Submissions for the IBM Q Prizes opens in January 2018.
Whether its PCs, smartphones or quantum computers, one fact remains consistent: the recipe for success relies heavily on building an engaged and thriving ecosystem.
For example, on 12 August 1981 when IBM introduced the IBM 5150 (eventually called the IBM PC) at a press conference in New York City it came prepackaged with third party technology including VisiCalc, a spreadsheet; EasyWriter, a word processor and a dot-matrix printer.
This was only possible because IBM opted to make the 5150 an “open architecture” product, meaning it had published a technical reference of the system’s circuit design and software source codes, so other companies, like VisiCorp, Information Unlimited Software and Epson, could develop software and build peripheral components. Making the PC open worked and by January 1983, IBM PCs were sold around the world — at its peak, an IBM PC sold at a rate of one every minute of every business day.
Here we are more than 30 years later and another technological revolution is underway — quantum computing. Quantum computing follows the “spooky” world of quantum mechanics, making it a completely new field for developers to write software for, while also presenting a new way to code.
To remove some of the hurdles of entering this new world, in 2016 IBM launched the IBM Q Experience, a cloud-based quantum computer available for free to anyone with a web browser and an internet connection. More than a year later a thriving community of nearly 60,000 users with 1.7 million quantum experiments and more than 35 third-party research publications has made the Q experience a great platform for education and research. Professors are even using it as a teaching tool in their classrooms, including Dr. Clément Javerzac-Galy, a doctoral assistant at one of top technical universities, the École polytechnique fédérale de Lausanne (EPFL) in Switzerland.
Javerzac-Galy said, “We are using the IBM Q Experience in the framework of our quantum information class. It’s fascinating for the students to be the first generation to use a quantum machine and it’s a tremendous tool to speed up the learning curve in quantum information. Things you would previously do in the past with a paper and pencil you can now do on a real machine.”
Quantum takes the prize
To encourage more teachers and students to take advantage of the IBM Q Experience and the IBM QISKit development platform, IBM Research is announcing today a number of prizes to encourage more of them to take the quantum leap. The prizes include:
IBM Teach Me Quantum Award – $10,000: Best university-level course-materials for a lecture series incorporating the IBM Q Experience and QISKit. (Submissions close 15 November 2018)
IBM Q Best Paper Award – $2,500 and invite to a quantum event at IBM Research: Highest-impact scientific paper by a master’s degree or PhD student or postdoctoral researcher that uses the IBM Q Experience and QISKit as a tool to achieve the presented results. (Submissions close 15 July 2018)
Teach Me QISKit Award – $1,000: Best interactive self-paced tutorial (single or multiple Jupyter Notebooks) that explains a specific focus topic in quantum computing using QISKit and the IBM Q Experience. (Submissions close 31 March 2018)
In addition, a quantum computer is only as useful as the software which can take advantage of it. A fourth prize is therefore being launched for software developers.
QISKit Developer Challenge – $5,000: Best solution to a specific challenge called: “Optimize to the Max.” The goal is to write a compiler code that takes an input quantum circuit and outputs an optimal circuit for the provided hardware topology. Input circuits are random products of gates from SU(4) applied to random pairs of qubits (< 20 qubits in total). Test circuits are given in the form of a directed acyclic graph and the goal is to map these circuits onto a qubit layout (coupling graph) and reduce the provided cost function as much as possible. (Submissions close 15 May 2018)
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.
What does programming for the not-so-distant quantum future look like? From November 9 to 30, more than 3,300 people from 85 countries applied for the 2,000 seats of the IBM Quantum Challenge to find out. As our cloud-accessible quantum systems continue to advance in scale and capability with better processors of larger number of qubits, […]
As we looked closer at the kinds of jobs our systems execute, we noticed a richer structure of quantum-classical interactions including multiple domains of latency. These domains include real-time computation, where calculations must complete within the coherence time of the qubits, and near-time computation, which tolerates larger latency but which should be more generic. The constraints of these two domains are sufficiently different that they demand distinct solutions.