Quantum computers could soon solve battlefield problems to help US win war: Report Quantum computers are rapidly approaching the point where they will be able to outperform classical computers for solving certain battlefield problems. Quantum technology company Q-CTRL has published a whitepaper illustrating that quantum computing systems are rapidly maturing to begin addressing battlefield problems in areas like contested logistics, defense industrial resilience, missile defense and counter unmanned aerial systems. The company states that quantum-enhanced solutions to these problems are either already validated with its defense clients or are extended from cross-sector problems into defense contexts. These solutions translate into battlefield information advantages for the military planners. The paper also provides forecasts (based on the IBM quantum computing roadmap) on the rate of current advancements and the timeline of maturity of these computational solutions. Company deep dive Q-CTRL is headquartered in Chippendale, New South Wales, Australia. Its area of expertise is in developing software tools for quantum error suppression and quantum navigation. The error suppression comprises a set of techniques that reduce the likelihood of hardware error while quantum bits are being manipulated or used for memory storage. Use cases for battlefield problems The whitepaper highlights four use cases, where quantum enhanced solutions provided faster processing and better solutions (relative to classical computers) to complicated battlefield problems. These include: Convoy routing, with an aim of providing logistics solutions that deliver materials on time while minimizing risk and showing resilience against enemy disruption. The study indicates 2027 as the estimated timeline for availability of quantum enhanced solutions, requiring 4.6x increase in qubit capacity from the current state of the art (up to 156 qubit IBM quantum computer). Strategic airlift, with an objective of efficiently supplying a wide range of front-line commands with materiel specific to their operational needs over multiple domains