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Daily Quantum Computing Research & News • October 10, 2025 • 04:18 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

Equivalence of continuous- and discrete-variable gate-based quantum computers with finite energy

Alex Maltesson, Ludvig Rodung, Niklas Budinger, Giulia Ferrini, Cameron CalcluthPublished: 2025-10-09
We examine the ability of gate-based continuous-variable quantum computers to outperform qubit or discrete-variable quantum computers. Gate-based continuous-variable operations refer to operations constructed using a polynomial sequence of elementary gates from a specific finite set, i.e., those selected from the set of Gaussian operations and cubic phase gates. Our results show that for a fixed e...

On the role of coherence for quantum computational advantage

Hugo Thomas, Pierre-Emmanuel Emeriau, Rawad Mezher, Elham Kashefi, Harold Ollivier, Ulysse ChabaudPublished: 2024-10-09
Quantifying the resources available to a quantum computer appears to be necessary to separate quantum from classical computation. Among them, entanglement, nonstabilizerness and coherence are arguably of great significance. We introduce path coherence as a measure of the coherent paths interferences arising in a quantum computation. Leveraging the sum-over-paths formalism, we obtain a classical al...

Photonic Quantum Computing

Jacquiline Romero, Gerard MilburnPublished: 2024-04-04
Photonic quantum computation refers to quantum computation that uses photons as the physical system for doing the quantum computation. The field is largely divided between discrete-variable (DV) and continuous-variable (CV) photonic quantum computation. In the former, quantum information is represented by one or more modal properties (e.g. polarisation) that take on distinct values from a finite s...

Polyhedral Classical Simulators for Quantum Computation

Cihan OkayPublished: 2025-10-08
Quantum advantage in computation refers to the existence of computational tasks that can be performed efficiently on a quantum computer but cannot be efficiently simulated on any classical computer. Identifying the precise boundary of efficient classical simulability is a central challenge and motivates the development of new simulation paradigms. In this paper, we introduce polyhedral classical s...

On Quantum Computation Using Bias-Preserving Gates

Debadrito Roy, Aryaman Manish Kolhe, V. Lalitha, Navin KashyapPublished: 2025-10-08
Certain types of quantum computing platforms, such as those realized using Rydberg atoms or Kerr-cat qubits, are natively more susceptible to Pauli-Z noise than Pauli-X noise, or vice versa. On such hardware, it is useful to ensure that computations use only gates that maintain the Z-bias (or X-bias) in the noise. This is so that quantum error-correcting codes tailored for biased-noise models can ...

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...

A Hardware-Efficient Mølmer-Sørensen Gate for Superconducting Quantum Computers

M. AbuGhanemPublished: 2025-10-08
The M{\o}lmer-S{\o}rensen gate, a cornerstone entangling operation in trapped-ion systems, represents a promising alternative to standard entangling gates in superconducting quantum architectures. However, its performance on superconducting hardware has remained unverified. In this work, we present a hardware-efficient implementation of the M{\o}lmer-S{\o}rensen gate and characterize its performan...

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 ...

🏢 Company Papers

Language Model Embeddings Can Be Sufficient for Bayesian Optimization

Tung Nguyen, Qiuyi Zhang, Bangding Yang, Chansoo Lee, Jorg Bornschein, Yingjie Miao, Sagi Perel, Yutian Chen, Xingyou SongPublished: 2024-10-14
Bayesian Optimization is ubiquitous in experimental design and black-box optimization for improving search efficiency. However, most existing approaches rely on regression models which are limited to fixed search spaces and structured, tabular input features. This paper explores the use of LLM embeddings over string inputs for in-context regression in Bayesian Optimization. Our results show that r...

