📊 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 Calcluth • Published: 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 Chabaud • Published: 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 Milburn • Published: 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 Okay • Published: 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 Kashyap • Published: 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 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...
A Hardware-Efficient Mølmer-Sørensen Gate for Superconducting Quantum Computers
M. AbuGhanem • Published: 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. 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 ...
🏢 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 Song • Published: 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. Arias • Published: 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. Salii • Published: 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 Dricot • Published: 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 Narayan • Published: 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. Bhattacharjee • Published: 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 Filho • Published: 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 Durmus • Published: 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 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...