Classiq recently announced a collaboration with NVIDIA and the BMW Group in the field of quantum computing applications to optimize mechatronic systems. It aims to use advanced quantum algorithms such as QAOA and HHL to solve complex computational challenges and design electrical and mechanical systems with optimal architectures. The goal of the collaboration is to enhance efficiency and reduce energy waste, which can result – among other things – in the increased efficiency of electric vehicles.

QunaSys Inc., a leading innovator in quantum computing technology, is appointing Erik H. Stangerup as the new Head of European Business and CEO of QunaSys Denmark ApS. Elena Yndurain, who led the launch of the European business, will remain as the company’s Executive Advisor.

The Quantum Computing Initiative (QCI) of the German Aerospace Center (DLR) recently announced that its QCoKaIn application project has signed a research and development contract with Airbus Defence & Space. Airbus will work with the research team of the DLR Institute of Data Science to develop a hybrid quantum machine learning algorithms capable of automatically detecting anomalies in telemetry data.

The Île-de-France Region (Paris Region) has decided to provide €2 million in support for the AQADOC project to promote the development of the local quantum computing industry. Led by Welinq, EDF, Pasqal, and Quantela, the ultimate goal of the AQADOC project is to address new challenges linked to the energy transition that conventional supercomputers cannot solve, by developing new algorithms adapted to critical applications in the energy sector.

Quantum Algorithms Institute recently announced the Centre for Responsible Quantum Innovation and Technology to build a quantum technology ecosystem guided by the principles of ethics, inclusion, and sustainability. It will seek to address a wide range of ethical questions related to quantum technology through its objectives of research, and best practices, as well as collaboration and communication.

Recently, QuEra Computing, a developer of neutral-atom quantum computers, has reached a collaboration with QPerfect, a provider of software solutions focused on accelerating practical quantum computing. The two parties will jointly evaluate and develop tensor network methods for accurate modeling of quantum error correction. This collaboration will leverage QPerfect's MIMIQ quantum computing simulator to conduct high-fidelity, large-scale simulations of logical quantum algorithms, aiming to assist QuEra in evaluating error correction algorithms for its atomic quantum computers.

Researchers at JPMorgan Chase, Argonne National Laboratory, and Quantinuum have collaborated to demonstrate clear evidence of quantum speedup in the Quantum Approximate Optimization Algorithm (QAOA). By applying the QAOA algorithm to the Low Autocorrelation Binary Sequence (LABS) problem, the research team found that the time required to solve increasingly larger problems using this algorithm grows slower than that of classical solvers. Furthermore, they also demonstrated a small-scale implementation of Quantinuum’s System Model H1 and H2 trapped-ion quantum computers.