Papers
Quantum inference on a classically trained quantum extreme learning machine
Emanuele Brusaschi, Marco Clementi, Marco Liscidini +3 more·Mar 20, 2026
Quantum extreme learning machines (QELMs) are unconventional computing architectures that bear remarkable promise in both classical and quantum machine-learning tasks, such as the estimate of quantum state properties. However, the probabilistic natur...
A single programmable photonic circuit for universal quantum measurements
Wen-Zhe Yan, Lan-Tian Feng, Zhibo Hou +7 more·Mar 20, 2026
Programmable photonic quantum processors face a critical challenge: despite significant advances in quantum state preparation and manipulation, measurements remain limited to projective techniques. Here, we demonstrate a programmable measurement proc...
Linear-optical generation of hybrid GKP entanglement from small-amplitude cat states
Shohei Kiryu, Yohji Chin, Masahiro Takeoka +1 more·Mar 20, 2026
Hybrid bosonic codes combining bosonic codes with photon states offer a promising pathway for fault-tolerant quantum computation. However, the efficient generation of such states in optical setups remains technically challenging due to the requiremen...
Ellipticity-Controlled Bright-Dark Coherence Transition in Monolayer WSe2
Kang Lan, Xiangji Cai, Zhongxiao Man +4 more·Mar 20, 2026
The generation of exciton valley coherence typically requires linearly polarized (LP) light as an external coherent drive, whereas circularly polarized (CP) light fails to induce coherence. Here, we develop a unified, microscopically-grounded open-qu...
Quantum Advantage: a Tensor Network Perspective
Augustine Kshetrimayum, Saeed S. Jahromi, Sukhbinder Singh +1 more·Mar 19, 2026
We review the recent quantum advantage experiments by IBM, D-Wave, and Google, focusing on cases where efficient classical simulations of the experiment were demonstrated or attempted using tensor network methods. We assess the strengths and limitati...
Quantum Kinetics of Fast-Electron Inelastic Collisions in Partially-Ionized Plasmas
Yeongsun Lee, Pavel Aleynikov, Jong-Kyu Park·Mar 19, 2026
Fast electrons in partially ionized plasmas lose energy through inelastic collisions with bound electrons. While the mean energy loss is well described by stopping-power theory, fluctuations associated with discrete excitation and ionization events p...
End-to-End QGAN-Based Image Synthesis via Neural Noise Encoding and Intensity Calibration
Xue Yang, Rigui Zhou, Shizheng Jia +5 more·Mar 19, 2026
Quantum Generative Adversarial Networks (QGANs) offer a promising path for learning data distributions on near-term quantum devices. However, existing QGANs for image synthesis avoid direct full-image generation, relying on classical post-processing ...
Inhomogeneous mass trap for dark-state polaritons in atomic media
Ding-An Chen, Kai-You Huang, Chun-Yen Hsu +3 more·Mar 19, 2026
The generation of a trapping potential for dark-state polaritons in a two-dimensional electromagnetically induced transparency system is theoretically studied. We show that such a trap can arise from a spatially inhomogeneous effective mass of the da...
Multi-Outcome Circuit Optimization for Enhanced Non-Gaussian State Generation
S. Ismailzadeh, B. Abedi Ravan·Mar 18, 2026
Photonic quantum computing has gained significant interest in recent years due to its potential for scaling to large numbers of qubits. A critical requirement for fault-tolerant quantum computation is the reliable generation of non-Gaussian quantum s...
Preprocessing noise in finite-size quantum key distribution
Gabriele Staffieri, Giuseppe D'Ambruoso, Giovanni Scala +1 more·Mar 18, 2026
It is known that preprocessing noise may boost quantum key distribution by expanding the range of values of tolerated noise. For BB84, adding trusted noise may allow the generation of secret keys even for qubit error rate (QBER) beyond the 11% thresh...
The Convergence Frontier: Integrating Machine Learning and High Performance Quantum Computing for Next-Generation Drug Discovery
Narjes Ansari, César Feniou, Nicolaï Gouraud +13 more·Mar 18, 2026
Integrating quantum mechanics into drug discovery marks a decisive shift from empirical trial-and-error toward quantitative precision. However, the prohibitive cost of ab initio molecular dynamics has historically forced a compromise between chemical...
Generation of many-body Bell correlations with short-range interactions in analog and digital quantum simulators
Marcin Płodzień, Jan Chwedeńczuk·Mar 17, 2026
The dynamical generation of quantum resources, such as many-body entanglement or Bell correlations, can be achieved via one-axis twisting (OAT) dynamics, which require all-to-all couplings. However, current digital and analog quantum simulation platf...
Secure Quantum Communication: Simulation and Analysis of Quantum Key Distribution Protocols
Mahendra Rasay, Emmanuel D. Sebastian, Subhash Prasad Sah +2 more·Mar 17, 2026
Quantum computing poses significant threats to conventional cryptographic techniques such as RSA and AES, motivating the need for quantum secure communication methods. Quantum Key Distribution (QKD) offers information theoretic security based on fund...
An Energetic Constraint for Qubit-Qubit Entanglement
Kiarn T. Laverick, Samyak P. Prasad, Pascale Senellart +2 more·Mar 17, 2026
We analyze qubit-qubit entanglement from an energetic perspective and reveal an energetic trade-off between quantum coherence and entanglement. We decompose each qubit internal energy into a coherent and an incoherent component. The qubits' coherent ...
Generative AI for Quantum Circuits and Quantum Code: A Technical Review and Taxonomy
Juhani Merilehto·Mar 17, 2026
We review thirteen generative systems and five supporting datasets for quantum circuit and quantum code generation, identified through a structured scoping review of Hugging Face, arXiv, and provenance tracing (January-February 2026). We organize the...
Monolithic Segmented 3D Ion Trap for Quantum Technology Applications
Abhishek Menon, Michael Straus, George Tomaras +12 more·Mar 17, 2026
Monolithic three-dimensional (3D) Paul traps combine the high-precision microfabrication of two-dimensional (2D) chip traps with the deep trapping potentials and low heating rates characteristic of macroscopic 3D Paul traps, which are typically machi...
QiboAgent: a practitioner's guideline to open source assistants for Quantum Computing code development
Lorenzo Esposito, Andrea Papaluca, Stefano Carrazza·Mar 16, 2026
We introduce QiboAgent, a reference implementation designed to serve as a practitioner's guideline for developing specialized coding assistants in Quantum Computing middleware. Addressing the limitations in scientific software development of general-...
Autonomous quantum heat engine
Tuomas Uusnäkki, Miika Rasola, Vasilii Vadimov +3 more·Mar 16, 2026
Quantum heat engines provide attractive means in quantum thermodynamics for studying the fundamentals of the flow of heat and work. Previous experimental implementations of heat engines operating at the level of a few excitation quanta have utilized ...
Complementarity-Preserving Generative Theory for Multimodal ECG Synthesis: A Quantum-Inspired Approach
Timothy Oladunni, Farouk Ganiyu-Adewumi, Clyde Baidoo +1 more·Mar 16, 2026
Multimodal deep learning has substantially improved electrocardiogram (ECG) classification by jointly leveraging time, frequency, and time-frequency representations. However, existing generative models typically synthesize these modalities independen...
Cavity-Free Distributed Quantum Computing with Rydberg Ensembles via Collective Enhancement
Aman Ullah·Mar 16, 2026
A complete architecture for cavity-free quantum networking based on collective enhancement in Rydberg atom ensembles is presented. The protocol exploits Rydberg blockade and phase-matched directional emission to eliminate optical cavities without sac...