Active-Learning Inspired $\textit{Ab Initio}$ Theory-Experiment Loop Approach for Management of Material Defects: Application to Superconducting Qubits

Sarvesh Chaudhari, Cristóbal Méndez, Rushil Choudhary, Tathagata Banerjee, Maciej W. Olszewski, Jadrien T. Paustian, Jaehong Choi, Zhaslan Baraissov, Raul Hernandez, David A. Muller, B. L. T. Plourde, Gregory D. Fuchs, Valla Fatemi, Tomás A. AriasPublished: 2025-10-02
Surface oxides are associated with two-level systems (TLSs) that degrade the performance of niobium-based superconducting quantum computing devices. To address this, we introduce a predictive framework for selecting metal capping layers that inhibit niobium oxide formation. Using DFT-calculated oxygen interstitial and vacancy energies as thermodynamic descriptors, we train a logistic regression mo...

MOLLId: software for automatic identification of spectral molecular lines in the sub-millimeter and millimeter bands and its application to the spectra of protostars from the region RCW 120

A. A. Farafontova, M. S. Kirsanova, S. V. SaliiPublished: 2025-10-09
In this work, we present the program MOLLId (MOLecular Line Identification) for automated molecular lines approximation with gaussian profile. Molecular identification was performed using multi-level comparison of the lines' center frequencies and rest frequencies from the spectroscopic database. The program was tested using identification of the molecular lines in observational spectra of young s...

Systematic Assessment of Cache Timing Vulnerabilities on RISC-V Processors

Cédrick Austa, Jan Tobias Mühlberg, Jean-Michel DricotPublished: 2025-10-09
While interest in the open RISC-V instruction set architecture is growing, tools to assess the security of concrete processor implementations are lacking. There are dedicated tools and benchmarks for common microarchitectural side-channel vulnerabilities for popular processor families such as Intel x86-64 or ARM, but not for RISC-V. In this paper we describe our efforts in porting an Intel x86-64 ...

Characterizing Liouvillian Exceptional Points Through Newton Polygons and Tropical Geometry

Sayooj P, Awadhesh NarayanPublished: 2025-10-09
The dynamics of open quantum systems described by the Lindblad master equation follows according to non-Hermitian operators. As a result, such systems can host non-Hermitian degeneracies called Liouvillian exceptional points (EPs). In this work, we show that Newton polygons and tropical geometric approach allow identification and characterization of Liouvillian EPs. We use two models -- dissipativ...

Lifetimes and Transition Probabilities in $N = 76 ^{130}Xe$

D. Kumar, S. Basak, A. Pal, D. Banerjee, S. S. Alam, S. Rajbanshi, T. BhattacharjeePublished: 2025-09-01
Lifetimes for the ${4}_1^+$ and ${6}_1^+$ states have been directly measured using $\gamma-\gamma$ fast timing technique for low lying states of $^{130}Xe$, populated from $\beta ^-$ decay of the parent $^{130}I$ produced through $^{nat}U(\alpha,f)$ reaction at $E_{\alpha}~=~40~MeV$. VENTURE array comprising of eight fast CeBr$_3$ detectors is used for lifetime measurement. The reduced transition ...

Language Models Do Not Embed Numbers Continuously

Alex O. Davies, Roussel Nzoyem, Nirav Ajmeri, Telmo M. Silva FilhoPublished: 2025-10-09
Recent research has extensively studied how large language models manipulate integers in specific arithmetic tasks, and on a more fundamental level, how they represent numeric values. These previous works have found that language model embeddings can be used to reconstruct the original values, however, they do not evaluate whether language models actually model continuous values as continuous. Usi...

Stress-Testing Model Specs Reveals Character Differences among Language Models

Jifan Zhang, Henry Sleight, Andi Peng, John Schulman, Esin DurmusPublished: 2025-10-09
Large language models (LLMs) are increasingly trained from AI constitutions and model specifications that establish behavioral guidelines and ethical principles. However, these specifications face critical challenges, including internal conflicts between principles and insufficient coverage of nuanced scenarios. We present a systematic methodology for stress-testing model character specifications,...

📚 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...