🚀 QuantumBoom

Daily Quantum Computing Research & News • September 29, 2025 • 04:19 CST

Join the QuantumBoom Digest

Never miss out the next quantum breakthrough.

📊 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

Edge modes, extended TQFT, and measurement based quantum computation

Gabriel WongPublished: 2023-12-01
Quantum teleportation can be used to define a notion of parallel transport which characterizes the entanglement structure of a quantum state \cite{Czech:2018kvg}. This suggests one can formulate a gauge theory of entanglement. In \cite{Wong:2022mnv}, it was explained that measurement based quantum computation in one dimension can be understood in term of such a gauge theory (MBQC). In this work, w...

Solving Free Fermion Problems on a Quantum Computer

Maarten Stroeks, Daan Lenterman, Barbara Terhal, Yaroslav HerasymenkoPublished: 2024-09-06
Simulating noninteracting fermion systems is a common task in computational many-body physics. In absence of translational symmetries, modeling free fermions on $N$ modes usually requires poly$(N)$ computational resources. While often moderate, these costs can be prohibitive in practice when large systems are considered. We present several free-fermion problems that can be solved by a quantum algo...

Towards reconstructing quantum structured light on a quantum computer

Mwezi Koni, Shawal Kasim, Paola C. Obando, Neelan Gounden, Isaac NapePublished: 2025-09-26
We introduce a variational quantum computing approach for reconstructing quantum states from measurement data. By mapping the reconstruction cost function onto an Ising model, the problem can be solved using a variational eigensolver on present-day quantum hardware. As a proof of concept, we demonstrate the method on quantum structured light, in particular, entangled photons carrying orbital angul...

Quantum Computer Fingerprinting using Error Syndromes

Vincent Mutolo, Devon Campbell, Quinn Manning, Henri Witold Dubourg, Ruibin Lyu, Simha Sethumadhavan, Daniel Rubenstein, Salvatore StolfoPublished: 2025-06-19
As quantum computing matures and moves toward broader accessibility through cloud-based platforms, ensuring the authenticity and integrity of quantum computations becomes an urgent concern. In this work, we propose a strategy to leverage the byproducts of quantum error correction (QEC) to verify hardware identity and authenticate quantum computations for "free", without introducing any additional ...

Scalable modular architecture for universal quantum computation

Fernando Gago-Encinas, Christiane P. KochPublished: 2025-07-19
Universal quantum computing requires the ability to perform every unitary operation, i.e., evolution operator controllability. In view of developing resource-efficient quantum processing units (QPUs), it is important to determine how many local controls and qubit-qubit couplings are required for controllability. Unfortunately, assessing the controllability of large qubit arrays is a difficult task...

Benchmarking Quantum Computers: Towards a Standard Performance Evaluation Approach

Arturo Acuaviva, David Aguirre, Rubén Peña, Mikel SanzPublished: 2024-07-15
The technological development of increasingly larger quantum processors on different quantum platforms raises the problem of how to fairly compare their performance, known as quantum benchmarking of quantum processors. This is a challenge that computer scientists have already faced when comparing classical processors, leading to the development of various mathematical tools to address it, but also...

Bridging Quantum Computing and Nuclear Structure: Atomic Nuclei on a Trapped-Ion Quantum Computer

Sota Yoshida, Takeshi Sato, Takumi Ogata, Masaaki KimuraPublished: 2025-09-25
We report accurate quantum simulations of medium-mass atomic nuclei -including oxygen, calcium, and nickel- on the RIKEN-Quantinuum Reimei trapped-ion quantum computer, achieving sub-percent accuracy. Using a symmetry-aware pair-unitary coupled-cluster doubles (pUCCD) ansatz implemented with a hard-core-boson mapping, and with particle-number-restoring post-selection, our ground-state energy estim...

(2+1)D Quantum Electrodynamics at Finite Density on a Quantum Computer

Emil Otis Rosanowski, Arianna Crippa, Lena Funcke, Paulo Vitor Itaborai, Karl Jansen, Simran SinghPublished: 2025-09-24
In this paper, we explore (2+1)D quantum electrodynamics (QED) at finite density on a quantum computer, including two fermion flavors. Our method employs an efficient gauge-invariant ansatz together with a quantum circuit structure that enforces Gauss's law. As a proof of principle, we benchmark our simulation protocol on a small lattice system, demonstrating the identification of phase transition...

Quantum computing on encrypted data with arbitrary rotation gates

Mohit Joshi, Manoj Kumar Mishra, S. KarthikeyanPublished: 2025-08-26
An efficient technique of computing on encrypted data allows a client with limited capability to perform complex operations on a remote fault-tolerant server without leaking anything about the input or output. Quantum computing provides information-theoretic security to solve such a problem, and many such techniques have been proposed under the premises of half-blind quantum computation. However, ...

