Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Nonlinear Domain Engineering for Quantum Technologies
Tim F. Weiss, Alberto Peruzzo·Mar 23, 2025
The continuously growing effort towards developing real-world quantum technological applications has come to demand an increasing amount of flexibility from its respective platforms. This review presents a highly adaptable engineering technique for p...
Strengthening the No-Go Theorem for QRNGs
Vardaan Mongia, Abhishek Kumar, Shashi Prabhakar +1 more·Mar 23, 2025
Quantum random numbers are essential for security against quantum algorithms. Randomness as a beacon is a service being provided for companies and governments to upgrade their security standards from RSA to PQC-QKD or PQC-RSA protocols. Both security...
Dataset Distillation for Quantum Neural Networks
Koustubh Phalak, Junde Li, Swaroop Ghosh·Mar 23, 2025
Training Quantum Neural Networks (QNNs) on large amount of classical data can be both time consuming as well as expensive. Higher amount of training data would require higher number of gradient descent steps to reach convergence. This, in turn would ...
Approximate Quantum Error Correction with 1D Log-Depth Circuits
Guoding Liu, Zhenyu Du, Zi-Wen Liu +1 more·Mar 22, 2025
Efficient and high-performance quantum error correction is essential for achieving fault-tolerant quantum computing. Low-depth random circuits offer a promising approach to identifying effective and practical encoding strategies. In this work, we rig...
Efficient implementation of randomized quantum algorithms with dynamic circuits
Shutaroh Kanno, Ikko Hamamura, Rudy Raymond +2 more·Mar 22, 2025
Randomized algorithms are crucial subroutines in quantum computing, but the requirement to execute many types of circuits on a real quantum device has been challenging to their extensive implementation. In this study, we propose an engineering method...
A quantum gradient descent algorithm for optimizing Gaussian Process models
Junpeng Hu, Jinglai Li, Lei Zhang +1 more·Mar 22, 2025
Gaussian Process Regression (GPR) is a nonparametric supervised learning method, widely valued for its ability to quantify uncertainty. Despite its advantages and broad applications, classical GPR implementations face significant scalability challeng...
Photoluminescent colour centres on a mainstream silicon photonic foundry platform
Prosper Dellah, A. Aadhi, Amirhossein Mosaddegh +5 more·Mar 22, 2025
The fabrication of silicon photonic components in commercial CMOS-compatible foundries has revolutionized the impact of silicon photonics on advancing communication, quantum computing and artificial intelligence, due to their benefits of mass product...
Lanczos-Pascal approach to correlation functions in chaotic quantum systems
Merlin Füllgraf, Jiaozi Wang, Robin Steinigeweg +1 more·Mar 21, 2025
We suggest a method to compute approximations to temporal correlation functions of few-body observables in chaotic many-body systems in the thermodynamic limit based on the respective Lanczos coefficients. Given the knowledge of these Lanczos coeffic...
Limitations in Parallel Ising Machine Networks: Theory and Practice
Matthew X. Burns, Michael C. Huang·Mar 21, 2025
Analog Ising machines (IMs) occupy an increasingly prominent area of computer architecture research, offering high-quality and low latency/energy solutions to intractable computing tasks. However, IMs have a fixed capacity, with little to no utility ...
Fundamental limits on determination of photon number statistics from measurements with multiplexed on/off detectors
Jaromír Fiurášek·Mar 21, 2025
We investigate fundamental bounds on the ability to determine photon number distribution and other related quantities from tomographically incomplete measurements with an array of M detectors that can only distinguish the absence or presence of photo...
Criteria for unbiased estimation: applications to noise-agnostic sensing and learnability of quantum channel
Hyukgun Kwon, Kento Tsubouchi, Chia-Tung Chu +1 more·Mar 21, 2025
We establish the necessary and sufficient conditions for unbiased estimation in multi-parameter estimation tasks. More specifically, we first consider quantum state estimation, where multiple parameters are encoded in a quantum state, and derive simp...
Quantum geometric tensors from sub-bundle geometry
Marius A. Oancea, Thomas B. Mieling, Giandomenico Palumbo·Mar 21, 2025
The geometric properties of quantum states are crucial for understanding many physical phenomena in quantum mechanics, condensed matter physics, and optics. The central object describing these properties is the quantum geometric tensor, which unifies...
QITE: Assembly-Level, Cross-Platform Testing of Quantum Computing Platforms
Matteo Paltenghi, Michael Pradel·Mar 21, 2025
Quantum computing platforms are susceptible to quantum-specific bugs (e.g., incorrect ordering of qubits or incorrect implementation of quantum abstractions), which are difficult to detect and require specialized expertise. The field faces challenges...
Dual-type dual-element atom arrays for quantum information processing
Zhanchuan Zhang, Jeth Arunseangroj, Wenchao Xu·Mar 21, 2025
Neutral-atom arrays are a leading platform for quantum technologies, offering a promising route toward large-scale, fault-tolerant quantum computing. We propose a novel quantum processing architecture based on dual-type, dual-element atom arrays, whe...
On the Importance of Error Mitigation for Quantum Computation
D. Aharonov, O. Alberton, I. Arad +13 more·Mar 21, 2025
Quantum error mitigation (EM) is a family of hybrid quantum-classical methods for eliminating or reducing the effect of noise and decoherence on quantum algorithms run on quantum hardware, without applying quantum error correction (EC). While EM has ...
Recoil-induced errors and their correction in photon-mediated entanglement between atom qubits
Jan Apol'in, D. P. Nadlinger·Mar 21, 2025
Photonically-interconnected matter qubit systems have wide-ranging applications across quantum science and technology, with entanglement between distant qubits serving as a universal resource. While state-of-the-art heralded entanglement generation p...
Parallel splitting method for large-scale quadratic programs
Matteo Vandelli, Francesco Ferrari, Daniele Dragoni·Mar 21, 2025
Current algorithms for large-scale industrial optimization problems typically face a trade-off: they either require exponential time to reach optimal solutions, or employ problem-specific heuristics. To overcome these limitations, we introduce SPLIT,...
On Quantum Perceptron Learning via Quantum Search
Xiaoyu Sun, Mathieu Roget, G. Molfetta +1 more·Mar 21, 2025
With the growing interest in quantum machine learning, the perceptron -- a fundamental building block in traditional machine learning -- has emerged as a valuable model for exploring quantum advantages. Two quantum perceptron algorithms based on Grov...
Tensor Cross Interpolation of Purities in Quantum Many-Body Systems
Dmytro Kolisnyk, R. Medina, Romain Vasseur +1 more·Mar 21, 2025
A defining feature of quantum many-body systems is the exponential scaling of the Hilbert space with the number of degrees of freedom. This exponential complexity na\"ively renders a complete state characterization, for instance via the complete set ...
Emission photon statistics in collectively interacting dipole atom arrays in the low-intensity limit
Deepak A. Suresh, F. Robicheaux·Mar 20, 2025
We investigate the photon statistics of light emitted from a system of collectively interacting dipoles in the low-intensity regime, incorporating double-excitation states to capture beyond-single-excitation effects. By analyzing the eigenstates of t...