As we approach the end of 2024, we reflect with gratitude on an incredible year shaped by shared achievements and meaningful collaborations. Together with our partners and customers, we’ve been fortunate to work on fascinating commissions and pioneering research projects that push the boundaries of innovation.

A particularly proud moment for us this year was the release of HQStage, a milestone made possible through the trust and support of our collaborators, investors, and government agencies. This achievement is also a testament to the dedication and teamwork within HQS, as well as the shared vision we all strive to bring to life.

Thank you for being an integral part of this journey. We invite you to explore the key milestones and highlights of this year below, showcasing the incredible projects we’ve accomplished together.

In the QSolid collaborative project, Forschungszentrum Jülich and its partners have started operating the first prototype of a quantum computer with optimised qubit quality. It forms the basis of a future quantum computer being developed in Germany using superconducting qubits, which will be able to perform complex calculations for industry and research.

The DLR QCI put out a call for tenders to find support for the QuantiCoM materials research project at the DLR Institute of Materials Research: The contract has now been awarded to HQS Quantum Simulations.

The QuantiCoM project aims to enhance materials research by integrating quantum machine learning (QML) with traditional data-based methods to predict and optimize the properties of alloys. By leveraging quantum computing approaches, the project seeks to achieve a quantum advantage in machine learning, particularly in network training, thereby improving the efficiency and effectiveness of material property predictions compared to conventional techniques.

Join our informative webinar “Maximizing the Use for Quantum Simulation through AI Assistance for Model Building”, where we will introduce the innovative HQS Modeling Assistant.

Webinar: Maximizing the Use for Quantum Simulation through AI Assistance for Model Building

Date: Wednesday, November 13, 2024
Time: 15:30 – 17:00 CET

Artificial intelligence will make our work much easier. Minimizing errors and saving time are crucial factors to improve research, development and analysis in many areas. As a provider of quantum simulation software, we have developed an assistant that makes it easier for engineers and scientists to work with scientific software.

HQS is excited to announce our upcoming webinar on "Non-Unitary Gates in Quantum Algorithms: Overcoming the Barren Plateau Problem." This insightful webinar will delve into the theoretical foundation behind our innovative software, HQStage, and explore how non-unitary gates can effectively tackle the challenges of optimizing parameterized quantum circuits.

The barren plateau problem has long been a major challenge in quantum machine learning and optimization. At HQS, we have implemented a groundbreaking approach to overcome this obstacle using our powerful HQStage software. By leveraging non-unitary gates, we have reshaped the training landscape, enabling more effective convergence and unlocking the full potential of quantum simulation and other applications for quantum computers.

HQS Quantum Simulations is pleased to announce the release of HQS Tasks: an innovative software module of the HQStage toolkit for exploiting large amounts of computational resources with minimal effort.
“HQS Tasks opens up a world of computing resources without having to worry about setup," says Sebastian Lehmann, head of development for HQS Tasks. “HQS Tasks users do not need their own computing resources. They can specify the hardware resources they need to run their tasks, although HQS provides optimal default values.”
One of the key features of HQS Tasks is its seamless integration with Python, allowing users to stay in their favorite Jupyter notebook environment while accessing our tasks. The principle of detached sending and retrieving of results ensures that users can comfortably continue their workflow at their own pace.

HQS Quantum Simulations (HQS) announces the release of an update to its open-source tool, the Active Space Finder (ASF). Developed in collaboration with Covestro, a global player in the field of polymer materials, this update aims to enhance chemical simulations by simplifying the selection of active spaces in molecules.

Selecting the appropriate set of active orbitals can be a complex task that requires significant expertise. Recognizing this challenge, HQS and Covestro have been working together since 2020 to develop a tool that makes such calculations easier and more accessible to both expert and non-expert users. The initial version of the ASF has been available on GitHub since 2021, and users can now download the improved version.

HQS Quantum Simulations offers a comprehensive webinar series introducing the newly launched HQStage software toolkit, exploring current applications in quantum computing. The HQStage webinar series starts with one-hour sessions on installation, feature exploration, and practical use cases. We also cover features from scientific papers on NMR and algorithmic cooling. This is followed by in-depth webinars on advanced topics like non-unitary gates in quantum algorithms and AI for quantum simulation. Find out more about joining these free webinars.

HQS Quantum Simulations proudly presents HQStage, a powerful modular cloud-supported toolkit designed to meet the simulation needs of developers and researchers in quantum physics and chemistry. HQStage offers 10 powerful simulation modules, intuitive management tools and the flexibility to combine local and cloud computing.

