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Daily Quantum Computing Research & News • September 22, 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

Task-Oriented Gaussian Optimization for Non-Gaussian Resources in Continuous-Variable Quantum Computation

Boxuan Jing, Feng-Xiao Sun, Qiongyi HePublished: 2025-09-19
In continuous-variable systems, non-Gaussian resources are essential for achieving universal quantum computation that lies beyond classical simulation. Among the candidate states, the cubic phase state stands out as the simplest form of single-mode non-Gaussian resource, yet its experimental preparation still remains a great challenge. Although a variety of approximate schemes have been proposed t...

Discrete Flow-Based Generative Models for Measurement Optimization in Quantum Computing

Isaac L. Huidobro-Meezs, Jun Dai, Rodrigo A. Vargas-HernándezPublished: 2025-09-18
Achieving chemical accuracy in quantum simulations is often constrained by the measurement bottleneck: estimating operators requires a large number of shots, which remains costly even on fault-tolerant devices and is further exacerbated on today's noisy hardware by finite circuit fidelity and error-mitigation overhead. Addressing this challenge involves a multiobjective optimization problem that b...

Fault-tolerant quantum computing with a high-rate symplectic double code

Naoyuki Kanomata, Hayato GotoPublished: 2025-09-18
High-rate and large-distance quantum codes are expected to make fault-tolerant quantum computing more efficient, but most of them lack efficient fault-tolerant encoded-state preparation methods. We propose such a fault-tolerant encoder for a [[30, 6, 5]] symplectic double code. The advantage of this code is its compactness, in addition to its high encoding rate, allowing for early experimental rea...

Capturing the Page Curve and Entanglement Dynamics of Black Holes in Quantum Computers

Talal Ahmed Chowdhury, Kwangmin Yu, Muhammad Asaduzzaman, Raza Sabbir SufianPublished: 2024-12-19
Quantum computers are emerging technologies expected to become important tools for exploring various aspects of fundamental physics in the future. Therefore, we pose the question of whether quantum computers can help us to study the Page curve and the black hole information dynamics, which has been a key focus in fundamental physics. In this regard, we rigorously examine the qubit transport model,...

Quantum Computing Universal Thermalization Dynamics in a (2+1)D Lattice Gauge Theory

Niklas Mueller, Tianyi Wang, Or Katz, Zohreh Davoudi, Marko CetinaPublished: 2024-07-31
Simulating non-equilibrium phenomena in strongly-interacting quantum many-body systems, including thermalization, is a promising application of near-term and future quantum computation. By performing experiments on a digital quantum computer consisting of fully-connected optically-controlled trapped ions, we study the role of entanglement in the thermalization dynamics of a $Z_2$ lattice gauge the...

Full programmable quantum computing with trapped-ions using semi-global fields

Yakov Solomons, Yotam Kadish, Lee Peleg, Jonathan Nemirovsky, Amit Ben Kish, Yotam ShapiraPublished: 2025-09-17
Trapped-ion quantum computing can utilize all motional modes of the ion-crystal, to entangle multiple qubits simultaneously, enabling universal computation with multi-qubit gates supplemented by single-qubit rotations. Using multiple tones to drive each ion individually induces Ising-type interactions, forming a multi-qubit gate, where the coupling matrix of all ion pairs is fully controllable. Th...

Quantum Utility in Simulating the Real-time Dynamics of the Fermi-Hubbard Model using Superconducting Quantum Computers

Talal Ahmed Chowdhury, Vladimir Korepin, Vincent R. Pascuzzi, Kwangmin YuPublished: 2025-09-17
The Fermi-Hubbard model is a fundamental model in condensed matter physics that describes strongly correlated electrons. On the other hand, quantum computers are emerging as powerful tools for exploring the complex dynamics of these quantum many-body systems. In this work, we demonstrate the quantum simulation of the one-dimensional Fermi-Hubbard model using IBM's superconducting quantum computers...

Mitigating the sign problem by quantum computing

Kwai-Kong Ng, Min-Fong YangPublished: 2025-09-16
The notorious sign problem severely limits the applicability of quantum Monte Carlo (QMC) simulations, as statistical errors grow exponentially with system size and inverse temperature. A recent proposal of a quantum-computing stochastic series expansion (qc-SSE) method suggested that the problem could be avoided by introducing constant energy shifts into the Hamiltonian. Here we critically examin...

First Practical Experiences Integrating Quantum Computers with HPC Resources: A Case Study With a 20-qubit Superconducting Quantum Computer

Eric Mansfield, Stefan Seegerer, Panu Vesanen, Jorge Echavarria, Burak Mete, Muhammad Nufail Farooqi, Laura SchulzPublished: 2025-09-16
Incorporating Quantum Computers into High Performance Computing (HPC) environments (commonly referred to as HPC+QC integration) marks a pivotal step in advancing computational capabilities for scientific research. Here we report the integration of a superconducting 20-qubit quantum computer into the HPC infrastructure at Leibniz Supercomputing Centre (LRZ), one of the first practical implementatio...

Quantum Computing Tools for Fast Detection of Gravitational Waves in the Context of LISA Space Mission

Maria-Catalina Isfan, Laurentiu-Ioan Caramete, Ana Caramete, Daniel Tonoiu, Alexandru Nicolin-ZaczekPublished: 2025-09-16
The field of gravitational wave (GW) detection is progressing rapidly, with several next-generation observatories on the horizon, including LISA. GW data is challenging to analyze due to highly variable signals shaped by source properties and the presence of complex noise. These factors emphasize the need for robust, advanced analysis tools. In this context, we have initiated the development of a ...

