Tootfinder

Cryogenic In-Memory Computing with Phase-Change Memory
Davide G. F. Lombardo (IBM Research Europe, Ruschlikon, Switzerland), Siddharth Gautam (IBM Research Europe, Ruschlikon, Switzerland), Alberto Ferraris (IBM Research Europe, Ruschlikon, Switzerland), Manuel Le Gallo (IBM Research Europe, Ruschlikon, Switzerland), Abu Sebastian (IBM Research Europe, Ruschlikon, Switzerland), Ghazi Sarwat Syed (IBM Research Europe, Ruschlikon, Switzerland)

Cryogenic In-Memory Computing with Phase-Change Memory
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 play a pivotal role in cryogenic applications, including quantum computing and deep space electronics…

Enhanced Algorithmic Perfect State Transfer on IBM Quantum Computers
Zong-Yuan Ge, Lian-Ao Wu, Zhao-Ming Wang
https://arxiv.org/abs/2508.18626 https://arxi…

Enhanced Algorithmic Perfect State Transfer on IBM Quantum Computers
Perfect state transfer (PST) through a spin chain can be theoretically obtained via predesigned PST couplings. However, the corresponding experiment on IBM quantum computers demonstrates low transmission success probability (SP) due to noises. Using few qubits of their 127-qubit Eagle processors, we perform the simulation of algorithmic PST through an XY spin chain with PST couplings on ibm_sherbrooke and ibm_brisbane processors, alongside Qiskit simulations. The peak SP cannot reach 1 ($\sim$0…

IBM says it was able to run a key quantum computing algorithm in real-time on commonly available field programmable gate array chips made by AMD (Stephen Nellis/Reuters)
https://www.reuters.com/business/ibm-says-key-quantum…

Lightweight Targeted Estimation of Layout Noise in a Quantum Computer using Quality Indicator Circuits
Shikhar Srivastava (Indian Institute of Science), Ritajit Majumdar (IBM Quantum, IBM India Research Lab), Padmanabha Venkatagiri Seshadri (IBM Research, India), Anupama Ray (IBM Quantum, IBM India Research Lab), Yogesh Simmhan (Indian Institute of Science)
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Quantum Computing as a Service - a Software Engineering Perspective
Aakash Ahmad, Muhammad Waseem, Bakheet Aljedaani, Mahdi Fahmideh, Peng Liang, Feras Awaysheh
https://arxiv.org/abs/2510.04982

Quantum Computing as a Service - a Software Engineering Perspective
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 viable quantum computing (QC) systems and technologies. Quantum Computing as a Service (QCaaS) is view…

HSBC says it has tested an IBM quantum computing tool on European bond market data and saw a 34% improvement over traditional methods in predicting order fills (Arjun Neil Alim/Financial Times)
https://www.ft.com/content/d9d40c18-0fb6-4b7f-aa92-00aed1900859

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
https://arxiv.org/abs/2509.14196

Quantum Utility in Simulating the Real-time Dynamics of the Fermi-Hubbard Model using Superconducting Quantum Computers
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, employing over 100 qubits. We introduce a first-order Trotterization scheme and extend it to an o…

IBM is holding its own in the quantum computing race against Google, Microsoft, and others, as they tackle enormous scientific and engineering challenges (Christopher Mims/Wall Street Journal)
https://www.wsj.com/tech/ibm-quantum-compute…

The Evolution of IBM's Quantum Information Software Kit (Qiskit): A Review of its Applications
Param Pathak, K Tarakeshwar, Syed Sufiyan Ali, Shalini Devendrababu, Adarsh Ganesan
https://arxiv.org/abs/2508.12245

The Evolution of IBM's Quantum Information Software Kit (Qiskit): A Review of its Applications
Quantum computing is being increasingly adopted for solving classically intractable problems across various domains. However, the availability of accessible and scalable software frameworks remains essential for practical experimentation and adoption. IBM's open-source quantum computing toolkit 'Qiskit' has become a key player in this space by offering tools for circuit design, simulation, hardware execution, and domain-specific applications. This survey provides a systematic review of how Qisk…

Quantum Circuit Benchmarking on IBM Brisbane: Performance Insights from Superconducting Qubit Models
J. Thirunirai Selvam, S. Saravana Veni
https://arxiv.org/abs/2508.05331 http…

Quantum Circuit Benchmarking on IBM Brisbane: Performance Insights from Superconducting Qubit Models
This paper investigates quantum communication using superconducting qubits, emphasizing the simulation and control of quantum systems via IBM Brisbane quantum processor. We focus on implementing fundamental quantum gates and analyzing the evolution of entangled states, which are essential for secure and reliable information transfer. The study highlights the role of entanglement as a critical resource in quantum communication, enabling secure connectivity across quantum networks. Simulations in…

