Software reliant on this nascent technology, one rooted in the physical laws of matter at the smallest scales, could soon revolutionize computing forever.
In a new preprint now on arXiv, “A Threshold for Quantum Advantage in Derivative Pricing”, our quantum research teams at IBM and Goldman Sachs provide the first detailed estimate of the quantum computing resources needed to achieve quantum advantage for derivative pricing – one of the most ubiquitous calculations in finance.
Scientists at Mitsubishi Chemical, a member of the IBM Quantum Hub at Keio University in Japan, reached out to our team about experimenting with new approaches to error mitigation and novel quantum algorithms to address these very challenges. In the new arXiv preprint, “Applications of Quantum Computing for Investigations of Electronic Transitions in Phenylsulfonyl-carbazole TADF Emitters,” we – along with collaborators at Keio University and JSR - describe quantum computations of the “excited states,” or high energy states, of industrial chemical compounds that could potentially be used in the fabrication of efficient organic light emitting diode (OLED) devices.
A recent panel discussion on “The Promise of Quantum for Industry” at the annual IBM Quantum Summit homed in on several business challenges that quantum computers are well-suited to tackle.
IBM Quantum is a platinum sponsor of, and exhibitor at, the inaugural IEEE Quantum Week, a virtual event from October 12-16 that will help you learn about the industry, its opportunities, and where it is going. IEEE Quantum, an IEEE Future Directions Initiative on quantum computing, is bridging the gap between the science of quantum computing and the development of an industry surrounding it.
The need for a future workforce with a robust set of quantum computing skills drives our support for Q2Work, the National Science Foundation-funded initiative led by the University of Illinois and the University of Chicago to provide quantum education, programs, tools, and curricula to K-12 students.
Perhaps more than any technology before it, quantum computing will create a deep disparity between first movers and fast followers. That was the assessment a panel of academics, entrepreneurs and quantum computing experts at the July 9 virtual roundtable, “The Future of Quantum Software Development.” Watch the replay, here.
Recent research by IBM and University of Notre Dame serves as a new use case for quantum computing, showing that qubit noise, typically an impediment to quantum computer use, can actually be an advantage over a classical computer for chemical simulations.
At the Q2B 2019 Conference, IBM announced that Stanford University’s Q-Farm initiative, a collaborative with the SLAC National Accelerator Laboratory, has joined the IBM Quantum Network. As a member organization, Q-FARM will collaborate with IBM to accelerate joint research in quantum computing and develop curricula to help prepare students for careers that will be influenced by this next era of computing across science and business.
IBM Research is embarking on a multi-year, collaborative effort with Wells Fargo focused on research and learning that is intended to enhance the company’s artificial intelligence and quantum computing capabilities. Together with IBM Research, Wells Fargo plans to accelerate its learnings to inform innovation initiatives that reimagine the future of financial services in a way that is designed to deliver customer experiences that are simple, fast, safe and convenient.
Qiskit has the flexibility to target different underlying quantum hardware with minimal additions to its code base. To demonstrate this, we have recently added support in Qiskit for trapped ion-based quantum computing devices, and enabled access to the five-qubit trapped ion device at the University of Innsbruck, hosted by Alpine Quantum Technologies.
The IBM Quantum team is committed to making our science more approachable by investing heavily in the education to support this growing community and establishing the emerging technology as the next generation of computing. We need more students, educators, developers, and domain experts with “quantum ready” skills. This is why our team is proud to release new educational resources and tools while also increasing the capacity and capability of our IBM Quantum systems.