The Leibniz Supercomputing Centre (LRZ) has recently installed the HQS Noise App from HQS Quantum Simulations, a significant milestone in their collaborative efforts to advance quantum computing technology. This installation is a key component of the Q-Exa project, where LRZ and HQS aim to explore the intricate details of quantum computing and accelerate the development of quantum computing applications for various companies and researchers. To meet the objectives of the Q-Exa project, the HQS Noise App underwent significant enhancements. These enhancements were carefully designed to align the app's capabilities with the project's goals. After rigorous development and testing, the final version of the app has been successfully delivered. LRZ and HQS are delighted to announce a joint workshop to showcase the latest iteration of the HQS Noise App.

HQS Quantum Simulations (HQS), a quantum startup from Karlsruhe, is supporting the QRydDemo project on behalf of the University of Stuttgart by developing a special compiler. The QRydDemo project is building a quantum computer based on neutral atoms. The compiler developed by HQS is specifically tailored to the unique features of this quantum computer. HQS will continue its support for the project, initiated in 2021 and scheduled to run until January 2025, and will improve the compiler further.

As part of the AutoQML project on behalf of Fraunhofer IPA, HQS has developed a robust software library, the AutoSelectionBackend, which enables the automatic transpilation of quantum machine learning circuits. To simplify and optimize the development of QML solutions in an industrial context, the AutoQML project, led by Fraunhofer IAO, aims to integrate quantum components into the field of automated machine learning (AutoML). The library has been successfully integrated into the AutoQML framework and is now available as an open-source solution on the PlanQK platform.

As the year ends, we take this opportunity to reflect on a year filled with events and successes and provide a glimpse into exciting developments for the coming year. The year began for us with a move to a larger, modern office building, where we found it easy to settle in - off to a good start to a successful year:

HQS Quantum Simulations provides setups for simulating chemical systems such as metal-organic frameworks (MOFs) on quantum computers on behalf of Fraunhofer IAF and ICT. The QC-4-BW project is developing a diamond-based quantum processor. Its performance will be evaluated using quantum chemical calculations.

HQS Quantum Simulations GmbH is proud to announce the delivery of a specialized quantum simulation software package to the DLR Institute. The order was placed as part of the DLR Quantum Computing Initiative. In particular, the simulation of material properties and the analysis of material dynamics on quantum computers is of great interest to industry. This requires the development of customized compilation strategies and quantum algorithms in hardware-software co-design for current quantum computers of the NISQ era. Successful collaboration on this challenge represents a major advance in the benefits of quantum technology for industrial end users.

We are excited to announce our presence at SC23, a prestigious high-performance computing event taking place from 12-17 November 2023 in Denver, Colorado. This year HQS launched several cutting-edge software applications poised to revolutionize the chemical and pharmaceutical industries. We look forward to welcoming you to Booth 975, where you can explore our software solutions and learn more about our recent activities. Here's a brief overview of what to expect:

The future is now! Quantum technologies are experiencing a significant breakthrough in various application areas. At the Quantum Effects trade fair and the QBN Industry Summit on October 10 and 11, 2023, application-oriented quantum technologies will be presented and discussed that can already be used in the near future and promise disruptive innovations. As a pioneer in the commercialization of quantum simulation, HQS is proud to be a launch partner of the trade show, presenting its software solutions and their underlying approach.

HQS Quantum Simulations, a leading provider of quantum software solutions, is thrilled to announce the release of Qoqo for Braket, an innovative interface that seamlessly converts quantum circuits of the HQS Quantum Computing toolkit Qoqo to Amazon Braket circuits, enabling their execution on QPUs and simulators available on Amazon Braket.

First full-stack quantum computer able to run an algorithm developed by HQS Quantum Simulations, demonstrating potential for near-term quantum advantage.
SEEQC, the digital quantum computing company, today announced with HQS Quantum Simulations that it has successfully run an algorithm on its SEEQC System Red, the company’s full-stack quantum computing system, that shows great potential to achieve commercially useful quantum advantage in the near term. SEEQCs high-quality system characterization has allowed HQS Quantum Simulations to test, for the first time on real hardware, their unique approach to perform quantum simulation on noisy quantum computers. This is an important third-party validation for SEEQC and a testament to the high quality and commercially stable performance of SEEQC Red’s platform — the company’s first-generation reference class quantum computer system.

HQS Quantum Simulations, Europe’s leading startup for complex quantum simulations, receives further capital injection and strengthens its management team. The TRUMPF Group’s corporate venture capital unit, Trumpf Venture II GmbH, joins the company as a new one-million-euro investor. HQS Quantum Simulations had already closed on a Series A financing round last year. Michael Bolle has also been part of the Advisory Board since then. The former CTO and CDO of Robert Bosch GmbH brings along years of experience as a technology expert and leading manager. He is primarily dedicated in his new role to the technological development of HQS Quantum Simulations’ software.