A Hybrid Quantum-AI Framework for Protein Structure Prediction on NISQ Devices
Yuqi Zhang, Yuxin Yang, Feixiong Chen, Cheng-Chang Lu, Nima Saeidi, Samuel L. Volchenboum, Junhan Zhao, Siwei Chen, Weiwen Jiang, Qiang Guan
https://arxiv.org/abs/2510.06413

A Hybrid Quantum-AI Framework for Protein Structure Prediction on NISQ Devices
Variational quantum algorithms provide a direct, physics-based approach to protein structure prediction, but their accuracy is limited by the coarse resolution of the energy landscapes generated on current noisy devices. We propose a hybrid framework that combines quantum computation with deep learning, formulating structure prediction as a problem of energy fusion. Candidate conformations are obtained through the Variational Quantum Eigensolver (VQE) executed on IBM's 127-qubit superconducting…

Optimizing Inter-chip Coupler Link Placement for Modular and Chiplet Quantum Systems
Zefan Du, Pedro Chumpitaz Flores, Wenqi Wei, Juntao Chen, Kaixun Hua, Ying Mao
https://arxiv.org/abs/2509.10409

Optimizing Inter-chip Coupler Link Placement for Modular and Chiplet Quantum Systems
Quantum computing offers unparalleled computational capabilities but faces significant challenges, including limited qubit counts, diverse hardware topologies, and dynamic noise and error rates, which hinder scalability and reliability. Distributed quantum computing, particularly chip-to-chip connections, has emerged as a solution by interconnecting multiple processors to collaboratively execute large circuits. While hardware advancements, such as IBM's Quantum Flamingo, focus on improving inte…

Estimation of deuteron binding energy using Qiskit with renormalization group-based effective interactions
Sreelekshmi Pillai, S. Ramanan, V. Balakrishnan, S. Lakshmibala
https://arxiv.org/abs/2509.08948

Estimation of deuteron binding energy using Qiskit with renormalization group-based effective interactions
We have obtained the binding energy of the deuteron on a quantum simulator using the variational quantum eigensolver (VQE) for renormalization group (RG)-based low-momentum effective interactions. The binding energy has been calculated in the truncated harmonic oscillator (HO) basis, using the Qiskit-Aer simulator in both noise-free and noisy cases. The noise models have been taken from the actual IBM quantum hardware, and the results obtained have been extrapolated to the zero noise limit. It …

Bridging Theory and Practice in Quantum Game Theory: Optimized Implementation of the Battle of the Sexes with Error Mitigation on NISQ Hardware
Germ\'an D\'iaz Agreda, Carlos Andres Duran Paredes, Mateo Buenaventura Samboni, Jhon Alejandro Andrade, Sebasti\'an Andr\'es Cajas Ordo\~nez
https://arxiv.org/abs/2508.09050…

Bridging Theory and Practice in Quantum Game Theory: Optimized Implementation of the Battle of the Sexes with Error Mitigation on NISQ Hardware
Implementing quantum game theory on real hardware is challenging due to noise, decoherence, and limited qubit connectivity, yet such demonstrations are essential to validate theoretical predictions. We present one of the first full experimental realizations of the Battle of the Sexes game under the Eisert-Wilkens-Lewenstein (EWL) framework on IBM Quantum's ibm sherbrooke superconducting processor. Four quantum strategies (I, H, $R(Ï€/4)$, $R(Ï€)$) were evaluated across 31 entanglement values $Î…

Google and IBM believe the first industrial-scale quantum computer is in sight, potentially by 2030, but challenges like scaling from ~200 to 1M qubits remain (Richard Waters/Financial Times)
https://www.ft.com/content/2fe4b1a3-b0d3-403a-bdd3-f033b3e5e56a

Schrodinger's Toolbox: Exploring the Quantum Rowhammer Attack
Devon Campbell
https://arxiv.org/abs/2509.06318 https://arxiv.org/pdf/2509.06318

Schrodinger's Toolbox: Exploring the Quantum Rowhammer Attack
Residual cross-talk in superconducting qubit devices creates a security vulnerability for emerging quantum cloud services. We demonstrate a Clifford-only Quantum Rowhammer attack-using just X and CNOT gates-that injects faults on IBM's 127-qubit Eagle processors without requiring pulse-level access. Experiments show that targeted hammering induces localized errors confined to the attack cycle and primarily manifests as phase noise, as confirmed by near 50% flip rates under Hadamard-basis probin…

Intermediate-temperature topological Uhlmann phase on IBM quantum computers
Christopher Mastandrea, Costin Iancu, Hao Guo, Chih-Chun Chien
https://arxiv.org/abs/2508.02915 https…

Intermediate-temperature topological Uhlmann phase on IBM quantum computers
A spin-1 system can exhibit an intermediate-temperature topological regime with a quantized Uhlmann phase sandwiched by topologically trivial low- and high-temperature regimes. We present a quantum circuit consisting of system and ancilla qubits plus a probe qubit which prepares an initial state corresponding to the purified state of a spin-1 system at finite temperature, evolves the system according to the Uhlmann process, and measures the Uhlmann phase via expectation values of the probe qubi…