📊 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
−Symmetric quantum computation
Davi Castro-Silva, Tom Gur, Sergii Strelchuk • Published: 2025-01-02
We introduce a systematic study of "symmetric quantum circuits", a new
restricted model of quantum computation that preserves the symmetries of the
problems it solves. This model is well-adapted for studying the role of
symmetry in quantum speedups, extending a central notion of symmetric
computation studied in the classical setting.
Our results establish that symmetric quantum circuits are fund...
Quantum Computing as a Service - a Software Engineering Perspective
Aakash Ahmad, Muhammad Waseem, Bakheet Aljedaani, Mahdi Fahmideh, Peng Liang, Feras Awaysheh • Published: 2025-10-06
Quantum systems have started to emerge as a disruptive technology and
enabling platforms - exploiting the principles of quantum mechanics via
programmable quantum bits (QuBits) - to achieve quantum supremacy in computing.
Academic research, industrial projects (e.g., Amazon Braket, IBM Qiskit), and
consortiums like 'Quantum Flagship' are striving to develop practically capable
and commercially via...
Leveraging Analog Neutral Atom Quantum Computers for Diversified Pricing in Hybrid Column Generation Frameworks
Cédrick Perron, Yves Bérubé-Lauzière, Victor Drouin-Touchette • Published: 2025-10-06
In this work, we develop new pulse designs and embedding strategies to
improve the analog quantum subroutines of hybrid column generation (CG)
algorithms based on neutral-atoms quantum computers (NAQCs). These strategies
are designed to improve the quality and diversity of the samples generated. We
apply these to an important combinatorial optimization (CO) problem in
logistics, namely the fleet a...
What is a good use case for quantum computers?
Michael Marthaler, Peter Pinski, Vladimir Rybkin, Iris Schwenk, Pascal Stadler, Marina Walt • Published: 2025-06-18
Identify, Transform, Benchmark, Show Quantum Advantage (ITBQ): Evaluating use
cases for quantum computers. We introduce a four-step framework for assessing
quantum computing applications -- from identifying relevant industry problems
to demonstrating quantum advantage -- addressing steps often overlooked in the
literature, such as rigorous benchmarking against classical solutions and the
challenge...
Quantum computing for heavy-ion physics: near-term status and future prospects
João Barata • Published: 2025-10-05
We discuss recent advances in applying Quantum Information Science to
problems in high-energy nuclear physics. After outlining key developments, open
challenges, and emerging connections between these disciplines, we highlight
recent results on the study of matter states, hard probes, and spin
correlations using novel quantum technologies. This work summarizes the
corresponding presentation delive...
Plugging Leaks in Fault-Tolerant Quantum Computation and Verification
Theodoros Kapourniotis, Dominik Leichtle, Luka Music, Harold Ollivier • Published: 2025-10-03
With the advent of quantum cloud computing, the security of delegated quantum
computation has become of utmost importance. While multiple statistically
secure blind verification schemes in the prepare-and-send model have been
proposed, none of them achieves full quantum fault-tolerance, a prerequisite
for useful verification on scalable quantum computers. In this paper, we
present the first fault-...
MAQCY: Modular Atom-Array Quantum Computing with Space-Time Hybrid Multiplexing
Andrew Byun, Chanseul Lee, Eunsik Yoon, Minhyuk KimMinhyuk Kim, Tai Hyun Yoon • Published: 2025-10-03
We present a modular atom-array quantum computing architecture with
space-time hybrid multiplexing (MAQCY), a dynamic optical tweezer-based
protocol for fully connected and scalable universal quantum computation. By
extending the concept of globally controlled static dual-species Rydberg atom
wires [1], we develop an entirely new approach using Q-Pairs, which consist of
globally controlled and tem...
A Quantum Computer Based on Donor-Cluster Arrays in Silicon
Shihang Zhang, Chunhui Zhang, Guanyong Wang, Tao Xin, Guangchong Hu, Yu He, Peihao Huang • Published: 2025-09-29
Significant advances in silicon spin qubits highlight the potential of
silicon quantum dots for scalable quantum computing, given their compatibility
with industrial fabrication and long coherence times. In particular, phosphorus
(P)-doped spin qubits possess excellent coherence and have demonstrated
high-fidelity two-qubit gates exceeding 99.9%. However, scaling P-donor systems
is challenging due...
Any type of spectroscopy can be efficiently simulated on a quantum computer
Liam P. Flew, Ivan Kassal • Published: 2025-10-03
Spectroscopy is the most important method for probing the structure of
molecules. However, predicting molecular spectra on classical computers is
computationally expensive, with the most accurate methods having a cost that
grows exponentially with molecule size. Quantum computers have been shown to
simulate simple types of optical spectroscopy efficiently -- with a cost
polynomial in molecule size...
Reproducible Builds for Quantum Computing
Iyán Méndez Veiga, Esther Hänggi • Published: 2025-10-02
Reproducible builds are a set of software development practices that
establish an independently verifiable path from source code to binary
artifacts, helping to detect and mitigate certain classes of supply chain
attacks. Although quantum computing is a rapidly evolving field of research, it
can already benefit from adopting reproducible builds. This paper aims to
bridge the gap between the quantu...
