Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
28,582
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299
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Research Volume
13,638 papers in 12 months (-16% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Balancing Thermal Relaxation Deviations of Near-Future Quantum Computing Results via Bit-Inverted Programs
Enhyeok Jang, Youngmin Kim, Jeewoo Seo +2 more·Feb 28, 2025
One of the predominant causes of program distortion in the real quantum computing system may be attributed to the probability deviation caused by thermal relaxation. We introduce Barber (Balancing reAdout Results using Bit-invErted ciRcuits), a metho...
Improving error suppression with noise-aware decoding
Evan T. Hockings, Andrew C. Doherty, Robin Harper·Feb 28, 2025
We demonstrate that the performance of quantum error correction can be improved with noise-aware decoders that are calibrated to the likelihood of physical error configurations in a device. We show that noise-aware decoding increases the error suppre...
Digital-Controlled Method of Conveyor-Belt Spin Shuttling in Silicon for Large-Scale Quantum Computation
R. Nagai, Takashi Takemoto, Yusuke Wachi +1 more·Feb 28, 2025
We propose a digital-controlled conveyor-belt shuttling method for silicon-based quantum processors, addressing the scalability challenges of conventional analog sinusoidal implementations. By placing a switch matrix and low-pass filters in a cryogen...
Comparative Study of the Ansätze in Quantum Language Models
Jordi Del Castillo, Dan Zhao, Zongrui Pei·Feb 28, 2025
Quantum language models are the alternative to classical language models, which borrow concepts and methods from quantum machine learning and computational linguistics. While several quantum natural language processing (QNLP) methods and frameworks e...
AutoQML: A Framework for Automated Quantum Machine Learning
M. Roth, D. Kreplin, Daniel Basilewitsch +7 more·Feb 28, 2025
Automated Machine Learning (AutoML) has significantly advanced the efficiency of ML-focused software development by automating hyperparameter optimization and pipeline construction, reducing the need for manual intervention. Quantum Machine Learning ...
Bogoliubov-Born-Green-Kirkwood-Yvon hierarchy for quantum error mitigation
Theo Saporiti, Oleg Kaikov, V. Sazonov +1 more·Feb 28, 2025
Mitigation of quantum errors is critical for current NISQ devices. In the present work, we address this task by treating the execution of quantum algorithms as the time evolution of an idealized physical system. We use knowledge of its physics to ass...
Imperfect preparation and Trojan attack on the phase modulator in the decoy-state BB84 protocol
Aleksei Reutov·Feb 28, 2025
Quantum key distribution (QKD) provides a theoretically secure method for cryptographic key exchange by leveraging quantum mechanics, but practical implementations face vulnerabilities such as Trojan horse attack on phase modulators. This work analyz...
Distributed Variational Quantum Algorithm with Many-qubit for Optimization Challenges
Seongmin Kim, In-Saeng Suh·Feb 28, 2025
Optimization problems are critical across various domains, yet existing quantum algorithms, despite their great potential, struggle with scalability and accuracy due to excessive reliance on entanglement. To address these limitations, we propose vari...
LarQucut: A New Cutting and Mapping Approach for Large-sized Quantum Circuits in Distributed Quantum Computing (DQC) Environments
Xinglei Dou, Lei Liu, Zhuohao Wang +1 more·Feb 28, 2025
Distributed quantum computing (DQC) is a promising way to achieve large-scale quantum computing. However, mapping large-sized quantum circuits in DQC is a challenging job; for example, it is difficult to find an ideal cutting and mapping solution whe...
iSWAP gate with polar molecules: Robustness criteria for entangling operations
Matteo Bergonzoni, Sven Jandura, G. Pupillo·Feb 28, 2025
Ultracold polar molecules in optical lattices or tweezer arrays offer a promising platform for quantum information processing and simulation, thanks to their rich internal structure and long-range dipolar interactions. Recent experimental advances no...
Quantum-Assisted Variational Monte Carlo
Longfei Chang, Zhendong Li, Wei-Hai Fang·Feb 28, 2025
Solving the ground state of quantum many-body systems remains a fundamental challenge in physics and chemistry. Recent advancements in quantum hardware have opened new avenues for addressing this challenge. Inspired by the quantum-enhanced Markov cha...
Hybrid quantum neural networks with variational quantum regressor for enhancing QSPR modeling of CO2-capturing amine
Hyein Cho, Jeonghoon Kim, Kyoung Tai No +1 more·Feb 28, 2025
Accurate amine property prediction is essential for optimizing CO2 capture efficiency in post-combustion processes. Quantum machine learning (QML) can enhance predictive modeling by leveraging superposition, entanglement, and interference to capture ...
Leveraging Qubit Loss Detection in Fault Tolerant Quantum Algorithms
Gefen Baranes, Madelyn Cain, J. Pablo Bonilla Ataides +5 more·Feb 27, 2025
Qubit loss errors constitute a dominant source of noise in many quantum hardware systems, particularly in neutral atom quantum computers. We develop a theoretical framework to effectively detect and correct loss errors in logical algorithms and lever...
Fault-Resilience of Dissipative Processes for Quantum Computing
James Purcell, Abhishek Rajput, Toby Cubitt·Feb 27, 2025
Dissipative processes have long been proposed as a means of performing computational tasks on quantum computers that may be intrinsically more robust to noise. In this work, we prove two main results concerning the error-resilience capabilities of tw...
High-Fidelity Integrated Quantum Photonic Logic Via Robust Directional Couplers
Jonatan Piasetzky, Khen Cohen, Yehonatan Drori +4 more·Feb 27, 2025
Scalable quantum information processing with integrated photonics requires quantum logic operations with high fidelity and robustness. Directional couplers, the fundamental elements enabling quantum interference and logic operations, are inherently s...
Simulating non-Abelian statistics of parafermions with superconducting processor
Hongyu Wang, Xiong-jun Liu·Feb 27, 2025
Parafermions, which can be viewed as a fractionalized version of Majorana modes, exhibit profound non-Abelian statistics and emerge in topologically ordered systems, while their realization in experiment has been challenging. Here we propose a novel ...
Quantum low-density parity-check codes for erasure-biased atomic quantum processors
Laura Pecorari, G. Pupillo·Feb 27, 2025
Identifying the best families of quantum error correction (QEC) codes for near-term experiments is key to enabling fault-tolerant quantum computing. Ideally, such codes should have low overhead in qubit number, high physical error thresholds, and mod...
Linear optical quantum computing with a hybrid squeezed cat code
Shohei Kiryu, Kosuke Fukui, A. Okamoto +1 more·Feb 27, 2025
In recent years, squeezed cat codes with resilience to specific types of loss have been proposed as a step toward realizing fault-tolerant optical quantum computers. However, error correction for squeezed cat codes requires a strong nonlinearity, whi...
Experimental realization of a quantum heat engine based on dissipation-engineered superconducting circuits
Tuomas Uusnäkki, Timm Morstedt, Wallace S. Teixeira +2 more·Feb 27, 2025
Quantum heat engines (QHEs) have attracted long-standing scientific interest, especially inspired by considerations of the interplay between heat and work with the quantization of energy levels, quantum superposition, and entanglement. Operating QHEs...
Efficient and Universal Neural-Network Decoder for Stabilizer-Based Quantum Error Correction
Gengyuan Hu, Wanli Ouyang, Chao-Yang Lu +2 more·Feb 27, 2025
Scaling quantum computing to practical applications necessitates reliable quantum error correction. Although numerous correction codes have been proposed, the overall correction efficiency critically limited by the decode algorithms. We introduce Gra...