📊 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
−Enhanced Fault-tolerance in Photonic Quantum Computing: Comparing the Honeycomb Floquet Code and the Surface Code in Tailored Architecture
Théo Dessertaine, Boris Bourdoncle, Aurélie Denys, Grégoire de Gliniasty, Pierre Colonna d'Istria, Gerard Valentí-Rojas, Shane Mansfield, Paul Hilaire • Published: 2024-10-09
Fault-tolerant quantum computing is crucial for realizing large-scale quantum
computation, and the interplay between hardware architecture and quantum
error-correcting codes is a key consideration. We present a comparative study
of two quantum error-correcting codes - the surface code and the honeycomb
Floquet code - implemented on the spin-optical quantum computing architecture,
either with contr...
Minimally Universal Parity Quantum Computing
Isaac D. Smith, Berend Klaver, Hendrik Poulsen Nautrup, Wolfgang Lechner, Hans J. Briegel • Published: 2025-04-04
In parity quantum computing, multi-qubit logical gates are implemented by
single-qubit rotations on a suitably encoded state involving auxiliary qubits.
Consequently, there is a correspondence between qubit count and the size of the
native gate set. One might then wonder: what is the smallest number of
auxiliary qubits that still allows for universal parity computing? Here, we
demonstrate that the...
Time-tronics: from temporal printed circuit board to quantum computer
Krzysztof Giergiel, Peter Hannaford, Krzysztof Sacha • Published: 2024-06-10
Time crystalline structures can be created in periodically driven systems.
They are temporal lattices which can reveal different condensed matter
behaviours ranging from Anderson localization in time to temporal analogues of
many-body localization or topological insulators. However, the potential
practical applications of time crystalline structures have yet to be explored.
Here, we pave the way f...
Quantum Computational Insurance and Actuarial Science
Huan-Yu Liu, Xi-Ning Zhuang, Chao Wang, Qing-Song Li, Meng-Han Dou, Zhao-Yun Chen, Cheng Xue, Yu-Chun Wu, Guo-Ping Guo, Guang-Can Guo • Published: 2024-10-28
In recent years, quantum computation has been rapidly advancing, driving a
technological revolution with significant potential across various sectors,
particularly in finance. Despite this, the insurance industry, an essential
tool for mitigating unforeseen risks and losses, has received limited
attention. This paper provides an initial exploration into the realm of quantum
computational insurance...
Lightweight Targeted Estimation of Layout Noise in a Quantum Computer using Quality Indicator Circuits
Shikhar Srivastava, Ritajit Majumdar, Padmanabha Venkatagiri Seshadri, Anupama Ray, Yogesh Simmhan • Published: 2025-09-23
In the current era of quantum computing, minimizing noise is essential for
reliably executing quantum circuits on hardware. A key factor affecting circuit
performance is the mapping of the abstract quantum circuit to the physical
layout of the quantum hardware. This mapping can significantly influence output
quality, especially since hardware noise profiles are non-uniform and dynamic.
Existing so...
Connecting Quantum Computing with Classical Stochastic Simulation
Jose Blanchet, Mark S. Squillante, Mario Szegedy, Guanyang Wang • Published: 2025-09-23
This tutorial paper introduces quantum approaches to Monte Carlo computation
with applications in computational finance. We outline the basics of quantum
computing using Grover's algorithm for unstructured search to build intuition.
We then move slowly to amplitude estimation problems and applications to
counting and Monte Carlo integration, again using Grover-type iterations. A
hands-on Python/Qi...
A Quantum Computational Determination of the Weak Mixing Angle in the Standard Model
Qiaofeng Liu, Ian Low, Zhewei Yin • Published: 2025-09-22
The weak mixing angle $s_W$ is a fundamental constant in the Standard Model
(SM) and measured at the $Z$ boson mass to be $\widehat{s}^2_W(m_Z) = 0.23129
\pm 0.00004$ in the $\overline{\rm MS}$ renormalization scheme, where
$m_Z=91.2\ \text{GeV}$. On the other hand, non-stabilizerness - the magic -
characterizes the computational advantage of a quantum system over classical
computers. We consider ...
TASI/CERN/KITP Lecture Notes on "Toward Quantum Computing Gauge Theories of Nature"
Zohreh Davoudi • Published: 2025-07-21
A hallmark of the computational campaign in nuclear and particle physics is
the lattice-gauge-theory program. It continues to enable theoretical
predictions for a range of phenomena in nature from the underlying Standard
Model. The emergence of a new computational paradigm based on quantum
computing, therefore, can introduce further advances in this program. In
particular, it is believed that quan...
Enhanced fill probability estimates in institutional algorithmic bond trading using statistical learning algorithms with quantum computers
Axel Ciceri, Austin Cottrell, Joshua Freeland, Daniel Fry, Hirotoshi Hirai, Philip Intallura, Hwajung Kang, Chee-Kong Lee, Abhijit Mitra, Kentaro Ohno, Das Pemmaraju, Manuel Proissl, Brian Quanz, Del Rajan, Noriaki Shimada, Kavitha Yograj • Published: 2025-09-22
The estimation of fill probabilities for trade orders represents a key
ingredient in the optimization of algorithmic trading strategies. It is bound
by the complex dynamics of financial markets with inherent uncertainties, and
the limitations of models aiming to learn from multivariate financial time
series that often exhibit stochastic properties with hidden temporal patterns.
In this paper, we f...
