📊 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 He • Published: 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-Hernández • Published: 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 Goto • Published: 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 Sufian • Published: 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 Cetina • Published: 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 Shapira • Published: 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 Yu • Published: 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 Yang • Published: 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 Schulz • Published: 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-Zaczek • Published: 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 Kondo • Published: 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 Matias • Published: 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. Brun • Published: 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 Zhang • Published: 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 Pupillo • Published: 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 Acín • Published: 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. Lyu • Published: 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 Sousa • Published: 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 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...