Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
SymBreak: Mitigating Quantum Degeneracy Issues in QLDPC Code Decoders by Breaking Symmetry
Keyi Yin, Xiang Fang, Jixuan Ruan +7 more·Dec 3, 2024
Quantum error correction (QEC) is critical for scalable and reliable quantum computing, but existing solutions, such as surface codes, incur significant qubit overhead. Quantum low-density parity check (qLDPC) codes have recently emerged as a promisi...
Sample-based Hamiltonian and Lindbladian simulation: non-asymptotic analysis of sample complexity
Byeong-Yoon Go, Hyukjoon Kwon, Siheon Park +2 more·Dec 3, 2024
Density matrix exponentiation (DME) is a quantum algorithm that processes multiple copies of a program state σ to realize the Hamiltonian evolution e−iσt. Wave matrix Lindbladization (WML) similarly processes multiple copies of a program state ψL in ...
Ground State Energy Estimation on Current Quantum Hardware Through The Variational Quantum Eigensolver: A Comprehensive Study
N. Belaloui, Abdellah Tounsi, Rabah Abdelmouheymen Khamadja +4 more·Dec 3, 2024
While numerical simulations are presented in most papers introducing new methods to enhance the VQE performance, comprehensive, comparative, and applied studies remain relatively rare. We present a comprehensive, yet concise guide for the implementat...
The fabulous world of GKP codes
Jonathan Conrad·Dec 3, 2024
Quantum error correction is an essential ingredient in the development of quantum technologies. Its subject is to investigate ways to embed quantum Hilbert spaces into a physical system such that this subspace is robust against small imperfections in...
Lean Classical‐Quantum Hybrid Neural Network Model for Image Classification
A. Liu, Cuihong Wen, Jieci Wang·Dec 3, 2024
The integration of algorithms from quantum information with neural networks has enabled unprecedented advancements in various domains. Nonetheless, the application of quantum machine learning algorithms for image classification predominantly relies o...
GQWformer: A Quantum-based Transformer for Graph Representation Learning
Lei Yu, Hongyang Chen, Jingsong Lv +1 more·Dec 3, 2024
Graph Transformers (GTs) have demonstrated significant advantages in graph representation learning through their global attention mechanisms. However, the self-attention mechanism in GTs tends to neglect the inductive biases inherent in graph structu...
Persistence of Entangled States and High Fidelity Quantum Gate Operations in Si/SiGe Spin Qubits at High Temperature
S. Amitonov, A. Aprà, M. Asker +20 more·Dec 2, 2024
We characterize single- and two-qubit operations in a SiGe quantum dot array, from the perspective of its quantum information processing capabilities. The analysis includes rigorous randomized benchmarking of single- and two-qubit gates, SPAM charact...
An access model for quantum encoded data
Miguel Murça, Paul K. Faehrmann, Yasser Omar·Dec 2, 2024
We introduce and investigate a data access model (approximate sample and query) that is satisfiable by the preparation and measurement of block encoded states, as well as in contexts such as classical quantum circuit simulation or Pauli sampling. We ...
CaliScalpel: In-Situ and Fine-Grained Qubit Calibration Integrated with Surface Code Quantum Error Correction
Xiang Fang, Keyi Yin, Yuchen Zhu +8 more·Dec 2, 2024
Quantum Error Correction (QEC) is a cornerstone of fault-tolerant, large-scale quantum computing. However, qubit error drift significantly degrades QEC performance over time, necessitating periodic calibration. Traditional calibration methods disrupt...
Implementing semiclassical Szegedy walks in classical-quantum circuits for homomorphic encryption
S. A. Ortega, Pablo Fernández, M. Martin-Delgado·Dec 2, 2024
As cloud services continue to expand, the security of private data stored and processed in these environments has become paramount. This work delves into quantum homomorphic encryption (QHE), an emerging technology that facilitates secure computation...
Sample-Efficient Estimation of Nonlinear Quantum State Functions
Hongshun Yao, Yingjian Liu, Tengxiang Lin +1 more·Dec 2, 2024
Efficient estimation of nonlinear functions of quantum states is crucial for various key tasks in quantum computing, such as entanglement spectroscopy, fidelity estimation, and feature analysis of quantum data. Conventional methods using state tomogr...
Programming Variational Quantum Circuits with Quantum-Train Agent
Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen +2 more·Dec 2, 2024
This study introduces the Quantum-Train Quantum Fast Weight Programmer (QT-QFWP) framework, enabling efficient and scalable programming of variational quantum circuits (VQCs) through quantum-driven parameter updates for the classical slow programmer ...
Precision study of the massive Schwinger model near quantum criticality
Erick Arguello Cruz, G. Tarnopolsky, Yuan Xin·Dec 2, 2024
We perform a numerical analysis of the massive Schwinger model in the presence of a background electric field. Using the Density Matrix Renormalization Group approach, we efficiently compute the spectrum of the Schwinger model on a staggered lattice ...
Theory of the divacancy in 4H-SiC: impact of Jahn-Teller effect on optical properties
Vytautas Žalandauskas, Rokas Silkinis, L. Vines +2 more·Dec 2, 2024
Understanding the optical properties of color centers in silicon carbide is essential for their use in quantum technologies, such as single-photon emission and spin-based qubits. In this work, first-principles calculations were employed using the r2S...
Feasibility of Logical Bell State Generation in Memory-Assisted Quantum Networks
Vladlen Galetsky, Nilesh Vyas, A. Comin +1 more·Dec 2, 2024
This study explores the feasibility of utilizing quantum error correction (QEC) to generate and store logical Bell states in heralded quantum entanglement protocols, crucial for quantum repeater networks. Two lattice surgery-based protocols (local an...
Simultaneously optimizing symmetry shifts and tensor factorizations for cost-efficient Fault-Tolerant Quantum Simulations of electronic Hamiltonians
Konrad Deka, Emil Zak·Dec 2, 2024
In fault-tolerant quantum computing, the cost of calculating Hamiltonian eigenvalues using the quantum phase estimation algorithm is proportional to the constant scaling the Hamiltonian matrix block-encoded in a unitary circuit. We present a method t...
Approximate Quantum Circuit Synthesis for Diagonal Unitary
Wenqi Zhang, Jinyang Liu, Zixiang Zhou +1 more·Dec 2, 2024
The quantum circuit synthesis problem bridges quantum algorithm design and quantum hardware implementation in the Noisy Intermediate-Scale Quantum (NISQ) era. In quantum circuit synthesis problems, diagonal unitary synthesis plays a crucial role due ...
Hamiltonian characterization of multi-time processes with classical memory
Kaumudibikash Goswami, Abhinash Kumar Roy, Varun Srivastava +4 more·Dec 2, 2024
A central problem in open quantum systems is the characterization of non-Markovian processes, where an environment retains the memory of its interaction with the system. A key distinction is whether or not this memory can be simulated classically, as...
Enhanced feature encoding and classification on distributed quantum hardware
Roberto Moretti, Andrea Giachero, V. Radescu +1 more·Dec 2, 2024
The steady progress of quantum hardware is motivating the search for novel quantum algorithm optimization strategies for near-term, real-world applications. In this study, we propose a novel feature map optimization strategy for quantum support vecto...
Quantum Pointwise Convolution: A Flexible and Scalable Approach for Neural Network Enhancement
An Ning, Tai-Yue Li, Nan-Yow Chen·Dec 2, 2024
In this study, we propose a novel architecture, the Quantum Pointwise Convolution, which incorporates pointwise convolution within a quantum neural network framework. Our approach leverages the strengths of pointwise convolution to efficiently integr...