Parton Distributions on a Quantum Computer
Jiunn-Wei Chen, Yu-Ting Chen, Ghanashyam Meher • Published: 2025-06-20
We perform the first quantum computation of parton distribution function
(PDF) with a real quantum device by calculating the PDF of the lightest
positronium in the Schwinger model with IBM quantum computers. The calculation
uses 10 qubits for staggered fermions at five spatial sites and one ancillary
qubit. The most critical and challenging step is to reduce the number of
two-qubit gate depths to ...
🏢 Company Papers
−Not All Qubits are Utilized Equally
Jeremie Pope, Swaroop Ghosh • Published: 2025-09-23
Improvements to the functionality of modern Noisy Intermediate-Scale Quantum
(NISQ) computers have coincided with an increase in the total number of
physical qubits. Quantum programmers do not commonly design circuits that
directly utilize these qubits; instead, they rely on various software suites to
algorithmically transpile the circuit into one compatible with a target
machine's architecture. F...
Gate-Based and Annealing-Based Quantum Algorithms for the Maximum K-Plex Problem
Xiaofan Li, Gao Cong, Rui Zhou • Published: 2025-09-23
The $ k $-plex model, which allows each vertex to miss connections with up to
$ k $ neighbors, serves as a relaxation of the clique. Its adaptability makes
it more suitable for analyzing real-world graphs where noise and imperfect data
are common and the ideal clique model is often impractical. The problem of
identifying the maximum $ k $-plex (MKP, which is NP-hard) is gaining attention
in fields...
Confidential LLM Inference: Performance and Cost Across CPU and GPU TEEs
Marcin Chrapek, Marcin Copik, Etienne Mettaz, Torsten Hoefler • Published: 2025-09-23
Large Language Models (LLMs) are increasingly deployed on converged Cloud and
High-Performance Computing (HPC) infrastructure. However, as LLMs handle
confidential inputs and are fine-tuned on costly, proprietary datasets, their
heightened security requirements slow adoption in privacy-sensitive sectors
such as healthcare and finance. We investigate methods to address this gap and
propose Trusted ...
WaveFormer: A Lightweight Transformer Model for sEMG-based Gesture Recognition
Yanlong Chen, Mattia Orlandi, Pierangelo Maria Rapa, Simone Benatti, Luca Benini, Yawei Li • Published: 2025-06-12
Human-machine interaction, particularly in prosthetic and robotic control,
has seen progress with gesture recognition via surface electromyographic (sEMG)
signals.However, classifying similar gestures that produce nearly identical
muscle signals remains a challenge, often reducing classification accuracy.
Traditional deep learning models for sEMG gesture recognition are large and
computationally e...
The inside-out quenching of the MHONGOOSE galaxy NGC 1371
S. Veronese, W. J. G. de Blok, F. Fraternali, F. M. Maccagni, J. Healy, D. Kleiner, T. A. Oosterloo, R. Morganti • Published: 2025-09-23
We present the deepest 21-cm spectral line and 1.4 GHz broad-band continuum
observations of nearby early-type spiral galaxy NGC 1371 as part of the MeerKAT
HI Observations of Nearby Galactic Objects: Observing Southern Emitters
(MHONGOOSE) survey. We found the neutral atomic hydrogen (HI) mostly
distributed in a regularly rotating disc with a hole $\sim5$ kpc wide around
the galactic centre. The c...
Content and Quality Analysis of mHealth Apps for Feeding Children with Autism Spectrum Disorder
Christopher Cofie Kuzagbe, Fabrice Mukarage, Skye Nandi Adams, N'guessan Yves-Roland Douha, Edith Talina Luhanga • Published: 2025-09-23
Background: Approximately 1 in 100 children worldwide are diagnosed with
Autism Spectrum Disorder (ASD), and 46% to 89% experience significant feeding
difficulties. Mobile health applications (mHealth apps) have emerged as a
potential tool for scalable support. However, their quality and relevance in
managing ASD-related feeding challenges remain unclear.
Objective: To identify and evaluate the ...
Lightweight Targeted Estimation of Layout Noise in a Quantum Computer using Quality Indicator Circuits
Shikhar Srivastava, Ritajit Majumdar, Padmanabha Venkatagiri Seshadri, Anupama Ray, Yogesh Simmhan • Published: 2025-09-23
In the current era of quantum computing, minimizing noise is essential for
reliably executing quantum circuits on hardware. A key factor affecting circuit
performance is the mapping of the abstract quantum circuit to the physical
layout of the quantum hardware. This mapping can significantly influence output
quality, especially since hardware noise profiles are non-uniform and dynamic.
Existing so...
Assessing the operating characteristics of an ion-milled phonon-mediated quantum parity detector
Brandon J. Sandoval, Andrew D. Beyer, Pierre M. Echternach, Sunil R. Golwala, William D. Ho, Lanqing Yuan, Karthik Ramanathan • Published: 2025-09-23
Phonon sensitive superconducting qubits promise to provide sub-eV energy
deposit thresholds, useful for future rare-event experiments looking for
interactions from dark matter and neutrinos. We detail here engineering results
from a Quantum Parity Detector (QPDs), one of a class of phonon sensitive
qubits, and, as a first measurement, show that this device has a quiescent
quasiparticle density of ...
📚 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: …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 Car...
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: …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 hinges...
Quantum simulation of a qubit with non-Hermitian Hamiltonian
Authors: Anastashia Jebraeilli, Michael R. Geller • Submitted: 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 explorin...
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...