Papers
Divide et impera: hybrid multinomial classifiers from quantum binary models
Simone Roncallo, Angela Rosy Morgillo, Seth Lloyd +2 more·Apr 9, 2026
We investigate how to combine a collection of quantum binary models into a multinomial classifier. We employ a hybrid approach, adopting strategies like one-vs-one, one-vs-rest and a binary decision tree. We benchmark each method, by emphasizing thei...
Orthogonalised Self-Guided Quantum Tomography: Insights from Single-Pixel Imaging
Kiki Dekkers, Alice Ruget, Fazilah Nothlawala +6 more·Apr 9, 2026
We introduce the concept of self-guided imaging (SGI) as a linear analogue of self-guided quantum tomography (SGQT). We show that SGI is mathematically equivalent to single-pixel imaging (SPI). Taking inspiration from orthogonalised ghost imaging, a ...
Local Marking of Locally Implementable Unitary Operations
Adil Imam, Satyaki Manna·Apr 9, 2026
We investigate the task of local marking for locally implementable unitary operations. In this setting, multipartite quantum unitary channels, chosen randomly from a known set, are distributed among spatially separated parties without revealing their...
Fixing semi-classical physics from first principles: how to derive effective classical-quantum dynamics from open quantum theory
Isaac Layton·Apr 9, 2026
Semi-classical approaches approximate fully quantum descriptions with partially classical ones. Here we use a toy model to highlight the failings of the standard mean-field semi-classical approach, and show how including environmental decoherence can...
Harnessing dark states: coherent control in coupled cavity-Rydberg-atom systems
Ying-Zhi Li, Xuan Zhao, Le-Man Kuang +1 more·Apr 9, 2026
The dark-state effect, caused by destructive interference, not only is an important fundamental research topic in atomic physics and quantum optics, but also has wide potential application in quantum physics and quantum information science. Using the...
Leading low-temperature correction to the Heisenberg-Euler Lagrangian
Felix Karbstein·Apr 9, 2026
In this note, we show that the well-known leading low-temperature correction to the Heisenberg-Euler Lagrangian in a constant electromagnetic field arising at two loops can be efficiently extracted from its one-loop zero-temperature analogue. Resorti...
Belief Propagation Convergence Prediction for Bivariate Bicycle Quantum Error Correction Codes
Anton Pakhunov·Apr 9, 2026
Decoding Bivariate Bicycle (BB) quantum error correction codes typically requires Belief Propagation (BP) followed by Ordered Statistics Decoding (OSD) post-processing when BP fails to converge. Whether BP will converge on a given syndrome is current...
Simultaneous ground-state cooling of six mechanical modes of two levitated nanoparticles
Qian Zhang, Yi Xu, Jie-Qiao Liao·Apr 9, 2026
Ground-state cooling is a prerequisite for exploring macroscopic quantum effects in mechanical motion of massive objects. Here we construct a polarization-angle-controllable coupled cavity-levitated-nanoparticle system in which two nanoparticles trap...
Quantum Property Testing for Bounded-Degree Directed Graphs
Pan Peng, Jingyu Wu·Apr 9, 2026
We study quantum property testing for directed graphs with maximum in-degree and out-degree bounded by some universal constant $d$. For a proximity parameter $\varepsilon$, we show that any property that can be tested with $O_{\varepsilon,d}(1)$ quer...
Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning
Ryo Suzuki, Shohei Watabe·Apr 9, 2026
Efficient ground state search is fundamental to advancing combinatorial optimization problems and quantum chemistry. While the Variational Imaginary Time Evolution (VITE) method offers a useful alternative to Variational Quantum Eigensolver (VQE), an...
Informational Mpemba Effect for Fast State Purification in Non-Hermitian System
C. G. Feyisa, Huan-YuKu, J. -S. You +1 more·Apr 9, 2026
Quantum systems are inherently fragile to environmental fluctuations or decoherence, limiting their advantages in applications of quantum information and quantum computation. State purification offers a route to recover the purity of system under noi...
A Review of Variational Quantum Algorithms: Insights into Fault-Tolerant Quantum Computing
Zhirao Wang, Junxiang Huang, Runyu Ye +8 more·Apr 9, 2026
Variational quantum algorithms (VQAs) have established themselves as a central computational paradigm in the Noisy Intermediate-Scale Quantum (NISQ) era. By coupling parameterized quantum circuits (PQCs) with classical optimization, they operate effe...
Non-variational supervised quantum kernel methods: a review
John Tanner, Chon-Fai Kam, Jingbo Wang·Apr 9, 2026
Quantum kernel methods (QKMs) have emerged as a prominent framework for supervised quantum machine learning. Unlike variational quantum algorithms, which rely on gradient-based optimisation and may suffer from issues such as barren plateaus, non-vari...
Quantum Thermal Field Effect Transistor
Abhijeet Kumar, Soniya Malik, P. Arumugam·Apr 9, 2026
We propose and analyse a quantum thermal field-effect transistor (qtFET) composed of left-qubit, middle-qutrit, and right-qubit subsystems. In this architecture, the left qubit is coupled to the middle qutrit, which in turn interacts with the right q...
Hybrid Quantum--Classical k-Means Clustering via Quantum Feature Maps
Syed M. Abdullah, Alisha Baba, Muhammad Siddique +1 more·Apr 9, 2026
Clustering is one of the most fundamental tasks in machine learning, and the k-means clustering algorithm is perhaps one of the most widely used clustering algorithms. However, it suffers from several limitations, such as sensitivity to centroid init...
Fast and Coherent Transfer of Atomic Qubits in Optical Tweezers using Fiber Array Architecture
Jia-Chao Wang, Zai-Zheng Zhang, Xiao Li +4 more·Apr 9, 2026
Programmable neutral-atom arrays offer a promising route toward scalable quantum computing, where coherent qubit transfer enables non-local connectivity and reduces resource overhead. However, transfer speed and motional heating remain key bottleneck...
Hardware-Aware Quantum Support Vector Machines
Adil Mubashir Chaudhry, Ali Raza Haider, Hanzla Khan +1 more·Apr 9, 2026
Deploying quantum machine learning algorithms on near-term quantum hardware requires circuits that respect device-specific gate sets, connectivity constraints, and noise characteristics. We present a hardware-aware Neural Architecture Search (NAS) ap...
Analysis of State Teleportation using Noisy Quantum Gates
Imama Tul Birrah Khan, Muhammad Faryad·Apr 9, 2026
Noise is a major challenge in quantum computing, affecting the reliability of quantum protocols. In this work, we analytically study the impact of various noise processes, such as depolarization, bit flip, and phase flip, on the quantum state telepor...
Quantum Simulation of Hyperbolic Equations and the Nonexistence of a Dirac Path Measure
Sumita Datta·Apr 9, 2026
We revisit the longstanding issue of why no well defined probability measure exists corresponding to a classical (Kolmogorov) path integral representation of the Dirac equation in Minkowski space. Two complementary perspectives are compared: (i) Zast...
Optimal noisy quantum phase estimation with finite-dimensional states
Jin-Feng Qin, Jing Liu·Apr 9, 2026
Phase estimation in quantum interferometry is a major scenario where the quantum advantage is significantly revealed. Recently, the optimal finite-dimensional probe states (OFPSs) for phase estimation in two-mode quantum interferometry have been prov...