Explore 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.  

More from the series

Part 3: Quantum Resource Estimation

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.

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Part 4: High-performance quantum computing

Discover how quantum computing will draw on hard-won HPC insights to achieve speed, scalability, and performance for the next era of computing.

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Part 5: Scalable quantum architecture

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?

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Expand your knowledge

Dive into these additional resources to continue your quantum journey.

Quantum for chemistry

Microsoft combines HPC, AI models, and quantum capabilities to achieve highly accurate chemical predictions.

Tools

Microsoft Quantum learning resources help prepare you for a quantum future. 

Education & resources

Resources to help you learn today's foundational quantum systems and tomorrow's scaled quantum supercomputers.