Quantum News and Commentary | Tuesday, June 17, 2025
Quantum software engineering and mentoring at the Inside Quantum Technology Quantum+AI conference.
Today’s Brief Commentary:
I was tempted to call this week’s newsletter “Jensen’s Corner” since three of the first articles I added involved NVIDIA. I didn’t include anything about the latest inflection point claim since I’ve used up my allotment for the quarter. It will refresh on July 1, and we can all return to turning the many corners toward quantum advantage.
Lawrence Gasman and I are working on the program for this year’s edition of the Quantum + AI conference in New York City, taking place from October 19 to 21. We’re going to try something different this year with “speed” mentoring and coaching sessions. I often speak with people at the conferences I attend about courses they should take, books they should read, career changes they are considering, and how to break into the quantum industry. We’re formalizing this into 10- to 15-minute meetings where we can discuss any professional topic you’d like to explore. Sign-up will be first-come, first-served at the event.
I hope to convince two or three of my experienced industry friends and colleagues to join me in hosting these sessions. Please ping me on LinkedIn if you are interested.
Don't forget to check out and bookmark our new sortable list of upcoming quantum technology conferences.
The latest Sutor Group report is freely available online: Quantum Processing Unit (QPU) Market Landscape (Abridged) – April 3, 2025. Updates and the full report are available for purchase or by subscription. Contact us for details.
Coding for Quantum Computers
Quantum Art to Advance Scalable Quantum Computing Through Logical Qubit Compiler and NVIDIA CUDA-Q Integration
Date: Wednesday, June 11, 2025
Excerpt: The integration pairs Quantum Art’s Logical Qubit Compiler, leveraging its unique multi-qubit gates and multi-core architecture, with NVIDIA CUDA-Q, enabling developers to run applications seamlessly across QPUs, CPUs, and GPUs. By combining Quantum Art’s compiler, optimized for low circuit depth and scalable performance, with NVIDIA’s expertise in multi-core orchestration and developer enablement, this combination lays critical groundwork for advancing real-world quantum use cases.
Alice & Bob makes quantum simulation more powerful and efficient with new software integration
https://alice-bob.com/newsroom/alice-bobs-dynamiqs-and-nvidia-cuda-q/
Date: Wednesday, June 11, 2025
Excerpt: Alice & Bob, a global leader in the race for fault-tolerant quantum computing, announced today at GTC Paris the ongoing integration of the NVIDIA CUDA-Q platform with Dynamiqs. This combination outperforms the most widely used libraries today, accelerating the simulation of complex quantum dynamics by up to 75x, on early benchmarks. CUDA-Q is NVIDIA’s open-source quantum development platform for hybrid quantum-classical supercomputing.
[2506.10397] Bug Classification in Quantum Software: A Rule-Based Framework and Its Evaluation
https://arxiv.org/abs/2506.10397
Authors: Yousuf, Mir Mohammad and Sofi, Shabir Ahmad
Date: Thursday, June 12, 2025
Commentary: Interesting study that uses the Qiskit framework to examine developer coding mistakes.
Excerpt: Accurate classification of software bugs is essential for improving software quality. This paper presents a rule-based automated framework for classifying issues in quantum software repositories by bug type, category, severity, and impacted quality attributes, with additional focus on quantum-specific bug types. The framework applies keyword and heuristic-based techniques tailored to quantum computing. To assess its reliability, we manually classified a stratified sample of 4,984 issues from a dataset of 12,910 issues across 36 Qiskit repositories. Automated classifications were compared with ground truth using accuracy, precision, recall, and F1-score. The framework achieved up to 85.21% accuracy, with F1-scores ranging from 0.7075 (severity) to 0.8393 (quality attribute). Statistical validation via paired t-tests and Cohen's Kappa showed substantial to almost perfect agreement for bug type (k = 0.696), category (k = 0.826), quality attribute (k = 0.818), and quantum-specific bug type (k = 0.712). Severity classification showed slight agreement (k = 0.162), suggesting room for improvement. Large-scale analysis revealed that classical bugs dominate (67.2%), with quantum-specific bugs at 27.3%. Frequent bug categories included compatibility, functional, and quantum-specific defects, while usability, maintainability, and interoperability were the most impacted quality attributes. Most issues (93.7%) were low severity; only 4.3% were critical. A detailed review of 1,550 quantum-specific bugs showed that over half involved quantum circuit-level problems, followed by gate errors and hardware-related issues.
