📊 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
−Cryo-CMOS Antenna for Wireless Communications within a Quantum Computer Cryostat
Viviana Centritto, Ama Bandara, Heqi Deng, Masoud Babaie, Evgenii Vinogradov, Sergi Abadal, Eduard Alarcon • Published: 2025-10-15
Scaling quantum computers from a few qubits to large numbers remains one of
the critical challenges in realizing practical quantum advantage. Multi-core
quantum architectures have emerged as a promising solution, enabling
scalability through distributed quantum processing units (QPUs) interconnected
via classical and quantum links. However, the bottleneck of wired connections
persists, as densely ...
Emergent Discrete Time Crystals on Digital Quantum Computers: Boundary-Protected and Ancilla-Induced Disorder Mechanisms of Thermalization Slowdown
Kazuya Shinjo, Kazuhiro Seki, Seiji Yunoki • Published: 2025-10-15
Periodically driven (Floquet) systems typically evolve toward an
infinite-temperature thermal state due to continuous energy absorption. Before
reaching equilibrium, however, they can transiently exhibit long-lived
prethermal states that host exotic nonequilibrium phenomena, such as discrete
time crystals (DTCs). In this study, we investigate the relaxation dynamics of
periodically driven product ...
State-Specific Orbital Optimization for Enhanced Excited-States Calculation on Quantum Computers
Guorui Zhu, Joel Bierman, Jianfeng Lu, Yingzhou Li • Published: 2025-10-15
We propose a state-specific orbital optimization scheme for improving the
accuracy of excited states of the electronic structure Hamiltonian for the use
on near-term quantum computers, which can be combined with any overlap-based
excited-state quantum eigensolver. We derived the gradient of the overlap term
between different states generated by different orbitals with respect to the
orbital rotati...
Lattice surgery with Bell measurements: Modular fault-tolerant quantum computation at low entanglement cost
Trond Hjerpekjøn Haug, Timo Hillmann, Anton Frisk Kockum, Raphaël Van Laer • Published: 2025-10-15
Modular architectures are a promising approach to scaling quantum computers
to fault tolerance. Small, low-noise quantum processors connected through
relatively noisy quantum links are capable of fault-tolerant operation as long
as the noise can be confined to the interface. Finding protocols that implement
the quantum links between modules as efficiently as possible is essential
because inter-mod...
Performance Comparison of Gate-Based and Adiabatic Quantum Computing for Power Flow Analysis
Zeynab Kaseb, Matthias Moller, Peter Palensky, Pedro P. Vergara • Published: 2025-10-15
In this paper, we present the first direct comparison between gate-based
quantum computing (GQC) and adiabatic quantum computing (AQC) for solving the
AC power flow (PF) equations. Building on the Adiabatic Quantum Power Flow
(AQPF) algorithm originally designed for annealing platforms, we adapt it to
the Quantum Approximate Optimization Algorithm (QAOA). The PF equations are
reformulated as a com...
A low-circuit-depth quantum computing approach to the nuclear shell model
Chandan Sarma, Paul Stevenson • Published: 2025-10-02
In this work, we introduce a new qubit mapping strategy for the Variational
Quantum Eigensolver (VQE) applied to nuclear shell model calculations, where
each Slater determinant (SD) is mapped to a qubit, rather than assigning qubits
to individual single-particle states. While this approach may increase the
total number of qubits required in some cases, it enables the construction of
simpler quantu...
Privacy-Aware Framework of Robust Malware Detection in Indoor Robots: Hybrid Quantum Computing and Deep Neural Networks
Tan Le, Van Le, Sachin Shetty • Published: 2025-10-15
Indoor robotic systems within Cyber-Physical Systems (CPS) are increasingly
exposed to Denial of Service (DoS) attacks that compromise localization,
control and telemetry integrity. We propose a privacy-aware malware detection
framework for indoor robotic systems, which leverages hybrid quantum computing
and deep neural networks to counter DoS threats in CPS, while preserving
privacy information. ...
Trajectory-Protected Quantum Computing
Barbara Šoda, Pierre-Antoine Graham, T. Rick Perche, Gurpahul Singh • Published: 2025-10-14
We introduce a novel method that simultaneously isolates a quantum computer
from decoherence and enables the controlled implementation of computational
gates. We demonstrate a quantum computing model that utilizes a qubit's motion
to protect it from decoherence. We model a qubit interacting with a quantum
field via the standard light-matter interaction model: an Unruh-DeWitt
detector, i.e., the qu...
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...
On the Potential of Quantum Computing in Classical Program Analysis
Yicheng Guang, Pietro Zanotta, Kai Zhou, Yueqi Chen, Ramin Ayanzadeh • Published: 2025-10-13
Classical program analysis techniques, such as abstract interpretation and
symbolic execution, are essential for ensuring software correctness, optimizing
performance, and enabling compiler optimizations. However, these techniques
face computational limitations when analyzing programs with large or
exponential state spaces, limiting their effectiveness in ensuring system
reliability. Quantum compu...
