Masoud Mohseni

To build quantum computers capable of solving industrial-scale computational problems, we need to identify and address all the scaling challenges that emerge when going from hundreds to millions of qubits. In this talk, I will explore how a tight integration of high-performance computing (HPC) with quantum computing (QC), across multiple layers of the stack can help address some of these challenges. I will address how one can distribute quantum workloads across multiple quantum processors (QPUs) without incurring exponential overheads via adaptive circuit knitting technique. This technique significantly reduces the exponential sample complexity typically associated with naïve circuit knitting approaches by choosing a low entanglement cut. I will also discuss its practical applications in distributed state preparation and quantum dynamics simulations