🏢 Company Papers
−Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization
Omri Uzan, Asaf Yehudai, Roi pony, Eyal Shnarch, Ariel Gera • Published: 2025-10-06
Multimodal encoders have pushed the boundaries of visual document retrieval,
matching textual query tokens directly to image patches and achieving
state-of-the-art performance on public benchmarks. Recent models relying on
this paradigm have massively scaled the sizes of their query and document
representations, presenting obstacles to deployment and scalability in
real-world pipelines. Furthermor...
What your brain activity says about you: A review of neuropsychiatric disorders identified in resting-state and sleep EEG data
J. E. M. Scanlon, A. Pelzer, M. Gharleghi, K. C. Fuhrmeister, T. Köllmer, P. Aichroth, R. Göder, C. Hansen, K. I. Wolf • Published: 2025-10-06
Electroencephalogram monitoring devices and online data repositories hold
large amounts of data from individuals participating in research and medical
studies without direct reference to personal identifiers. This paper explores
what types of personal and health information have been detected and classified
within task-free EEG data. Additionally, we investigate key characteristics of
the collecte...
Quantum Computing as a Service - a Software Engineering Perspective
Aakash Ahmad, Muhammad Waseem, Bakheet Aljedaani, Mahdi Fahmideh, Peng Liang, Feras Awaysheh • Published: 2025-10-06
Quantum systems have started to emerge as a disruptive technology and
enabling platforms - exploiting the principles of quantum mechanics via
programmable quantum bits (QuBits) - to achieve quantum supremacy in computing.
Academic research, industrial projects (e.g., Amazon Braket, IBM Qiskit), and
consortiums like 'Quantum Flagship' are striving to develop practically capable
and commercially via...
EHands: Quantum Protocol for Polynomial Computation on Real-Valued Encoded States
Jan Balewski, C. Pestano, Mercy G. Amankwah, E. Wes Bethel, Talita Perciano, Roel Van Beeumen • Published: 2025-02-21
We present EHands, a quantum-native protocol for implementing multivariable
polynomial transformations on quantum processors. The protocol introduces four
fundamental, reversible operators: multiplication, addition, negation, and
parity flip, and employs the Expectation Value ENcoding (EVEN) scheme to
represent real numbers as quantum states. Unlike discretization or binary
encoding methods, EHand...
Leveraging Analog Neutral Atom Quantum Computers for Diversified Pricing in Hybrid Column Generation Frameworks
Cédrick Perron, Yves Bérubé-Lauzière, Victor Drouin-Touchette • Published: 2025-10-06
In this work, we develop new pulse designs and embedding strategies to
improve the analog quantum subroutines of hybrid column generation (CG)
algorithms based on neutral-atoms quantum computers (NAQCs). These strategies
are designed to improve the quality and diversity of the samples generated. We
apply these to an important combinatorial optimization (CO) problem in
logistics, namely the fleet a...
MARS: Optimizing Dual-System Deep Research via Multi-Agent Reinforcement Learning
Guoxin Chen, Zile Qiao, Wenqing Wang, Donglei Yu, Xuanzhong Chen, Hao Sun, Minpeng Liao, Kai Fan, Yong Jiang, Penguin Xie, Wayne Xin Zhao, Ruihua Song, Fei Huang • Published: 2025-10-06
Large Reasoning Models (LRMs) often exhibit a tendency for overanalysis in
simple tasks, where the models excessively utilize System 2-type, deliberate
reasoning, leading to inefficient token generation. Furthermore, these models
face challenges in adapting their reasoning capabilities to rapidly changing
environments due to the static nature of their pretraining data. To address
these issues, adv...
Counterdiabatic driving at Rydberg excitation for symmetric $C_Z$ gates with ultracold neutral atoms
I. I. Beterov, K. V. Kozenko, P. Xu, I. I. Ryabtsev • Published: 2025-10-06
We extend the scheme of neutral atom Rydberg $C_Z$ gate based on double
sequence of adiabatic pulses applied symmetrically to both atoms using
counterdiabatic driving in the regime of Rydberg blockade. This provides
substantial reducing of quantum gate operation times (at least five times)
compared to previously proposed adiabatic schemes, which is important for
high-fidelity entanglement due to f...
Quantum Reservoir Computing for Credit Card Default Prediction on a Neutral Atom Platform
Giacomo Vitali, Chiara Vercellino, Paolo Viviani, Olivier Terzo, Bartolomeo Montrucchio, Valeria Zaffaroni, Francesca Cibrario, Christian Mattia, Giacomo Ranieri, Alessandro Sabatino, Francesco Bonazzi, Davide Corbelletto • Published: 2025-10-06
In this paper, we define and benchmark a hybrid quantum-classical machine
learning pipeline by performing a binary classification task applied to a
real-world financial use case. Specifically, we implement a Quantum Reservoir
Computing (QRC) layer within a classical routine that includes data
preprocessing and binary classification. The reservoir layer has been executed
on QuEra's Aquila, a 256-qu...
📚 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...