Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Crosstalk-induced Side Channel Threats in Multi-Tenant NISQ Computers
Navnil Choudhury, Chaithanya Naik Mude, Sanjay Das +3 more·Dec 13, 2024
As quantum computing rapidly advances, its near-term applications are becoming increasingly evident. However, the high cost and under-utilization of quantum resources are prompting a shift from single-user to multi-user access models. In a multi-tena...
A Mathematical Structure for Amplitude-Mixing Error-Transparent Gates for Binomial Codes
Owen C. Wetherbee, Saswata Roy, Baptiste Royer +1 more·Dec 12, 2024
Bosonic encodings of quantum information offer hardware-efficient, noise-biased approaches to quantum error correction relative to qubit register encodings. Implementations have focused in particular on error correction of stored, idle quantum inform...
Control Flow Adaption: An Efficient Simulation Method for Noisy Quantum Networks
Huiping Lin, Ruixuan Deng, Chris Z. Yao +2 more·Dec 12, 2024
Quantum network research at both the software stack and hardware implementation level has become an exciting area of quantum information science. Although demonstrations of small-scale quantum networks have emerged in the past decade, quantum communi...
Separability Lindblad equation for dynamical open-system entanglement
Julien Pinske, Laura Ares, Benjamin Hinrichs +2 more·Dec 11, 2024
Providing entanglement for the design of quantum technologies in the presence of noise constitutes today's main challenge in quantum information science. A framework is required that assesses the build-up of entanglement in realistic settings. In thi...
A mechanical quantum memory for microwave photons
A. Bozkurt, Omid Golami, Yue Yu +2 more·Dec 11, 2024
Superconducting qubits possess outstanding capabilities for processing quantum information in the microwave domain; however they have limited coherence times. An interface between photons and phonons could allow quantum information to be stored in lo...
Deterministic Storage of Quantum Information in the Genetic Code
Roberto Rivelino·Dec 10, 2024
DNA has been proposed as a chemical platform for computing and data storage, paving the way for building DNA-based computers. Recently, DNA has been hypothesized as an ideal quantum computer with the base pairs working as Josephson junctions. There a...
Optimizing Qubit Mapping with Quasi-Orthogonal Space-Time Block Codes and Quaternion Orthogonal Designs
Valentine Nyirahafashimana, Nurisya Mohd Shah, Umair Abdul Halim +2 more·Dec 9, 2024
This study explores the qubit mapping through the integration of Quasi-Orthogonal Space-Time Block Codes (QOSTBCs) with Quaternion Orthogonal Designs (QODs) in quantum error correction (QEC) frameworks. QOSTBCs have gained prominence for enhancing pe...
Entanglement of assistance as a measure of multiparty entanglement
Indranil Biswas, Atanu Bhunia, Subrata Bera +2 more·Dec 9, 2024
Quantifying multipartite entanglement poses a significant challenge in quantum information theory, prompting recent advancements in methodologies to assess it. We introduce the notion of \enquote{Volume of Assistance} (VoA), which computes the geomet...
Performance and achievable rates of the Gottesman-Kitaev-Preskill code for pure-loss and amplification channels
Guo Zheng, Wenhao He, Gideon Lee +2 more·Dec 9, 2024
Quantum error correction codes protect information from realistic noisy channels and lie at the heart of quantum computation and communication tasks. Understanding the optimal performance and other information-theoretic properties, such as the achiev...
Near-optimal pure state estimation with adaptive Fisher-symmetric measurements
C. Vargas, L. Pereira, A. Delgado·Dec 5, 2024
Quantum state estimation is important for various quantum information processes, including quantum communications, computation, and metrology, which require the characterization of quantum states for evaluation and optimization. We present a three-st...
Quantized Hall drift in a frequency-encoded photonic Chern insulator
Alexandre Chénier, Bosco d'Aligny, Félix Pellerin +4 more·Dec 5, 2024
The quantization of transport and its resilience to backscattering are key features for leveraging topological matter in applications that demand stringent noise mitigation, such as metrology and quantum information processing. Due to the bosonic nat...
Clifford-Deformed Compass Codes
Julie A. Campos, Kenneth R. Brown·Dec 5, 2024
We can design efficient quantum error-correcting (QEC) codes by tailoring them to our choice of quantum architecture. Useful tools for constructing such codes include Clifford deformations and appropriate gauge fixings of compass codes. In this work,...
Bayesian Quantum Amplitude Estimation
Alexandra Ramoa, Lu'is Paulo Santos·Dec 5, 2024
We present BAE, a problem-tailored and noise-aware Bayesian algorithm for quantum amplitude estimation. In a fault tolerant scenario, BAE is capable of saturating the Heisenberg limit; if device noise is present, BAE can dynamically characterize it a...
Pauli quantum computing: $I$ as $|0\rangle$ and $X$ as $|1\rangle$
Zhong-Xia Shang·Dec 4, 2024
We propose a new quantum computing formalism named Pauli quantum computing. In this formalism, we use the Pauli basis $I$ and $X$ on the non-diagonal blocks of density matrices to encode information and treat them as the computational basis $|0\rangl...
Single photonic qutrit in a collective Rydberg polariton
Y. Jiao, Oliver D. W. Hughes, Max Z. Festenstein +5 more·Dec 4, 2024
Qutrit with highly efficient algorithms and security is imperative in quantum information processing. Here, we demonstrate for the first time the coherent creation, control, and readout of a single photonic qutrit in a cold Rydberg ensemble. In each ...
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...
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...
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 ...
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...
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...