methods aim at identifying, i.e. estimating, a quantum process. QPT is a major quantum information processing tool, since it especially allows one to experimentally characterize the actual behavior of quantum gates, t...
Enhancing Quantum Machine Learning: The Power of Non-Linear Optical Reproducing Kernels
S. Dehdashti, Prayag Tiwari, Kareem H. El Safty +2 more·Jul 18, 2024
Amidst the array of quantum machine learning algorithms, the quantum kernel method has emerged as a focal point, primarily owing to its compatibility with noisy intermediate-scale quantum devices and its promise to achieve quantum advantage. This met...
Qutrit and qubit circuits for three-flavor collective neutrino oscillations
F. Turro, I. Chernyshev, Ramya Bhaskar +1 more·Jul 18, 2024
We explore the utility of qutrits and qubits for simulating the flavor dynamics of dense neutrino systems. The evolution of such systems impacts some important astrophysical processes, such as core-collapse supernovae and the nucleosynthesis of heavy...
A time-parallel multiple-shooting method for large-scale quantum optimal control
N. Petersson, Stefanie Günther, Seung Whan Chung·Jul 18, 2024
Quantum optimal control plays a crucial role in quantum computing by providing the interface between compiler and hardware. Solving the optimal control problem is particularly challenging for multi-qubit gates, due to the exponential growth in comput...
A Security Assessment tool for Quantum Threat Analysis
Basel Halak, Cristian Sebastian Csete, Edward Joyce +5 more·Jul 18, 2024
The rapid advancement of quantum computing poses a significant threat to many current security algorithms used for secure communication, digital authentication, and information encryption. A sufficiently powerful quantum computer could potentially ex...