Quantum Computing
Quobly is launching a “perfect” quantum emulator as part of an accelerated and controlled industrialization strategy
https://quobly.io/news/emulator/
Date: Tuesday, June 10, 2025
Excerpt: Quobly, a pioneer in quantum microelectronics, announces the launch of a software emulator that replicates quantum circuitry on classical machines. This tool enables developers, researchers, and industry professionals to design and test algorithms today, ensuring compatibility with Quobly’s future quantum computer.
This emulator has been developed in partnership with French emulation start-up QPerfect, a specialist in emulation. It prepares users for working with quantum computers, enabling them to start training today. It is already available on the OVHcloud platform.
Quantum Computing Simulation
NVIDIA Advances Quantum Algorithms for Fluid Dynamics | NVIDIA Blog
https://blogs.nvidia.com/blog/ansys-dcai-quantum-computing/
Author: Nicholas Harrigan
Date: Wednesday, June 11, 2025
Excerpt: Gefion is based in Copenhagen and operated by DCAI. It was established by the Novo Nordisk Foundation and the Export and Investment Fund of Denmark.
CUDA-Q taps into GPU-accelerated libraries, enabling Gefion to run complex simulations of a class of algorithms known as Quantum Lattice Boltzmann Methods. By simulating how these algorithms would perform on a 39-qubit quantum computer, Ansys could rapidly and cost-effectively investigate how they impact fluid dynamics applications.
Quantum Computing Systems
Breaking Ground in Quantum Computing: QSA’s Trapped-Ion Advances
https://quantumsystemsaccelerator.org/2025/06/10/trapped-ions/
Author: Owen Poindexter
Date: Tuesday, June 10, 2025
Excerpt: A group of QSA researchers at Sandia National Laboratories led by Jonathan Sterk, designed, fabricated, and performed preliminary tests on a trap chip capable of storing up to 200 ions. This device, called the “enchilada trap,” incorporated novel features to reduce radiofrequency (RF) power dissipation and multiple operational zones connected via junctions. These features can be used in future traps that may need to store orders-of-magnitude more qubits, as shown in a study published on the arXiv. This work is done in collaboration with other QSA researchers at Duke University and Cornell University, where an enchilada trap has been delivered and is currently in operation.
Sovereign Initiatives
[2506.11013] Toward a Brazilian Research Agenda in Quantum Software Engineering: A Systematic Mapping Study
https://arxiv.org/abs/2506.11013
Authors: Fernandes, Filipe and Werner, Cláudia
Date: Tuesday, April 29, 2025
Excerpt: Context: Quantum Software Engineering (QSE) has emerged as a key field to support the development of reliable, maintainable, and scalable quantum applications, bridging advances in quantum computing with established practices in software engineering. Problem: Despite its growth, the field still suffers from fragmented knowledge, with a lack of standardized methodologies, tools, and guidelines tailored to the unique features of the quantum paradigm. Additionally, countries like Brazil have had limited participation in the development of this emerging domain. Objective: This study aims to map the state of the art in QSE by identifying current research trends, recurring contributions, and existing gaps that can guide future investigations and strategic initiatives. Methodology: A systematic mapping study was conducted analyzing selected publications based on inclusion and exclusion criteria. Articles were categorized by study type, research type, and alignment with the SWEBOK knowledge areas. Results: Most of the reviewed studies are primary research articles written in English, with a strong focus on Software Engineering Models and Methods, Software Architecture, and Software Testing. Conceptual proposals and technical solutions predominate, while empirical validations remain limited. Conclusions: Findings confirm that QSE is a promising but still maturing field. The standardization of practices, expansion of empirical studies, and inclusion of researchers from developing countries are crucial for advancing the discipline. Additionally, Brazilian contributions are still scarce, highlighting the urgent need to establish a national research agenda. As a main contribution, this study proposes a Brazilian Research Agenda in QSE, outlining priority areas and opportunities to foster a local scientific community and accelerate progress in this emerging field.
Sutor Group Intelligence and Advisory
Dr. Bob Sutor is the CEO and Founder of Sutor Group Intelligence and Advisory. Sutor Group provides broad market insights and deep technical expertise based on over four decades of experience with startups and large corporations. It advises Deep Tech startups, companies, and investors on quantum technologies, AI, and other emerging tech fields.
Sutor Group shares its knowledge and analysis through direct client engagements and seminars, reports, newsletters, books, written and on-air media appearances, and speaking and panel moderation at the top conferences and client events.
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