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.”
The group, including Dr. Prineha Narang, CTO and co-founder, Aliro Technologies, and Assistant Professor at the John A. Paulson School of Engineering and Applied Sciences at Harvard University, William “whurley” Hurley, CEO and founder of Strangeworks, Dr. Blake Johnson, Control Systems Delivery Lead, IBM Quantum, and moderated by Jeffrey Hammond, Forrester’s Vice President, Principal Analyst Serving CIO Professionals, discussed the need for intuitive application development tools, when quantum advantage might arrive and what it will look like when it does.
When we began our current line of investigation, the goal was to study the structural property of the Clifford group, describing a set of transformations that generate entanglement, play an important role in quantum computing error correction, and are used in (randomized) benchmarking. In a series of one-thing-leads-to-another findings, however, we ended up discovering a new mathematical proof of quantum advantage – the elusive threshold at which quantum computers outperform classical machines in certain use cases.
The ability to harness quantum-mechanical phenomena such as superposition and entanglement to perform computation obviously poses a number of difficulties. Add in the need to make these systems perform meaningful work, and you’ve raised the stakes considerably. Creating a pipeline of talented, well-trained academics and professionals who can meet those challenges was the subject of IBM’s July 28 virtual roundtable, “How to Build a Quantum Workforce.” Watch the replay, here.
IBM recently launched several initiatives to help inspire new students and begin building tomorrow’s quantum computing workforce. Our Quantum Educators program, in particular, provides professors and students with access to IBM quantum computers as well as the latest learning resources we’ve developed to help them get started programming and experimenting on quantum computers.