Welcome to this biweekly update on quantum computing. The past two weeks have brought new research milestones, global science projects, and early market activity in next-generation hardware. The field is moving with a steady (but rapid) pace as firms show progress in both core science and applied tech.
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IonQ Shows New Algorithms at IEEE Quantum Week
We begin with IonQ (IONQ), which will present four peer-reviewed papers at the IEEE Quantum Week in New Mexico. The research spans energy grid management, linear algebra, and fluid simulation. One paper, written with Ansys, a leading provider of simulation software, introduces advances in lattice Boltzmann methods, a tool used to model the movement of fluids. This approach, which aligns well with high-performance computing, has the potential to support more efficient fluid modeling in the future. Another paper presents a hybrid quantum-classical algorithm designed to improve power grid scheduling. Taken together, these efforts show IonQ’s push to move beyond hardware and into practical algorithms, with potential applications in aerospace, automotive, biomedical, and other industries.
Quantinuum Pushes Into Genomics
Quantinuum, a unit spun out of Honeywell (HON), has joined with the Wellcome Sanger Institute to process a full genome on a quantum system. The work uses Quantinuum’s System H2 machine, which holds the current global record for Quantum Volume at 8,388,608. The chosen genome is PhiX174, which was the first virus ever fully sequenced. The team hopes to complete the task within a year. If successful, the project could set a new mark for real-world quantum use in health research.
CDimension Targets New Chips with 2D Materials
CDimension, a spin-out from MIT, is supplying wafer-scale 2D materials such as molybdenum disulfide to Carnegie Mellon, Duke, and UC San Diego. The firm is also building 3D chip designs for AI and quantum. Powerchip Semiconductor is helping test early structures. The plan is to bridge the gap between lab work and large-scale chip production.
Quantum Research Sciences Secures Air Force Deal
Quantum Research Sciences, a software group from Indiana, has won a U.S. Air Force contract to develop a new AI platform called ACID-R. The tool will help the service scan and filter vendor proposals more quickly by using machine learning to extract data from PDF files. The firm has prior work with the Department of Defense on early quantum software, and it is again working with Purdue University for this project.
Kothar Computing Launches Forge Platform
Kothar Computing has launched Forge, a browser-based system that lets scientists run physics simulations in minutes instead of months. The platform is built on a proprietary framework that compresses complex quantum problems. Early users from academic labs are now joining, and the firm plans a wider release. The goal is to make it easier for researchers in physics and chemistry to work on large problems without writing long code.
We used TipRanks’ Comparison Tool to line up some of the top quantum stocks and other tickers mentioned in this piece. It’s an easy way to see how they compare and get a sense of where the space might be headed.
