Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
An improved quantum algorithm of the multislice method
Yucheng Wang, Yang Sun, Z. Ding·Nov 26, 2024
Summary The multislice method is an important algorithm for electron diffraction and image simulations in transmission electron microscopy (TEM). We have proposed a quantum algorithm of the multislice method based on quantum circuit model previously....
Scalable Parameter Design for Superconducting Quantum Circuits with Graph Neural Networks.
Hao Ai, Yu-xi Liu·Nov 25, 2024
To demonstrate supremacy of quantum computing, increasingly large-scale superconducting quantum computing chips are being designed and fabricated. However, the complexity of simulating quantum systems poses a significant challenge to computer-aided d...
Classifying Logical Gates in Quantum Codes via Cohomology Operations and Symmetry
Po-Shen Hsin, Ryohei Kobayashi, Guanyu Zhu·Nov 24, 2024
We systematically construct and classify fault-tolerant logical gates implemented by constant-depth circuits for quantum codes using cohomology operations and symmetry. These logical gates are obtained from unitary operators given by symmetry-protect...
Chip-to-chip quantum photonic controlled-NOT gate teleportation
Lantian Feng, Ming Zhang, Di Liu +7 more·Nov 23, 2024
Quantum networks provide a novel framework for quantum information processing, significantly enhancing system capacity through the interconnection of modular quantum nodes. Beyond the capability to distribute quantum states, the ability to remotely c...
An unconditional distribution learning advantage with shallow quantum circuits
N. Pirnay, S. Jerbi, Jean-Pierre Seifert +1 more·Nov 23, 2024
One of the core challenges of research in quantum computing is concerned with the question whether quantum advantages can be found for near-term quantum circuits that have implications for practical applications. Motivated by this mindset, in this wo...
A Constant Measurement Quantum Algorithm for Graph Connectivity
M. Mansky, Chonfai Kam, Claudia Linnhoff-Popien·Nov 22, 2024
We introduce a novel quantum algorithm for determining graph connectedness using a constant number of measurements. The algorithm can be extended to find connected components with a linear number of measurements. It relies on non-unitary abelian gate...
Imperfect-Information Games on Quantum Computers: A Case Study in Skat
Erika Schulze, Ulrich Armbrüster, Gabriel Maresch +1 more·Nov 22, 2024
For decades it is known that Quantum Computers might serve as a tool to solve a very specific kind of problems that have long thought to be incalculable. Some of those problems are of a combinatorial nature, with the quantum advantage arising from th...
Achieving Computational Gains with Quantum Error-Correction Primitives: Generation of Long-Range Entanglement Enhanced by Error Detection
Haoran Liao, Gavin Hartnett, A. Kakkar +5 more·Nov 22, 2024
The resource overhead required to achieve net computational benefits from quantum error correction (QEC) limits its utility while current systems remain constrained in size, despite exceptional progress in experimental demonstrations. In this paper, ...
EQNN: Enhanced Quantum Neural Network — A Case Study of Mobile Data Usage Prediction
Abel C. H. Chen·Nov 21, 2024
With the maturation of quantum computing technology, research has gradually shifted towards exploring its applications. Alongside the rise of artificial intelligence, various machine learning methods have been developed into quantum circuits and algo...
Benchmarking Quantum Convolutional Neural Networks for Classification and Data Compression Tasks
Jun Yong Khoo, Chee Kwan Gan, W.-Q. Ding +3 more·Nov 20, 2024
Quantum Convolutional Neural Networks (QCNNs) have emerged as promising models for quantum machine learning tasks, including classification and data compression. This paper investigates the performance of QCNNs in comparison to the hardware-efficient...
A universal framework for the quantum simulation of Yang–Mills theory
Jad C. Halimeh, Masanori Hanada, Shunji Matsuura +3 more·Nov 20, 2024
Quantum computers promise to simulate complex quantum field theories that are intractable for classical computers, potentially revealing new physics in strongly interacting systems. Current approaches for simulating Yang-Mills gauge theories face sig...
Measurement-Free Code-Switching Protocol for Low-Overhead Quantum Computation Using Permutation-Invariant Codes
Yingkai Ouyang, Yumang Jing, G. Brennen·Nov 20, 2024
Transversal gates on quantum error correction codes have been a promising approach for fault-tolerant quantum computing, but are limited by the Eastin-Knill no-go theorem. Existing solutions such as gate teleportation and magic state distillation a...
High-fidelity entanglement of metastable trapped-ion qubits with integrated erasure conversion
A. Quinn, G. J. Gregory, I. D. Moore +6 more·Nov 19, 2024
Today's most advanced ion trap quantum computers have significant overhead due to the need for dual-species operation. Looking ahead, logical qubit register sizes will be limited by the encoding rate needed to correct generic Pauli errors. We address...
Hybrid Quantum Deep Learning Model for Emotion Detection using raw EEG Signal Analysis
Ali Asgar Chandanwala, Srutakirti Bhowmik, Parna Chaudhury +1 more·Nov 19, 2024
Applications in behavioural research, human-computer interaction, and mental health depend on the ability to recognize emotions. In order to improve the accuracy of emotion recognition using electroencephalography (EEG) data, this work presents a hyb...
Variational Learning of Integrated Quantum Photonic Circuits via Genetic Algorithm
Hui Zhang, Chengran Yang, Wai-Keong Mok +11 more·Nov 19, 2024
Integrated photonic circuits play a crucial role in implementing quantum information processing in the noisy intermediate‐scale quantum (NISQ) era. Variational learning is a promising avenue that leverages classical optimization techniques to enhance...
Distributed quantum logic algorithm
Boris Arseniev·Nov 18, 2024
Parallel computation enables multiple processors to execute different parts of a task simultaneously, improving processing speed and efficiency. In quantum computing, parallel gate implementation involves executing gates independently in different re...
Mera: Memory Reduction and Acceleration for Quantum Circuit Simulation via Redundancy Exploration
Yuhong Song, E. Sha, Longshan Xu +2 more·Nov 18, 2024
With the development of quantum computing, quantum processor demonstrates the potential supremacy in specific applications, such as Grover's database search and popular quantum neural networks (QNNs). For better calibrating the quantum algorithms and...
Digital-Analog Quantum Machine Learning
L. Lamata·Nov 16, 2024
Machine learning algorithms are extensively used in an increasing number of systems, applications, technologies, and products, both in industry and in society as a whole. They enable computing devices to learn from previous experience and therefore i...
Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach
Abdullah Abdullah, F. R. Sandjaja, A. Majeed +3 more·Nov 15, 2024
This study investigates uncertainty quantification (UQ) using quantum-classical hybrid machine learning (ML) models for applications in complex and dynamic fields, such as attaining resiliency in supply chain digital twins and financial risk assessme...
Reinforced Disentanglers on Random Unitary Circuits
Ning Bao, Keiichiro Furuya, Gun Suer·Nov 14, 2024
We search for efficient disentanglers on random Clifford circuits of two-qubit gates arranged in a brick-wall pattern, using the proximal policy optimization (PPO) algorithm \cite{schulman2017proximalpolicyoptimizationalgorithms}. Disentanglers are d...