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Quantum Computer Systems Lecture Series

A lecture series ranging from introductory to advanced research topics in quantum computing systems.

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Recent Lectures

84 | How Many Shots Does It Take? Rethinking Resource Allocation on Noisy Quantum Computers
Compilation & Optimization Prateek P. Kulkarni

84 | How Many Shots Does It Take? Rethinking Resource Allocation on Noisy Quantum Computers

This talk presents a noise-aware framework for allocating quantum circuit shots, reducing the execution cost, energy consumption, and estimation error of near-term quantum workloads.

83 | Building the FTQC Stack: Architectural Principles for Performance and Scalability in Fault-Tolerant Quantum Computing

83 | Building the FTQC Stack: Architectural Principles for Performance and Scalability in Fault-Tolerant Quantum Computing

This talk presents systems-level architectural principles and compiler techniques for improving cycle time, reducing cycles per gate, and lowering gate count in scalable fault-tolerant quantum computing.

82 | Can Quantum Mechanics and General Relativity Finally Unite?

82 | Can Quantum Mechanics and General Relativity Finally Unite?

This talk presents experiments that probe the overlap between quantum physics and general relativity, and discusses the prospect of definitive tests of the quantum nature of the gravitational field.

81 | Magic Gate Teleportation: Structure, Useful Resource States, and Simpler Feedforward

81 | Magic Gate Teleportation: Structure, Useful Resource States, and Simpler Feedforward

This talk develops a theory of magic gate teleportation, revealing structural properties that identify useful resource states for non-Clifford gates and simplify the feedforward operations required for fault-tolerant computation.

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Algorithms & Theory 17 Software Tools & Verification 13 Error Correction & Mitigation 9 Compilation & Optimization 9 Machine Learning & AI 8 Systems & Architecture 7 Hardware & Control 6 Applications 6 Networking & Communication 4 Physics & Simulation 3 General 2

About QuCS

QuCS aims to build basic quantum knowledge and introduce the latest research for audiences without quantum computing background but interested in learning. The series covers topics from quantum fundamentals to cutting-edge research in compilation, error correction, machine learning, and more.

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