Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Training robust and generalizable quantum models
Julian Berberich, Daniel Fink, Daniel Pranjić +2 more·Nov 20, 2023
Adversarial robustness and generalization are both crucial properties of reliable machine learning models. In this paper, we study these properties in the context of quantum machine learning based on Lipschitz bounds. We derive parameter-dependent Li...
Quantum Strategies for Rendezvous and Domination Tasks on Graphs with Mobile Agents
Giuseppe Viola, Piotr Mironowicz·Nov 20, 2023
This paper explores the application of quantum non-locality, a renowned and unique phenomenon acknowledged as a valuable resource. Focusing on a novel application, we demonstrate its quantum advantage for mobile agents engaged in specific distributed...
VyZX: Formal Verification of a Graphical Quantum Language
Adrian Lehmann, Ben Caldwell, Bhakti Shah +2 more·Nov 20, 2023
Graphical languages are a convenient shorthand to represent computation, with rewrite rules relating one graph to another. In contrast, proof assistants rely heavily on inductive datatypes, particularly when giving semantics to embedded languages. Th...
Qudits for decomposing multiqubit gates and realizing quantum algorithms
E. Kiktenko, Anastasiia S. Nikolaeva, Aleksey K. Fedorov·Nov 20, 2023
The paradigm behind digital quantum computing inherits the idea of using binary information processing. Nature in fact gives much more rich structures of physical objects that can be used for encoding information, which is especially interesting in t...
Evaluating the practicality of quantum optimization algorithms for prototypical industrial applications
Matteo Vandelli, Alessandra Lignarolo, Carlo Cavazzoni +1 more·Nov 20, 2023
The optimization of the power consumption of antenna networks is a problem with a potential impact in the field of telecommunications. In this work, we investigate the application of the quantum approximate optimization algorithm (QAOA) and the quant...
Selective single- and double-mode quantum-limited amplifier
Abdul Mohamed, Elham Zohari, Jarryd J. Pla +2 more·Nov 20, 2023
A quantum-limited amplifier enables the amplification of weak signals while introducing minimal noise dictated by the principles of quantum mechanics. These amplifiers serve a broad spectrum of applications in quantum computing, including fast and ac...
Nav-Q: quantum deep reinforcement learning for collision-free navigation of self-driving cars
Akash Sinha, A. Macaluso, Matthias Klusch·Nov 20, 2023
The task of collision-free navigation (CFN) of self-driving cars is an NP-hard problem usually tackled using deep reinforcement learning (DRL). While DRL methods have proven to be effective, their implementation requires substantial computing resourc...
Efficient learning of Sparse Pauli Lindblad models for fully connected qubit topology
Jose Este Jaloveckas, M. Nguyen, Lilly Palackal +2 more·Nov 20, 2023
The challenge to achieve practical quantum computing considering current hardware size and gate fidelity is the sensitivity to errors and noise. Recent work has shown that by learning the underlying noise model capturing qubit cross-talk, error mitig...
An Efficient Quantum Circuit Construction Method for Mutually Unbiased Bases in $n$-Qubit Systems
Wang Yu, Dongsheng Wu·Nov 20, 2023
Mutually unbiased bases (MUBs) play a crucial role in numerous applications within quantum information science, such as quantum state tomography, error correction, entanglement detection, and quantum cryptography. Utilizing \(2^n + 1\) MUB circuits p...
Quantum approximated cloning-assisted density matrix exponentiation
Pablo Rodriguez-Grasa, Rubén Ibarrondo, Javier Gonzalez-Conde +3 more·Nov 20, 2023
Classical information loading is an essential task for many processing quantum algorithms, constituting a cornerstone in the field of quantum machine learning. In particular, the embedding techniques based on Hamiltonian simulation techniques enable ...
Efficient Algorithms for All Port-Based Teleportation Protocols
Adam Wills, Min-Hsiu Hsieh, Sergii Strelchuk·Nov 20, 2023
Port-based teleportation (PBT) is a form of quantum teleportation in which no corrective unitary is required on the part of the receiver. Two primary regimes exist—deterministic PBT in which teleportation is always successful, but is imperfect, and p...
Circuit complexity of quantum access models for encoding classical data
Xiao-Ming Zhang, Xiao Yuan·Nov 19, 2023
How to efficiently encode classical data is a fundamental task in quantum computing. While many existing works treat classical data encoding as a black box in oracle-based quantum algorithms, their explicit constructions are crucial for the efficienc...
Symbolic Execution for Quantum Error Correction Programs
Wang Fang, Mingsheng Ying·Nov 19, 2023
We define QSE, a symbolic execution framework for quantum programs by integrating symbolic variables into quantum states and the outcomes of quantum measurements. The soundness of QSE is established through a theorem that ensures the correctness of s...
Exotic symmetry breaking properties of self-dual fracton spin models
Giovanni Canossa, L. Pollet, M. Martin-Delgado +2 more·Nov 18, 2023
Fracton codes host unconventional topological states of matter and are promising for fault-tolerant quantum computation due to their large coding space and strong resilience against decoherence and noise. In this work, we investigate the ground-state...
Benchmarking Machine Learning Models for Quantum Error Correction
Tim Fu, Yue Zhao·Nov 18, 2023
Quantum Error Correction (QEC) is one of the fundamental problems in quantum computer systems, which aims to detect and correct errors in the data qubits within quantum computers. Due to the presence of unreliable data qubits in existing quantum comp...
Demonstration of Maxwell demon-assisted Einstein-Podolsky-Rosen steering via superconducting quantum processor
Z. Wang, Ruixia Wang, Peng Zhao +9 more·Nov 18, 2023
The concept of Maxwell demon plays an essential role in connecting thermodynamics and information theory, while entanglement and nonlocality are fundamental features of quantum theory. Given the rapid advancements in the field of quantum information ...
Task Scheduling Optimization with Direct Constraints from a Tensor Network Perspective
Alejandro Mata Ali, Iñigo Perez Delgado, Beatriz García Markaida +1 more·Nov 17, 2023
This work presents a novel method for task optimization in industrial plants using quantum-inspired tensor network technology. This method obtains the best possible combination of tasks on a set of machines with directed constraints while minimizing ...
Realization of a programmable multi-purpose photonic quantum memory with over-thousand qubit manipulations
Sheng Zhang, Jixuan Shi, Z. Cui +4 more·Nov 17, 2023
Quantum networks can enable various applications such as distributed quantum computing, long-distance quantum communication, and network-based quantum sensing with unprecedented performances. One of the most important building blocks for a quantum ne...
Simulating photonic devices with noisy optical elements
Michele Vischi, Giovanni Di Bartolomeo, Massimiliano Proietti +4 more·Nov 17, 2023
Quantum computers are inherently affected by noise. While in the long term, error correction codes will account for noise at the cost of increasing physical qubits, in the near term, the performance of any quantum algorithm should be tested and simul...
Variational quantum-algorithm based self-consistent calculations for the two-site DMFT model on noisy quantum computing hardware
J. Ehrlich, D. F. Urban, Christian Elsässer·Nov 17, 2023
Dynamical ean field theory (DMFT) is one of the powerful computational approaches to study electron correlation effects in solid-state materials and molecules. Its practical applicability is, however, limited by the quantity of numerical resources re...