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Daily Quantum Computing Research & News • October 16, 2025 • 04:19 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

Cryo-CMOS Antenna for Wireless Communications within a Quantum Computer Cryostat

Viviana Centritto, Ama Bandara, Heqi Deng, Masoud Babaie, Evgenii Vinogradov, Sergi Abadal, Eduard AlarconPublished: 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 YunokiPublished: 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 LiPublished: 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 LaerPublished: 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. VergaraPublished: 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 StevensonPublished: 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 ShettyPublished: 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 SinghPublished: 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 BarataPublished: 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 AyanzadehPublished: 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 ZhangPublished: 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 WartikarPublished: 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 ZhuPublished: 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 ShapiraPublished: 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 NowotnyPublished: 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-ZalbaPublished: 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 KwonPublished: 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 WangPublished: 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 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...