Quantum Resource Estimation (QRE) is an essential aspect of quantum information processing and quantum technologies. It refers to the process of quantifying the resources (time, qubits, magic states, etc.) required for performing a given quantum computation or task. It is essential to have an accurate understanding of resource requirements to analyze the tradeoffs between the benefit/utility of performing quantum computations versus their cost. Costs can have wide-ranging impacts on investment decisions made by corporations, academia, research institutes, and governments. Building useful QRE tools and performing high-quality QRE research relies on strong connections among researchers with expertise in various subdomains of quantum computing. For example, algorithm developers benefit from realistic hardware assumptions rather than idealized models to direct their optimization; and hardware architecture design can be directed by requirements from algorithms analyzed to be most promising.
After the success of the first two editions of this workshop, this year we want to recreate a forum for sharing research and experience related to QRE issues, tools, and techniques with a stronger focus on applications of QRE. On top of the talks and panels discussion during the workshop, we also plan to organize a QRE-focused research challenge for students and young professionals prior to the conference and present the winning projects during the workshop.
10:00 - 11:30 Session 1: Algorithms
13:00 - 14:30 Session 2: Applications
15:00 - 16:30 Session 3: Panel & Grand Challenges
Chair: Matt Harrigan, Google
Program: TBD
Chair: Michał Stęchły, PsiQuantum
Program: TBD
Chair: Kevin Obenland, MIT LL
Program: TBD
TBD
PsiQuantum
Apollo Quantum
Microsoft
MIT Lincoln Labs