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Daily Quantum Computing Research & News • October 09, 2025 • 04:19 CST

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📊 Today's Data Collection

News items: 15 articles gathered
Technology papers: 10 papers fetched
Company papers: 8 papers from major players
Highlighted papers: 5 papers collected
Total sources: 5 data feeds processed

📰 News Items

📄 Technology Papers

Spin quantum computing, spin quantum cognition

Betony Adams, Francesco PetruccionePublished: 2025-10-08
Over two decades ago, Bruce Kane proposed that spin-half phosphorus nuclei embedded in a spin-zero silicon substrate could serve as a viable platform for spin-based quantum computing. These nuclear spins exhibit remarkably long coherence times, making them ideal candidates for qubits. Despite this advantage, practical realisation of spin quantum computing remains a challenge. More recently, physic...

Accelerating Inference for Multilayer Neural Networks with Quantum Computers

Arthur G. Rattew, Po-Wei Huang, Naixu Guo, Lirandë Pira, Patrick RebentrostPublished: 2025-10-08
Fault-tolerant Quantum Processing Units (QPUs) promise to deliver exponential speed-ups in select computational tasks, yet their integration into modern deep learning pipelines remains unclear. In this work, we take a step towards bridging this gap by presenting the first fully-coherent quantum implementation of a multilayer neural network with non-linear activation functions. Our constructions mi...

Nonlinear photonic architecture for fault-tolerant quantum computing

Maike Ostmann, Joshua Nunn, Alex E. JonesPublished: 2025-10-08
We propose a novel architecture for fault-tolerant quantum computing that incorporates strong single-photon nonlinearities into a photonic GHZ-measurement-based architecture. The nonlinearities substantially reduce resource overheads compared to conventional linear-optics-based architectures, which require significant redundancy to accommodate probabilistic photon generation and probabilistic enta...

Quantum Computing Methods for Malware Detection

Eliška Krátká, Aurél Gábor GábrisPublished: 2025-10-08
In this paper, we explore the potential of quantum computing in enhancing malware detection through the application of Quantum Machine Learning (QML). Our main objective is to investigate the performance of the Quantum Support Vector Machine (QSVM) algorithm compared to SVM. A publicly available dataset containing raw binaries of Portable Executable (PE) files was used for the classification. The ...

Continuous measurement-based holonomic quantum computation

Anirudh Lanka, Juan Garcia-Nila, Todd A. BrunPublished: 2025-10-08
We propose a scheme to generate holonomies using the Quantum Zeno effect, enabling logical unitary operations on quantum stabilizer codes purely through measurements. The quantum error-correcting code space is adiabatically rotated by measuring a succession of rotated stabilizer generators. When the rotation is sufficiently slow, the state remains confined to the instantaneous code space by the Ze...

Blind quantum computing with different qudit resource state architectures

Alena Romanova, Wolfgang DürPublished: 2025-10-07
We discuss how blind quantum computing generalizes to multi-level quantum systems (qudits), which offers advantages compared to the qubit approach. Here, a quantum computing task is delegated to an untrusted server while simultaneously preventing the server from retrieving information about the computation it performs, the input, and the output, enabling secure cloud-based quantum computing. In th...

Anchor: Reducing Temporal and Spatial Output Performance Variability on Quantum Computers

Yuqian Huo, Daniel Leeds, Jason Ludmir, Nicholas S. DiBrita, Tirthak PatelPublished: 2025-10-07
Quantum computing, which has the power to accelerate many computing applications, is currently a technology under development. As a result, the existing noisy intermediate-scale quantum (NISQ) computers suffer from different hardware noise effects, which cause errors in the output of quantum programs. These errors cause a high degree of variability in the performance (i.e., output fidelity) of qua...

