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.
A key pillar for deploying IBM Quantum systems into the cloud is the ability to read out their quantum states with high fidelity in real time. This critical capability is made possible using special kinds of low-noise microwave amplifiers, known as quantum-limited amplifiers.
Last year we at IBM declared that in order to achieve quantum advantage within the next decade, we will need to at least double the Quantum Volume of our quantum computing systems every year. What better way to start this first full week of 2020 than by announcing that we have added our fourth data point to our progress road map and achieved a system demonstrating Quantum Volume of 32.
Electric vehicles have an Achilles Heel: the capacity and speed-of-charging of their batteries. A quantum computing breakthrough by researchers at IBM and Daimler AG could help tackle this challenge. We used a quantum computer to model the dipole moment of three lithium-containing molecules, which brings us one step closer the next-generation lithium sulfur (Li-S) batteries that would be more powerful, longer lasting and cheaper than today’s widely used lithium ion batteries.
IBM quantum computing hardware comes to Japan – thanks to the Japan-IBM Quantum Partnership, a new initiative led by IBM and the University of Tokyo to advance quantum computing in Japan. The partnership follows a similar one in Germany, announced in September 2019. Both deals see IBM’s recently released commercial quantum computer IBM Q System One […]
Our newest freely available quantum computing system takes one more step toward bringing the lab to the cloud. It features pulse-level control, and when coupled with today’s release of the new version of Qiskit (version 0.14), any IBM Quantum Experience user now has the ability to construct schedules of pulses and execute them. The role of experimental quantum physicist is now available to anyone with internet access.
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 Q 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.
We are pleased to announce our support to grow the community of quantum enthusiasts and explorers, by partnering with the Unitary Fund to provide funding for grants and priority access to certain IBM Q systems.
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.
In the paper “Coherent spin manipulation of individual atoms on a surface,” published in the journal Science, our team demonstrated the use of single atoms as qubits for quantum information processing. This is the first time a single-atom qubit has been achieved using a Scanning Tunneling Microscope.