Efficient Preparation of Resource States for Hamiltonian Simulation and Universal Quantum Computation

Thierry N. Kaldenbach, Isaac D. Smith, Hendrik Poulsen Nautrup, Matthias Heller, Hans J. BriegelPublished: 2025-09-05
The direct compilation of algorithm-specific graph states in measurement-based quantum computation (MBQC) can lead to resource reductions in terms of circuit depth, entangling gates, and even the number of physical qubits. In this work, we extend previous studies on algorithm-tailored graph states to periodic sequences of generalized Pauli rotations, which commonly appear in, e.g., Trotterized Ham...

🏢 Company Papers

Probing Fractional Quantum Hall states in weakly interacting Fermi gases

Viktor Bekassy, Mikael Fogelström, Johannes HofmannPublished: 2025-09-26
Quantum gases are used to simulate the physics of the lowest Landau level (LLL) with neutral atoms, which in the simplest setup is achieved by rotating the gas at the confining harmonic trap frequency, a requirement that is difficult to achieve in practice. We point out that for weakly interacting Fermi gases, this rapid-rotation limit is not needed to access the LLL: As a direct consequence of fi...

Laughlin-like states of few atomic excitations in small subwavelength atom arrays

Błażej Jaworowski, Darrick E. ChangPublished: 2025-04-23
Atom arrays with sub-wavelength lattice constant can exhibit fascinating optical properties. For example, the combination of $V$-type level structure and magnetic fields can yield topological band structures, making the neutral atomic excitations behave like charged particles in a magnetic field. Up to now, much of our understanding of these systems (and arrays in general) focuses on the single-ex...

Using Generative AI to Uncover What Drives Player Enjoyment in PC and VR Games

Hisham AbdelqaderPublished: 2025-08-09
As video games continue to evolve, understanding what drives player enjoyment remains a key challenge. Player reviews provide valuable insights, but their unstructured nature makes large-scale analysis difficult. This study applies generative AI and machine learning, leveraging Microsoft Phi-4 small language model (SLM) and Google Cloud, to quantify and analyze game reviews from Steam and Meta Que...

Cryogenic In-Memory Computing with Phase-Change Memory

Davide G. F. Lombardo, Siddharth Gautam, Alberto Ferraris, Manuel Le Gallo, Abu Sebastian, Ghazi Sarwat SyedPublished: 2025-09-26
In-memory computing (IMC) is an emerging non-von Neumann paradigm that leverages the intrinsic physics of memory devices to perform computations directly within the memory array. Among the various candidates, phase-change memory (PCM) has emerged as a leading non-volatile technology, showing significant promise for IMC, particularly in deep learning acceleration. PCM-based IMC is also poised to pl...

Evaluating the Limits of Large Language Models in Multilingual Legal Reasoning

Antreas Ioannou, Andreas Shiamishis, Nora Hollenstein, Nezihe Merve GürelPublished: 2025-09-26
In an era dominated by Large Language Models (LLMs), understanding their capabilities and limitations, especially in high-stakes fields like law, is crucial. While LLMs such as Meta's LLaMA, OpenAI's ChatGPT, Google's Gemini, DeepSeek, and other emerging models are increasingly integrated into legal workflows, their performance in multilingual, jurisdictionally diverse, and adversarial contexts re...

StreetReaderAI: Making Street View Accessible Using Context-Aware Multimodal AI

Jon E. Froehlich, Alexander Fiannaca, Nimer Jaber, Victor Tsaran, Shaun KanePublished: 2025-08-11
Interactive streetscape mapping tools such as Google Street View (GSV) and Meta Mapillary enable users to virtually navigate and experience real-world environments via immersive 360{\deg} imagery but remain fundamentally inaccessible to blind users. We introduce StreetReaderAI, the first-ever accessible street view tool, which combines context-aware, multimodal AI, accessible navigation controls, ...

Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models

Aleksandar Terzić, Nicolas Menet, Michael Hersche, Thomas Hofmann, Abbas RahimiPublished: 2025-09-26
Modern state-space models (SSMs) often utilize transition matrices which enable efficient computation but pose restrictions on the model's expressivity, as measured in terms of the ability to emulate finite-state automata (FSA). While unstructured transition matrices are optimal in terms of expressivity, they come at a prohibitively high compute and memory cost even for moderate state sizes. We pr...

Introduction of modelling radical pair quantum spin dynamics with tensor networks

Kentaro Hino, Damyan S. Frantzov, Yuki Kurashige, Lewis M. AntillPublished: 2025-09-26
Radical pairs (also known as spin qubit pairs, electron-hole pairs) are transient reaction intermediates that are found and utilised in all areas of science. Radical pair spin dynamics simulations including all nuclear spins have been a computational barrier due to exponential scaling memory requirements. We address this issue with a tensor network method for accurately simulating the full open qu...

📚 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...