Hybrid Sequential Quantum Computing

Pranav Chandarana, Sebastián V. Romero, Alejandro Gomez Cadavid, Anton Simen, Enrique Solano, Narendra N. HegadePublished: 2025-10-07
We introduce hybrid sequential quantum computing (HSQC), a paradigm for combinatorial optimization that systematically integrates classical and quantum methods within a structured, stage-wise workflow. HSQC may involve an arbitrary sequence of classical and quantum processes, as long as the global result outperforms the standalone components. Our testbed begins with classical optimizers to explore...

Low Overhead Universal Quantum Computation with Triorthogonal Codes

Dawei Jiao, Mahdi Bayanifar, Alexei Ashikhmin, Olav TirkkonenPublished: 2025-10-07
We explore the use of triorthogonal codes for universal fault-tolerant quantum computation and propose two methods to circumvent the Eastin-Knill theorem, which prohibits any single quantum error-correcting code from supporting both universality and a transversal gate set. First, we simplify the implementation of the logical Hadamard gate for triorthogonal codes by exploiting the fact that they ha...

Invested and Potential Magic Resources in Measurement-Based Quantum Computation

Gongchu Li, Lei Chen, Si-Qi Zhang, Xu-Song Hong, Huaqing Xu, Yuancheng Liu, You Zhou, Geng Chen, Chuan-Feng Li, Alioscia Hamma, Guang-Can GuoPublished: 2024-08-04
Magic states and magic gates are crucial for achieving universal quantum computation, but important questions about how magic resources should be implemented to attain maximal quantum advantage have remained unexplored, especially in the context of measurement-based quantum computation (MQC). This work bridges the gap between MQC and the resource theory of magic by introducing the key concepts of ...

🏢 Company Papers

Advanced mirror shapes for mode enhancement in plano-concave cavities

William James Hughes, Peter HorakPublished: 2025-10-08
Optical cavities are frequently used in quantum technologies to enhance light matter interactions, with applications including single photon generation and entanglement of distant emitters. The Fabry-P\'{e}rot resonator is a popular choice for its high optical access and large emitter-mirror separation. A typical configuration, particularly for emitters that should not be placed close to the mirro...

Entangling remote qubits through a two-mode squeezed reservoir

A. Andrés-Juanes, J. Agustí, R. Sett, E. S. Redchenko, L. Kapoor, S. Hawaldar, P. Rabl, J. M. FinkPublished: 2025-10-08
The distribution of entanglement across distant qubits is a central challenge for the operation of scalable quantum computers and large-scale quantum networks. Existing approaches rely on deterministic state transfer schemes or probabilistic protocols that require active control or measurement and postselection. Here we demonstrate an alternative, fully autonomous process, where two remote qubits ...

SQuaD: Smart Quantum Detection for Photon Recognition and Dark Count Elimination

Karl C. Linne, Sho Uemura, Yue Ji, Andrew Karmen, Allen Zang, Martin Di Federico, Orlando Quaranta, Gustavo Cancelo, Tian ZhongPublished: 2025-09-29
Quantum detectors of single photons are an essential component for quantum information processing across computing, communication and networking. Today's quantum detection system, which consists of single photon detectors, timing electronics, control and data processing software, is primarily used for counting the number of single photon detection events. However, it is largely incapable of extrac...

BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation for Large Language Models via Lens of Dynamic Interactions

Nan Huo, Xiaohan Xu, Jinyang Li, Per Jacobsson, Shipei Lin, Bowen Qin, Binyuan Hui, Xiaolong Li, Ge Qu, Shuzheng Si, Linheng Han, Edward Alexander, Xintong Zhu, Rui Qin, Ruihan Yu, Yiyao Jin, Feige Zhou, Weihao Zhong, Yun Chen, Hongyu Liu, Chenhao Ma, Fatma Ozcan, Yannis Papakonstantinou, Reynold ChengPublished: 2025-10-06
Large language models (LLMs) have demonstrated remarkable performance on single-turn text-to-SQL tasks, but real-world database applications predominantly require multi-turn interactions to handle ambiguous queries, execution errors, and evolving user requirements. Existing multi-turn benchmarks fall short by treating conversation histories as static context or limiting evaluation to read-only ope...

