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Daily Quantum Computing Research & News • October 15, 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

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...

Error mitigation for partially error-corrected quantum computers

Ben DalFavero, Ryan LaRosePublished: 2025-10-13
We present a method for quantum error mitigation on partially error-corrected quantum computers - i.e., computers with some logical qubits and some noisy qubits. Our method is inspired by the error cancellation method and is implemented via a circuit for convex combinations of channels which we introduce in this work. We show how logical ancilla qubits can arbitrarily reduce the sampling complexit...

Quantum Computing as a Service -- a Software Engineering Perspective

Aakash Ahmad, Muhammad Waseem, Bakheet Aljedaani, Mahdi Fahmideh, Peng Liang, Feras AwayshehPublished: 2025-10-06
Quantum systems have started to emerge as a disruptive technology and enabling platforms - exploiting the principles of quantum mechanics via programmable quantum bits (QuBits) - to achieve quantum supremacy in computing. Academic research, industrial projects (e.g., Amazon Braket, IBM Qiskit), and consortiums like 'Quantum Flagship' are striving to develop practically capable and commercially via...

Enhancing quantum computations with the synergy of auxiliary field quantum Monte Carlo and computational basis tomography

Viktor Khinevich, Wataru MizukamiPublished: 2025-02-27
We introduce QC-CBT-AFQMC, a hybrid algorithm that incorporates computational basis tomography (CBT) into the quantum-classical auxiliary-field quantum Monte Carlo (QC-AFQMC) method proposed by Huggins et al. [Nature 603, 416-420 (2022)], replacing the use of classical shadows. While the original QC-AFQMC showed high accuracy for quantum chemistry calculations, it required exponentially costly pos...

Random State Approach to Quantum Computation of Electronic-Structure Properties

Yiran Bai, Feng Xiong, Xueheng KuangPublished: 2025-10-11
Classical computation of electronic properties in large-scale materials remains challenging. Quantum computation has the potential to offer advantages in memory footprint and computational scaling. However, general and practical quantum algorithms for simulating large-scale materials are still lacking. We propose and implement random-state quantum algorithms to calculate electronic-structure prope...

Acousto-optic lens for 3D shuttling of atoms in a neutral atom quantum computer

Zhichao Guo, Rik A. H. van Herk, Edgar J. D. Vredenbregt, Servaas J. J. M. F. KokkelmansPublished: 2025-10-10
We present a novel acousto-optic lens (AOL) design for neutral atom quantum computing. This approach enhances atom rearrangement in optical tweezer arrays and addresses the speed limitations imposed by the cylindrical lensing effect of acousto-optic deflectors (AODs). By combining a double-pass AOD configuration for dynamic focal tuning with a standard pair of crossed AODs for transverse beam stee...

On Quantum Computation Using Bias-Preserving Gates

Debadrito Roy, Aryaman Manish Kolhe, V. Lalitha, Navin KashyapPublished: 2025-10-08
Certain types of quantum computing platforms, such as those realized using Rydberg atoms or Kerr-cat qubits, are natively more susceptible to Pauli-Z noise than Pauli-X noise, or vice versa. On such hardware, it is useful to ensure that computations use only gates that maintain the Z-bias (or X-bias) in the noise. This is so that quantum error-correcting codes tailored for biased-noise models can ...

The foundational value of quantum computing for classical fluids

Sauro Succi, Claudio Sanavio, Peter LovePublished: 2025-10-10
Quantum algorithms for classical physics problems expose new patterns of quantum information flow as compared to the many-body Schr\"{o}dinger equation. As a result, besides their potential practical applications, they also offer a valuable theoretical and computational framework to elucidate the foundations of quantum mechanics, particularly the validity of the many-body Schr\"{o}dinger equation ...

🏢 Company Papers

A GPU-resident Memory-Aware Algorithm for Accelerating Bidiagonalization of Banded Matrices

Evelyne Ringoot, Rabab Alomairy, Alan EdelmanPublished: 2025-10-14
The reduction of a banded matrix to a bidiagonal form is a crucial step in the Singular Value Decomposition (SVD), a cornerstone of scientific computing and AI. Despite being a highly parallel algorithm, it was previously believed to be unsuitable for GPU computation because it is memory bandwidth-bound. Recent developments in GPU hardware, including larger L1 memory per Streaming Multiprocessor/C...