🏢 Company Papers
−Digitized Counterdiabatic Quantum Feature Extraction
Anton Simen, Carlos Flores-Garrigós, Murilo Henrique De Oliveira, Gabriel Dario Alvarado Barrios, Alejandro Gomez Cadavid, Archismita Dalal, Enrique Solano, Narendra N. Hegade, Qi Zhang • Published: 2025-10-15
We introduce a Hamiltonian-based quantum feature extraction method that
generates complex features via the dynamics of $k$-local many-body spins
Hamiltonians, enhancing machine learning performance. Classical feature vectors
are embedded into spin-glass Hamiltonians, where both single-variable
contributions and higher-order correlations are represented through many-body
interactions. By evolving t...
Aligning Large Language Models to Low-Resource Languages through LLM-Based Selective Translation: A Systematic Study
Rakesh Paul, Anusha Kamath, Kanishk Singla, Raviraj Joshi, Utkarsh Vaidya, Sanjay Singh Chauhan, Niranjan Wartikar • Published: 2025-07-18
Multilingual large language models (LLMs) often demonstrate a performance gap
between English and non-English languages, particularly in low-resource
settings. Aligning these models to low-resource languages is essential yet
challenging due to limited high-quality data. While English alignment datasets
are readily available, curating equivalent data in other languages is expensive
and time-consumi...
InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy
Xinyi Chen, Yilun Chen, Yanwei Fu, Ning Gao, Jiaya Jia, Weiyang Jin, Hao Li, Yao Mu, Jiangmiao Pang, Yu Qiao, Yang Tian, Bin Wang, Bolun Wang, Fangjing Wang, Hanqing Wang, Tai Wang, Ziqin Wang, Xueyuan Wei, Chao Wu, Shuai Yang, Jinhui Ye, Junqiu Yu, Jia Zeng, Jingjing Zhang, Jinyu Zhang, Shi Zhang, Feng Zheng, Bowen Zhou, Yangkun Zhu • Published: 2025-10-15
We introduce InternVLA-M1, a unified framework for spatial grounding and
robot control that advances instruction-following robots toward scalable,
general-purpose intelligence. Its core idea is spatially guided
vision-language-action training, where spatial grounding serves as the critical
link between instructions and robot actions. InternVLA-M1 employs a two-stage
pipeline: (i) spatial grounding...
Reduced constant-cost implementations of Clifford operations using global interactions
Jonathan Nemirovsky, Lee Peleg, Amit Ben Kish, Yotam Shapira • Published: 2025-10-15
We investigate quantum circuits built from arbitrary single-qubit operations
combined with programmable all-to-all multiqubit entangling gates that are
native to, among other systems, trapped-ion quantum computing platforms. We
report a constant-cost of no more than 6 application of such Clifford
entangling multiqubit gates to realize any sequence of Clifford operations of
any length, without anci...
A Complete Pipeline for deploying SNNs with Synaptic Delays on Loihi 2
Balázs Mészáros, James C. Knight, Jonathan Timcheck, Thomas Nowotny • Published: 2025-10-15
Spiking Neural Networks are attracting increased attention as a more
energy-efficient alternative to traditional Artificial Neural Networks for edge
computing. Neuromorphic computing can significantly reduce energy requirements.
Here, we present a complete pipeline: efficient event-based training of SNNs
with synaptic delays on GPUs and deployment on Intel's Loihi 2 neuromorphic
chip. We evaluate ...
Spin Readout in a 22 nm Node Integrated Circuit
Isobel C. Clarke, Virginia Ciriano-Tejel, David J. Ibberson, Grayson M. Noah, Thomas H. Swift, Mark A. I. Johnson, Ross C. C. Leon, Alberto Gomez-Saiz, John J. L. Morton, M. Fernando Gonzalez-Zalba • Published: 2025-10-15
Constructing a quantum computer capable of broad and important applications
is likely to require millions of addressable physical qubits, posing the
challenge of large-scale integration of quantum systems with classical
electronics. Fully depleted silicon-on-insulator CMOS technology has been used
to develop a range of cryogenic electronic components for the control and
readout of different qubit ...
Effectiveness of the syndrome extraction circuit with flag qubits on IBM quantum hardware
Younghun Kim, Hansol Kim, Jeongsoo Kang, Wonjae Choi, Younghun Kwon • Published: 2024-03-15
Large scale quantum circuits are required to exploit the advantages of
quantum computers. Despite significant advancements in quantum hardware,
scalability remains a challenge, with errors accumulating as more qubits and
gates are added. To overcome this limitation, quantum error-correction codes
have been introduced. Although the success of quantum error correction codes
has been demonstrated on ...
Multivariate Time Series Forecasting with Gate-Based Quantum Reservoir Computing on NISQ Hardware
Wissal Hamhoum, Soumaya Cherkaoui, Jean-Frederic Laprade, Ola Ahmed, Shengrui Wang • Published: 2025-10-15
Quantum reservoir computing (QRC) offers a hardware-friendly approach to
temporal learning, yet most studies target univariate signals and overlook
near-term hardware constraints. This work introduces a gate-based QRC for
multivariate time series (MTS-QRC) that pairs injection and memory qubits and
uses a Trotterized nearest-neighbor transverse-field Ising evolution optimized
for current device co...
📚 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...