An HPC-Inspired Blueprint for a Technology-Agnostic Quantum Middle Layer

Stefano Markidis, Gilbert Netzer, Luca Pennati, Ivy PengPublished: 2025-10-08
We present a blueprint for a quantum middle layer that supports applications across various quantum technologies. Inspired by concepts and abstractions from HPC libraries and middleware, our design is backend-neutral and context-aware. A program only needs to specify its intent once as typed data and operator descriptors. It declares what the quantum registers mean and which logical transformation...

Physics-Informed Optimisation of Conveyor Mode Spin Qubit Transport

Andrii Sokolov, Conor Power, Elena BlokhinaPublished: 2025-10-08
Scalable quantum information processing in spin-based architectures necessitates the a bility to reliably shuttle quantum states across extended device regions with minimal decoherence. In this work, we present a physics-informed algorithm for optimizing electrostatic bias equences that enable conveyor-mode electron transport in silicon-based quantum dot devices. Our approach combines self-consist...

Textual interpretation of transient image classifications from large language models

Fiorenzo Stoppa, Turan Bulmus, Steven Bloemen, Stephen J. Smartt, Paul J. Groot, Paul Vreeswijk, Ken W. SmithPublished: 2025-10-08
Modern astronomical surveys deliver immense volumes of transient detections, yet distinguishing real astrophysical signals (for example, explosive events) from bogus imaging artefacts remains a challenge. Convolutional neural networks are effectively used for real versus bogus classification; however, their reliance on opaque latent representations hinders interpretability. Here we show that large...

Enhancing Few-shot Keyword Spotting Performance through Pre-Trained Self-supervised Speech Models

Alican Gok, Oguzhan Buyuksolak, Osman Erman Okman, Murat SaraclarPublished: 2025-06-21
Keyword Spotting plays a critical role in enabling hands-free interaction for battery-powered edge devices. Few-Shot Keyword Spotting (FS-KWS) addresses the scalability and adaptability challenges of traditional systems by enabling recognition of custom keywords with only a few examples. However, existing FS-KWS systems achieve subpar accuracy at desirable false acceptance rates, particularly in r...

📚 Highlighted Papers

Quantum enhanced Monte Carlo simulation for photon interaction cross sections

Authors: Euimin Lee, Sangmin Lee, Shiho KimSubmitted: Submitted arXiv: arXiv:2502.14374
Abstract: …as the dominant attenuation mechanism, we demonstrate that our approach reproduces classical probability distributions with high fidelity. Simulation results obtained via the IBM Qiskit quantum simulator reveal a quadratic speedup in amplitude estimation compared to conventional Monte C...

Time-adaptive single-shot crosstalk detector on superconducting quantum computer

Authors: Haiyue Kang, Benjamin Harper, Muhammad Usman, Martin SeviorSubmitted: Submitted arXiv: arXiv:2502.14225
Abstract: …in two scenarios: simulation using an artificial noise model with gate-induced crosstalk and always-on idlings channels; and the simulation using noise sampled from an IBM quantum computer parametrised by the reduced HSA error model. The presented results show our method's efficacy hing...

Quantum simulation of a qubit with non-Hermitian Hamiltonian

Authors: Anastashia Jebraeilli, Michael R. GellerSubmitted: Submitted arXiv: arXiv:2502.13910
Abstract: …-broken regime surrounding an exceptional point. Quantum simulations are carried out using IBM superconducting qubits. The results underscore the potential for variational quantum circuits and machine learning to push the boundaries of quantum simulation, offering new methods for explor...

Comment on "Energy-speed relationship of quantum particles challenges Bohmian mechanics"

Aurélien Drezet, Dustin Lazarovici, Bernard Michael Nabet
In their recent paper [Nature 643, 67 (2025)], Sharaglazova et al. report an optical microcavity experiment yielding an "energy-speed relationship" for quantum particles in evanescent states, which they infer from the observed population transfer between two coupled waveguides. The authors argue tha...