📊 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 Petruccione • Published: 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 Rebentrost • Published: 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. Jones • Published: 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 Gábris • Published: 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. Brun • Published: 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 Dür • Published: 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 Patel • Published: 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. Hegade • Published: 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 Tirkkonen • Published: 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 Guo • Published: 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 Horak • Published: 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. Fink • Published: 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 Zhong • Published: 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 Cheng • Published: 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 Peng • Published: 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 Blokhina • Published: 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. Smith • Published: 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 Saraclar • Published: 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 Kim • Submitted: Submitted • arXiv: arXiv:2502.14374
Abstract: â¦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 Sevior • Submitted: Submitted • arXiv: arXiv:2502.14225
Abstract: â¦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. Geller • Submitted: Submitted • arXiv: arXiv:2502.13910
Abstract: â¦-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...