Quantum
Balancing the Cost of Utility-Scale Quantum Computing
In Lecture 6 of Building the Modern Quantum Architecture, Dr. Matthias Troyer explains how to estimate the cost of a quantum computation by considering the number of qubits required, qubit type, gate speed, and other factors. The overall cost determines which problems we can solve, how we formulate them, and ultimately how we build quantum machines.
How big does a quantum computer need to be to solve a real problem? Dr. Matthias Troyer explains how quantum resource estimation guides full-stack design.
Discover how quantum computing will draw on hard-won HPC insights to achieve speed, scalability, and performance for the next era of computing.
How do we translate quantum instructions all the way down to the control signals for physical qubits—and what tradeoffs must we make as we push toward utility scale?
Dive into these additional resources to continue your quantum journey.