# quantum-technologies Published articles for quantum-technologies. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## MIT in the media: For the future of tech, "Massachusetts can absolutely lead" DevFeed: [MIT in the media: For the future of tech, "Massachusetts can absolutely lead"]() Original publisher: [Read original article]() Published: 2026-06-18T04:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [AI Strategy](), [Robotics]() Tags: [ai](), [alumni-ae](), [applied-ai](), [articles](), [artificial-intelligence](), [biotechnology](), [cambridge-boston-and-region](), [computer-science-and-technology](), [courses](), [energy](), [faculty](), [funding](), [health](), [manufacturing](), [president-sally-kornbluth](), [quantum-computing](), [quantum-technologies](), [research](), [robotics](), [startup](), [startups](), [students](), [tech](), [technology-and-society]() ### AI overview MIT's research, AI initiatives, online courses, and entrepreneurship programs are highlighted in coverage of Massachusetts' technology ecosystem and its potential for continued leadership. ### Source excerpt Leaders, faculty across MIT discuss fostering innovation and talent in Greater Boston in special series of articles published alongside the outlet's annual list of 'Tech Power Players' ## Quantum Computing: Paving the Path to a Greener Automotive Industry and Beyond DevFeed: [Quantum Computing: Paving the Path to a Greener Automotive Industry and Beyond]() Original publisher: [Read original article]() Author: Bahram Ganjipour Published: 2024-01-23T14:23:50Z Content type: opinion Language: en Sources: [Volvo Cars Engineering - Medium]() Topics: [Quantum Computing]() Tags: [automotive](), [automotive-industry](), [battery](), [electric-vehicles](), [energy](), [funding](), [interest](), [quantum](), [quantum-computing](), [quantum-technologies](), [research](), [startups]() ### AI overview This second post in a series examines quantum computing's potential applications across industries, with particular attention to automotive use cases such as logistics, materials discovery, and improving batteries for electric vehicles. It also explains that quantum computers are specialized systems rather than universally faster conventional computers and notes growing interest and investment in the field. ### Source excerpt In the 2nd post of this series on the rise of quantum computing, I will explore the industry's landscape and offers an insightful overview of how quantum computing may revolutionize various industries, with a specific focus on its implications for the automotive industry. Quantum computing, as a field, is incredibly inspiring. Its potential to solve complex computational problems beyond the capabilities of classical computers fuels our hopes for energy-efficient solutions in various domains. This includes addressing logistics challenges, advancing material discovery, and significantly improving battery technology for electric vehicles. This inspirational view drew a lot of attention and investment to the field, and, as it is usual, the fertile ground provides a general opportunity for growth, both for the expected and the unexpected, paving the way for a greener, more sustainable future in the automotive industry and the broader realm of electric vehicles. Like many other technologies, quantum computing (QC) has a longer history than we might expect. The academic foundations of the field were established in the 1980s, similar to the internet, which took decades to achieve widespread adoption. In the next post of this series, I will go into more detail on QC and how it works. For those who are unfamiliar with quantum computers, there are a few things to keep in mind for the time being. Firstly, Quantum computers are not simply superior versions of regular computers; they are vastly different systems that excel in solving specific problems. Their superior performance can be linked to their ability to leverage the strange behaviors of quantum particles in their information-processing capabilities. This makes QC well-suited for tackling immensely complex mathematical calculations that traditional machines cannot efficiently manage. You are not alone if you've been hearing more about QC recently. The tech community, investors, and government research organizations have b