Papers
Live trends in quantum computing research, updated daily from arXiv.
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27,694
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13,008 papers in 12 months (-3% vs prior quarter)
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Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Qubit-Wise Architecture Search Method for Variational Quantum Circuits
Jialin Chen, Zhiqiang Cai, Ke Xu +2 more·Mar 7, 2024
Considering the noise level limit, one crucial aspect for quantum machine learning is to design a high-performing variational quantum circuit architecture with small number of quantum gates. As the classical neural architecture search (NAS), quantum ...
Fast, Robust, and Laser-Free Universal Entangling Gates for Trapped-Ion Quantum Computing
Markus Nünnerich, D. Cohen, Patrick Barthel +4 more·Mar 7, 2024
A novel two-qubit entangling gate for trapped-ion quantum processors is proposed theoretically and demonstrated experimentally. During the gate, double-dressed quantum states are created by applying a phase-modulated continuous driving field. The spe...
Quantum metrology using quantum combs and tensor network formalism
Stanisław Kurdziałek, Piotr Dulian, Joanna Majsak +2 more·Mar 7, 2024
We develop an efficient algorithm for determining optimal adaptive quantum estimation protocols with arbitrary quantum control operations between subsequent uses of a probed channel.We introduce a tensor network representation of an estimation strate...
Heisenberg-Limited Quantum Metrology without Ancillae.
Qiushi Liu, Yuxiang Yang·Mar 7, 2024
Extensive research has been dedicated to the asymptotic theory of quantum metrology, where the goal is to determine the ultimate precision limit of quantum channel estimation when many accesses to the channel are allowed. The ultimate limit has been ...
Mechanically Designing Protected Superconducting Qubits
Trevor McCourt·Mar 6, 2024
Significant progress is required in the engineering of large, interacting quantum systems in order to realize the promises of gate-model quantum computing. Designing such systems is challenging, as the dynamics of continuous variable quantum systems ...
Denoising Gradient Descent in Variational Quantum Algorithms
Lars Simon, Holger Eble, Hagen-Henrik Kowalski +1 more·Mar 6, 2024
In this article we introduce an algorithm for mitigating the adverse effects of noise on gradient descent in variational quantum algorithms. This is accomplished by computing a {\emph{regularized}} local classical approximation to the objective funct...
Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations
Yin Mo, Lei Zhang, Yuanyi Chen +3 more·Mar 6, 2024
Quantum combs play a vital role in characterizing and transforming quantum processes, with wide-ranging applications in quantum information processing. However, obtaining the explicit quantum circuit for the desired quantum comb remains a challenging...
Quantum Mixed-State Self-Attention Network
Fu Chen, Qinglin Zhao, Li Feng +3 more·Mar 5, 2024
Attention mechanisms have revolutionized natural language processing. Combining them with quantum computing aims to further advance this technology. This paper introduces a novel Quantum Mixed-State Self-Attention Network (QMSAN) for natural language...
High-rate 16-node quantum access network based on passive optical network
Ya Pan, Yiming Bian, Yang Li +12 more·Mar 5, 2024
Quantum key distribution can provide information-theoretical secure communication, which is now heading towards building the quantum secure network for real-world applications. In most built quantum secure networks, point-to-multipoint (PTMP) topolog...
Noise-Induced Transition in Optimal Solutions of Variational Quantum Algorithms
C. Li, Imanol Hernandez·Mar 5, 2024
Variational quantum algorithms are promising candidates for delivering practical quantum advantage on noisy intermediate-scale quantum (NISQ) hardware. However, optimizing the noisy cost functions associated with these algorithms is challenging for s...
Passive and active suppression of transduced noise in silicon spin qubits
Jaemin Park, Hyeongyu Jang, H. Sohn +7 more·Mar 5, 2024
Addressing and mitigating decoherence sources plays an essential role in the development of a scalable quantum computing system, which requires low gate errors to be consistently maintained throughout the circuit execution. While nuclear spin-free ma...
Quantum Zeno Monte Carlo for computing observables
Mancheon Han, Hyowon Park, Sangkook Choi·Mar 5, 2024
The recent development of logical quantum processors marks a pivotal transition from the noisy intermediate-scale quantum (NISQ) era to the fault-tolerant quantum computing (FTQC) era. These devices have the potential to address classically challengi...
Recovering Quantum Coherence of a Cavity Qubit Coupled to a Noisy Ancilla through Real-Time Feedback
Uri Goldblatt, Nitzan Kahn, Sergey Hazanov +6 more·Mar 4, 2024
Decoherence in qubits, caused by their interaction with a noisy environment, poses a significant challenge to the development of reliable quantum processors. A prominent source of errors arises from noise in coupled ancillas, which can quickly spread...
Spatially parallel decoding for multi-qubit lattice surgery
Sophia Fuhui Lin, Eric C. Peterson, Krishanu Sankar +1 more·Mar 3, 2024
Running quantum algorithms protected by quantum error correction requires a real time, classical decoder. To prevent the accumulation of a backlog, this decoder must process syndromes from the quantum device at a faster rate than they are generated. ...
Scalable Quantum Algorithms for Noisy Quantum Computers
Julien Gacon·Mar 1, 2024
Quantum computing not only holds the potential to solve long-standing problems in quantum physics, but also to offer speed-ups across a broad spectrum of other fields. However, due to the noise and the limited scale of current quantum computers, may ...
Multiple classical noise mitigation by multiobjective robust quantum optimal control
Bowen Shao, Xiaodong Yang, Ran Liu +4 more·Mar 1, 2024
High-quality control is a fundamental requirement for quantum computation, but practically it is often hampered by the presence of various types of noises, which can be static or time-dependent. In many realistic scenarios, multiple noise sources coe...
A Novel Quantum Algorithm for Ant Colony Optimization
Qian Qiu, Mohan Wu, Qichun Sun +2 more·Mar 1, 2024
Quantum ant colony optimization (QACO) has drew much attention since it combines the advantages of quantum computing and ant colony optimization (ACO) algorithms and overcomes some limitations of the traditional ACO algorithm. However, due to the har...
Fault-tolerant structures for measurement-based quantum computation on a network
Yves van Montfort, S. D. Bone, David Elkouss·Feb 29, 2024
In this work, we introduce a method to construct fault-tolerant measurement-based quantum computation (MBQC) architectures and numerically estimate their performance over various types of networks. A possible application of such a paradigm is distrib...
Open quantum system approaches to superconducting qubits
H. Naeij·Feb 29, 2024
Superconducting qubits are currently a leading platform for developing a scalable quantum computer. However, random and uncontrollable noises from the environment during the design and measurement of qubits lead to limitations in qubit coherence time...
Demonstration of robust and efficient quantum property learning with shallow shadows
Hong-Ye Hu, Andi Gu, Swarnadeep Majumder +7 more·Feb 27, 2024
Extracting information efficiently from quantum systems is crucial for quantum information processing. Classical shadows enable predicting many properties of arbitrary quantum states using few measurements. While random single-qubit measurements are ...