D-Wave Quantum Inc., a leader in quantum computing systems, software, and services and the world’s first commercial supplier of quantum computers, and Zapata Computing, Inc. (operating as Zapata AI), the Industrial Generative AI software company that develops solutions and applications to solve enterprises’ difficult, industrial-scale problems, have announced a multi-year strategic partnership to develop and bring to market commercial applications that combine the power of generative AI and quantum computing technologies.

D-Wave Quantum Inc. (“D-Wave” or the “Company”), a leader in quantum computing systems, software, and services, and the pharmaceutical division of Japan Tobacco Inc. (“JT”) today announced the completion of a joint proof-of-concept project that used quantum computing technology and artificial intelligence (AI) in the drug discovery process. JT and D-Wave enhanced large language models (LLMs) with a quantum-hybrid workflow to increase their generative capabilities and enable JT to produce novel, more ‘drug-like’ molecular structures beyond those found in the training datasets for the quantum-hybrid generative AI system.

The EuroQCS-France consortium, led by GENCI and CEA, is pleased to announce that European researchers can now access a 12-qubit Quandela photonic quantum computing system remotely. This exciting development allows European users to begin programming and testing their applications on a real photonic quantum computer, months ahead of the anticipated deployment at TGCC (CEA’s computing center) of the on-premise Lucy system in the end of 2025. They can be supported by experts from a High-Level Support Team to port their applications onto the photonic quantum computer.

Led by D-Wave, an international collaboration including researchers from UBC’s Blusson QMI has achieved a major milestone in quantum annealing, pushing computing beyond classical limits to solve complex magnetic material simulation problems for materials discovery. The study was published in Science.

At the SuperComputing 2024 (SC24) conference in Atlanta (GA), from November 17–22, and the European Quantum Technologies Conference in Lisbon (Portugal), from November 18–20, the EuroQCS-France consortium announced plans to grant early remote access to a 6-qubit digital photonic quantum computer developed by Quandela. This initiative aims to support the European research community before the deployment of the Lucy system in France next year.

Today, the Quantum Algorithms Institute (QAI) announced a partnership with Canadian companies, AbaQus and InvestDEFY Technologies, to solve common challenges in training machine learning models for financial applications using D-Wave‘s quantum annealing systems.

Research published earlier this month in the science journal Nature used NVIDIA-powered supercomputers to validate a pathway toward the commercialization of quantum computing. The research, led by Nobel laureate Giorgio Parisi and Massimo Bernaschi, director of technology at the National Research Council of Italy and a CUDA Fellow, focuses on quantum annealing, a method that may one day tackle complex optimization problems that are extraordinarily challenging to conventional computers.

The Coherent Ising Machine (CIM) being developed by NTT Research is a hybrid classical and quantum machine based on photonic circuits. It uses a network of optical parametric oscillators (OPOs) programmed to solve problems that have been mapped to an Ising model, a mathematical abstraction of magnetic systems composed of competitively interacting spins or angular momentums of fundamental particles.

In a recent study, Professor Shunji Kotsuki from the Institute for Advanced Academic Research/Center for Environmental Remote Sensing/Research Institute of Disaster Medicine, Chiba University, along with his colleagues Fumitoshi Kawasaki from the Graduate School of Science and Engineering and Masanao Ohashi from the Center for Environmental Remote Sensing, developed a novel data assimilation technique designed for quantum annealing machines.