Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Partition function estimation with a quantum coin toss
T. L. Silva, Lucas Borges, Leandro Aolita·Nov 26, 2024
Estimating quantum partition functions is a critical task in a variety of fields. However, the problem is classically intractable in general due to the exponential scaling of the Hamiltonian dimension $N$ in the number of particles. This paper introd...
High-Level Surface Code Decoding via Parallel FFNNs on CIM Platforms
Hao Wang, Erjia Xiao, Wenbo Mu +9 more·Nov 26, 2024
Due to the high sensitivity of qubits to environmental noise, which leads to decoherence and information loss, active quantum error correction(QEC) is essential. Surface codes represent one of the most promising fault-tolerant QEC schemes, but they r...
Mixed-State Quantum Denoising Diffusion Probabilistic Model
Gino Kwun, Bingzhi Zhang, Quntao Zhuang·Nov 26, 2024
Generative quantum machine learning has gained significant attention for its ability to produce quantum states with desired distributions. Among various quantum generative models, quantum denoising diffusion probabilistic models (QuDDPMs) [Phys. Rev....
Protomon: A Multimode Qubit in the Fluxonium Molecule
Shashwat Kumar, X. You, Xanthe Croot +7 more·Nov 25, 2024
Qubits that are intrinsically insensitive to depolarization and dephasing errors promise to significantly reduce the overhead of fault-tolerant quantum computing. At their optimal operating points, the logical states of these qubits exhibit both expo...
Distributing Quantum Computations, Shot-wise
Giuseppe Bisicchia, Giuseppe Clemente, J. García-Alonso +3 more·Nov 25, 2024
NISQ (Noisy Intermediate-Scale Quantum) era constraints, high sensitivity to noise and limited qubit count, impose significant barriers on the usability of QPUs (Quantum Process Units) capabilities. To overcome these challenges, researchers are explo...
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow
Yuji Cao, Yue Chen, Yan Xu·Nov 25, 2024
The stochastic nature of renewable energy and load demand requires efficient and accurate solutions for probabilistic optimal power flow (OPF). Quantum neural networks (QNNs), which combine quantum computing and machine learning, offer computational ...
Dephasing-assisted diffusive dynamics in superconducting quantum circuits
Yongqi Liang, Changrong Xie, Zechen Guo +21 more·Nov 23, 2024
Random fluctuations caused by environmental noise can lead to decoherence in quantum systems. Exploring and controlling such dissipative processes is both fundamentally intriguing and essential for harnessing quantum systems to gain practical advanta...
Towards quantum simulation of lower-dimensional supersymmetric lattice models
E. Mendicelli, D. Schaich·Nov 22, 2024
Supersymmetric models are grounded in the intriguing concept of a hypothetical symmetry that relates bosonic and fermionic particles. This symmetry has profound implications, offering valuable extensions to the Standard Model of particle physics and ...
Continuous Automatic Polarization Channel Stabilization from Heterodyne Detection of Coexisting Dim Reference Signals
Joseph C. Chapman, M. Alshowkan, K. Reaz +2 more·Nov 22, 2024
Quantum networking continues to encode information in polarization states due to ease and precision. The variable environmental polarization transformations induced by deployed fiber need correction for deployed quantum networking. Here we present a ...
Capacity-Achieving Entanglement Purification Protocol for Pauli Dephasing Channel
Ozlem Erkilic, Matthew S. Winnel, Aritra Das +4 more·Nov 21, 2024
Quantum communication enables secure information transmission and entanglement distribution, but these tasks are fundamentally limited by the capacities of quantum channels. While quantum repeaters can mitigate losses and noise, entanglement swapping...
Improved fluxonium readout through dynamic flux pulsing
Taryn V. Stefanski, Figen Yilmaz, Eugene Y. Huang +5 more·Nov 20, 2024
The ability to perform rapid, high fidelity readout of a qubit state is an important requirement for quantum algorithms and, in particular, for enabling operations such as mid-circuit measurements and measurement-based feedback for error correction s...
Optimized four-qubit quantum error correcting code for amplitude damping channel
Xuanhui Mao, Qiang-Da Xu, Liang Jiang·Nov 20, 2024
Quantum error correction (QEC) is essential for reliable quantum information processing. Targeting a particular error channel, both the encoding and the recovery channel can be optimized through a biconvex optimization to give a high-performance, noi...
Cooperative quantum interface for noise mitigation in quantum networks
Yan‐Lei Zhang, Ming Li, Xin-Biao Xu +5 more·Nov 20, 2024
Quantum frequency converters that enable the interface between the itinerant photons and qubits are indispensable for realizing long-distance quantum network. However, the cascaded connection between converters and qubits usually brings additional in...
Asymptotic robustness of entanglement in noisy quantum networks and graph connectivity
Fernando Lledó, Carlos Palazuelos, Julio I. de Vicente·Nov 19, 2024
Quantum networks are promising venues for quantum information processing. This motivates the study of the entanglement properties of the particular multipartite quantum states that underpin these structures. In particular, it has been recently shown ...
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...
Multiplexed readout of Superconductor--Normal-Conductor--Superconductor bolometers
Priyank Singh, Andr'as Gunyh'o, Heikki Suominen +9 more·Nov 19, 2024
Recently, ultrasensitive calorimeters have been proposed as a resource-efficient solution for multiplexed qubit readout in superconducting large-scale quantum processors. However, experiments demonstrating frequency multiplexing of these superconduct...
Reuse-Aware Compilation for Zoned Quantum Architectures Based on Neutral Atoms
Wan-Hsuan Lin, Daniel Bochen Tan, Jason Cong·Nov 18, 2024
Quantum computing architectures based on neutral atoms offer large scales and high-fidelity operations. They can be heterogeneous, with different zones for storage, entangling operations, and readout. Zoned architectures improve computation fidelity ...
Millimeter-Wave Superconducting Qubit
Alexander Anferov, Fanghui Wan, Shannon P. Harvey +2 more·Nov 17, 2024
Manipulating the electromagnetic spectrum at the single-photon level is fundamental for quantum experiments. In the visible and infrared ranges, this can be accomplished with atomic quantum emitters, and with superconducting qubits such control is ex...
Local Clustering Decoder as a fast and adaptive hardware decoder for the surface code
Abbas B. Ziad, Ankit Zalawadiya, Canberk Topal +4 more·Nov 15, 2024
To avoid prohibitive overheads in performing fault-tolerant quantum computation, the decoding problem needs to be solved accurately and at speeds sufficient for fast feedback. Existing decoding systems fail to satisfy both of these requirements, mean...
Quantum similarity learning for anomaly detection
A. Hammad, M. Nojiri, Masahito Yamazaki·Nov 15, 2024
Anomaly detection is a vital technique for exploring signatures of new physics Beyond the Standard Model (BSM) at the Large Hadron Collider (LHC). The vast number of collisions generated by the LHC demands sophisticated deep learning techniques. Simi...