Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
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...
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 ...
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...
Quantum computing inspired paintings: reinterpreting classical masterpieces
Arianna Crippa, Yahui Chai, Omar Costa Hamido +2 more·Nov 14, 2024
We aim to apply a quantum computing technique to compose artworks. The main idea is to revisit three paintings of different styles and historical periods:''Narciso'', painted circa 1597-1599 by Michelangelo Merisi (Caravaggio),''Les fils de l'homme''...
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 ...
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 ...
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...
Real-time measurement error mitigation for one-way quantum computation
T. Hartung, Stephan Schuster, J. Zanthier +1 more·Nov 13, 2024
We propose a quantum error mitigation scheme for single-qubit measurement errors, particularly suited for one-way quantum computation. Contrary to well established error mitigation methods for circuit-based quantum computation, that require to run th...
A fiber array architecture for atom quantum computing
Xiao Li, Jiayi Hou, Jia-Chao Wang +8 more·Nov 13, 2024
Arrays of single atoms trapped in optical tweezers are increasingly recognized as a promising platform for scalable quantum computing. In both the fault-tolerant and NISQ eras, the ability to individually control qubits is essential for the efficient...
Extending Quantum Perceptrons: Rydberg Devices, Multi-Class Classification, and Error Tolerance
Ishita Agarwal, T. Patti, Rodrigo Araiza Bravo +2 more·Nov 13, 2024
Quantum Neuromorphic Computing (QNC) merges quantum computation with neural computation to create scalable, noise-resilient algorithms for quantum machine learning (QML). At the core of QNC is the quantum perceptron (QP), which leverages the analog d...
A cat qubit stabilization scheme using a voltage biased Josephson junction
Thiziri Aissaoui, A. Murani, R. Lescanne +1 more·Nov 12, 2024
DC-voltage-biased Josephson junctions have been recently employed in superconducting circuits for Hamiltonian engineering, demonstrating microwave amplification, single photon sources and entangled photon generation. Compared to more conventional app...
Trapped-ion quantum simulation of the Fermi-Hubbard model as a lattice gauge theory using hardware-aware native gates
Dhruv Srinivasan, Alex Beyer, Daiwei Zhu +8 more·Nov 12, 2024
The Fermi-Hubbard model (FHM) is a simple yet rich model of strongly interacting electrons with complex dynamics and a variety of emerging quantum phases. These properties make it a compelling target for digital quantum simulation. Trotterization-bas...
Low Bit‐Flip Rate Probabilistic Error Cancellation
Mathys Rennela, Harold Ollivier·Nov 10, 2024
Noise remains one of the most significant challenges in the development of reliable and scalable quantum processors. While quantum error correction and mitigation techniques offer potential solutions, they are often limited by the substantial overhea...
Analysis of the confinement string in (2 + 1)-dimensional Quantum Electrodynamics with a trapped-ion quantum computer
Arianna Crippa, Karl Jansen, Enrico Rinaldi·Nov 8, 2024
Compact lattice Quantum Electrodynamics is a complex quantum field theory with dynamical gauge and matter fields and it has similarities with Quantum Chromodynamics, in particular asymptotic freedom and confinement. We consider a (2+1)-dimensional la...
Quantum benchmarking of high-fidelity noise-biased operations on a detuned Kerr-cat qubit.
Bingcheng Qing, Ahmed Hajr, Ke Wang +19 more·Nov 7, 2024
Ubiquitous noise sources in quantum systems remain a key obstacle to building quantum computers, necessitating the use of quantum error correction codes. Recently, error-correcting codes tailored for noise-biased systems have been shown to offer high...
Tailoring dynamical codes for biased noise: the X3Z3 Floquet code
F. Setiawan, Campbell McLauchlan·Nov 7, 2024
We propose the X3Z3 Floquet code, a dynamical code with improved performance under biased noise compared to other Floquet codes. The enhanced performance is attributed to a simplified decoding problem resulting from a persistent stabiliser-product sy...
Quantum Advantage with Faulty Oracle
David Rasmussen Lolck, Laura Manvcinska, Manaswi Paraashar·Nov 7, 2024
This paper investigates the impact of noise in the quantum query model, a fundamental framework for quantum algorithms. We focus on the scenario where the oracle is subject to non-unitary (or irreversible) noise, specifically under the \textit{faulty...
Complexity of Local Quantum Circuits under Nonunital Noise
O. Shtanko, Kunal Sharma·Nov 7, 2024
It is widely accepted that noisy quantum devices are limited to logarithmic depth circuits unless mid-circuit measurements and error correction are employed. However, this conclusion holds only for unital error channels, such as depolarizing noise. B...
Quantum Diffusion Models for Few-Shot Learning
Ruhan Wang, Ye Wang, Jing Liu +1 more·Nov 6, 2024
Modern quantum machine learning (QML) methods involve the variational optimization of parameterized quantum circuits on training datasets, followed by predictions on testing datasets. Most state-of-the-art QML algorithms currently lack practical adva...
Self-consistent Quantum Linear Response with a Polarizable Embedding Environment.
Peter Reinholdt, E. Kjellgren, K. M. Ziems +3 more·Nov 6, 2024
Quantum computing presents a promising avenue for solving complex problems, particularly in quantum chemistry, where it could accelerate the computation of molecular properties and excited states. This work focuses on computing excitation energies wi...