🏢 Company Papers

Quantum Reinforcement Learning with Dynamic-Circuit Qubit Reuse and Grover-Based Trajectory Optimization

Thet Htar Su, Shaswot Shresthamali, Masaaki KondoPublished: 2025-09-19
A fully quantum reinforcement learning framework is developed that integrates a quantum Markov decision process, dynamic circuit-based qubit reuse, and Grover's algorithm for trajectory optimization. The framework encodes states, actions, rewards, and transitions entirely within the quantum domain, enabling parallel exploration of state-action sequences through superposition and eliminating classi...

Towards an AI-Augmented Textbook

LearnLM Team, Google, :, Alicia Martín, Amir Globerson, Amy Wang, Anirudh Shekhawat, Anna Iurchenko, Anisha Choudhury, Avinatan Hassidim, Ayça Çakmakli, Ayelet Shasha Evron, Charlie Yang, Courtney Heldreth, Diana Akrong, Gal Elidan, Hairong Mu, Ian Li, Ido Cohen, Katherine Chou, Komal Singh, Lev Borovoi, Lidan Hackmon, Lior Belinsky, Michael Fink, Niv Efron, Preeti Singh, Rena Levitt, Shashank Agarwal, Shay Sharon, Tracey Lee-Joe, Xiaohong Hao, Yael Gold-Zamir, Yael Haramaty, Yishay Mor, Yoav Bar Sinai, Yossi MatiasPublished: 2025-09-13
Textbooks are a cornerstone of education, but they have a fundamental limitation: they are a one-size-fits-all medium. Any new material or alternative representation requires arduous human effort, so that textbooks cannot be adapted in a scalable manner. We present an approach for transforming and augmenting textbooks using generative AI, adding layers of multiple representations and personalizati...

A heat-resilient hole spin qubit in silicon

V. Champain, G. Boschetto, H. Niebojewski, B. Bertrand, L. Mauro, M. Bassi, V. Schmitt, X. Jehl, S. Zihlmann, R. Maurand, Y. -M. Niquet, C. B. Winkelmann, S. De Franceschi, B. Martinez, B. BrunPublished: 2025-09-19
Recent advances in scaling up spin-based quantum processors have revealed unanticipated issues related to thermal effects. Microwave pulses required to manipulate and read the qubits are found to overheat the spins environment, which unexpectedly induces Larmor frequency shifts, reducing thereby gate fidelities. In this study, we shine light on these elusive thermal effects, by experimentally char...

Learning to Optimize Capacity Planning in Semiconductor Manufacturing

Philipp Andelfinger, Jieyi Bi, Qiuyu Zhu, Jianan Zhou, Bo Zhang, Fei Fei Zhang, Chew Wye Chan, Boon Ping Gan, Wentong Cai, Jie ZhangPublished: 2025-09-19
In manufacturing, capacity planning is the process of allocating production resources in accordance with variable demand. The current industry practice in semiconductor manufacturing typically applies heuristic rules to prioritize actions, such as future change lists that account for incoming machine and recipe dedications. However, while offering interpretability, heuristics cannot easily account...

Quantum Error Correction resilient against Atom Loss

Hugo Perrin, Sven Jandura, Guido PupilloPublished: 2024-12-10
We investigate quantum error correction protocols for neutral atoms quantum processors in the presence of atom loss. We complement the surface code with loss detection units (LDU) and analyze its performances by means of circuit-level simulations for two distinct protocols -- the standard LDU and a teleportation-based LDU --, focussing on the impact of both atom loss and depolarizing noise on the ...

Hamiltonian learning via quantum Zeno effect

Giacomo Franceschetto, Egle Pagliaro, Luciano Pereira, Leonardo Zambrano, Antonio AcínPublished: 2025-09-19
Determining the Hamiltonian of a quantum system is essential for understanding its dynamics and validating its behavior. Hamiltonian learning provides a data-driven approach to reconstruct the generator of the dynamics from measurements on the evolved system. Among its applications, it is particularly important for benchmarking and characterizing quantum hardware, such as quantum computers and sim...

Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases

Jen-tse Huang, Yuhang Yan, Linqi Liu, Yixin Wan, Wenxuan Wang, Kai-Wei Chang, Michael R. LyuPublished: 2025-02-09
Recent failures such as Google Gemini generating people of color in Nazi-era uniforms illustrate how AI outputs can be factually plausible yet socially harmful. AI models are increasingly evaluated for "fairness," yet existing benchmarks often conflate two fundamentally different dimensions: factual correctness and normative fairness. A model may generate responses that are factually accurate but ...

Nonequilibrium Quasiparticles in Superconducting Circuits: Energy Relaxation, Charge and Flux Noise

José Alberto Nava Aquino, Rogério de SousaPublished: 2024-07-30
The quasiparticle density observed in low-temperature superconducting circuits is several orders of magnitude larger than the value expected at thermal equilibrium. The tunneling of this excess of quasiparticles across Josephson junctions is recognized as one of the main loss and decoherence mechanisms in superconducting qubits. Here, we present a unified impedance theory that accounts for quasipa...

📚 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...