Proof of Cloud: Data Center Execution Assurance for Confidential VMs

Filip Rezabek, Moe Mahhouk, Andrew Miller, Stefan Genchev, Quintus Kilbourn, Georg Carle, Jonathan Passerat-PalmbachPublished: 2025-10-14
Confidential Virtual Machines (CVMs) protect data in use by running workloads inside hardware-isolated environments. In doing so, they also inherit the limitations of the underlying hardware. Trusted Execution Environments (TEEs), which enforce this isolation, explicitly exclude adversaries with physical access from their threat model. Commercial TEEs, e.g., Intel TDX, thus assume infrastructure p...

Experimental verification of multi-copy activation of genuine multipartite entanglement

Robert Stárek, Tim Gollerthan, Olga Leskovjanová, Michael Meth, Peter Tirler, Nicolai Friis, Martin Ringbauer, Ladislav Mišta JrPublished: 2025-10-14
A central concept in quantum information processing is genuine multipartite entanglement (GME), a type of correlation beyond biseparability, that is, correlations that cannot be explained by statistical mixtures of partially separable states. GME is relevant for characterizing and benchmarking complex quantum systems, and it is an important resource for applications such as quantum communication. ...

Quantifying Charge Noise Sources in Quantum Dot Spin Qubits via Impedance Spectroscopy, DLTS, and C-V Analysis

Tyafur Rahman Pathan, Daryoosh VashaeePublished: 2025-10-12
The coherence and fidelity of quantum dot (QD) spin qubits are fundamentally limited by charge noise arising from electrically active trap states at oxide interfaces, heterostructure boundaries, and within the bulk semiconductor. These traps introduce electrostatic fluctuations that couple to the qubit via spin-orbit interactions or charge-sensitive confinement potentials, leading to dephasing and...

Fast CZ Gate via Energy-Level Engineering in Superconducting Qubits with a Tunable Coupler

Benzheng Yuan, Chaojie Zhang, Chuanbing Han, Shuya Wang, Peng Xu, Huihui Sun, Qing Mu, Lixin Wang, Bo Zhao, Weilong Wang, Zheng ShanPublished: 2025-10-10
In superconducting quantum circuits, decoherence errors in qubits constitute a critical factor limiting quantum gate performance. To mitigate decoherence-induced gate infidelity, rapid implementation of quantum gates is essential. Here we propose a scheme for rapid controlled-Z (CZ) gate implementation through energy-level engineering, which leverages Rabi oscillations between the |11> state and t...

An Empirical Study of Reducing AV1 Decoder Complexity and Energy Consumption via Encoder Parameter Tuning

Vibhoothi Vibhoothi, Julien Zouein, Shanker Shreejith, Jean-Baptiste Kempf, Anil KokaramPublished: 2025-10-14
The widespread adoption of advanced video codecs such as AV1 is often hindered by their high decoding complexity, posing a challenge for battery-constrained devices. While encoders can be configured to produce bitstreams that are decoder-friendly, estimating the decoding complexity and energy overhead for a given video is non-trivial. In this study, we systematically analyse the impact of disablin...

Implementing the Quantum Approximate Optimization Algorithms for QUBO problems Across Quantum Hardware Platforms: Performance Analysis, Challenges, and Strategies

Teemu Pihkakoski, Aravind Plathanam Babu, Pauli Taipale, Petri Liimatta, Matti SilveriPublished: 2025-10-14
Quantum computers are expected to offer significant advantages in solving complex optimization problems that are challenging for classical computers. Quadratic Unconstrained Binary Optimization (QUBO) problems represent an important class of problems with relevance in finance and logistics. The Quantum Approximate Optimization Algorithm (QAOA) is a prominent candidate for solving QUBO problems on ...

Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences (October 2025 -- Version 2)

Gavin Farrell, Eleni Adamidi, Rafael Andrade Buono, Mihail Anton, Omar Abdelghani Attafi, Salvador Capella Gutierrez, Emidio Capriotti, Leyla Jael Castro, Davide Cirillo, Lisa Crossman, Christophe Dessimoz, Alexandros Dimopoulos, Raul Fernandez-Diaz, Styliani-Christina Fragkouli, Carole Goble, Wei Gu, John M. Hancock, Alireza Khanteymoori, Tom Lenaerts, Fabio G. Liberante, Peter Maccallum, Alexander Miguel Monzon, Magnus Palmblad, Lucy Poveda, Ovidiu Radulescu, Denis C. Shields, Shoaib Sufi, Thanasis Vergoulis, Fotis Psomopoulos, Silvio C. E. TosattoPublished: 2025-05-22
Artificial intelligence (AI) has recently seen transformative breakthroughs in the life sciences, expanding possibilities for researchers to interpret biological information at an unprecedented capacity, with novel applications and advances being made almost daily. In order to maximise return on the growing investments in AI-based life science research and accelerate this progress, it has become u...

📚 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...