# Quantum Computer Systems

Lecture Series

Organized by Zhiding Liang (Notre Dame) and Hanrui Wang (MIT)

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## Quantum Knowledge Worth Spreading

A quantum computer system lecture series from introduction to advanced research topics. Aiming to build basic quantum knowledge and introduce latest research for the audience without quantum computing background but interested in.

## Lecture 63 by Ivana Nikoloska (Eindhoven University of Technology)

Engineer’s Guide to Machnine Learning with Quantum Computers

## Lecture 62 by Yuxuan Du (Nanyang Technological University)

Multimodal Learning for Cross-Platform Verification in Early-Stage Quantum Computing

## Lecture 61 by Kanad Basu (University of Texas at Dallas)

Efficient Quantum Verification Approaches

## Lecture 60 by Chunhao Wang (Pennsylvania State University)

Quantum algorithms for simulating the dynamics of open quantum systems

## Lecture 59 by Shaolun Ruan (Singapore Management University)

Achieve Explanable Quantum Computing Using Visualization

## Lecture 56 by Korbinian Kottmann (Xanadu)

ODEgen: Analytic Gradients of Quantum Pulse Programs

## Lecture 54 by Prof. Yufei Ding (UCSD)

Quantum Computing Systems: Challenges and Opportunities

## Lecture 53 by Dr. Weitang Li (Tencent Quantum Lab)

Quantum Computational Chemistry: Variational Quantum Eigensolver and the Design of Ansatz

## Lecture 50 by Mitch Thornton (Southern Methodist University)

Quantum Oracle Synthesis with an Application to QRNG

## Lecture 49 by Archana Kamal (University of Massachusetts Lowell)

Quantum Reservoir Engineering for Fast and Scalable Entanglement Stabilization

## Lecture 48 by Evan McKinney (Pittsburgh)

Quantum Circuit Decomposition and Routing Collaborative Design

## Lecture 47 by Daniel Silver (Northeastern)

Quantum Machine Learning on Current Quantum Computers

## Lecture 46 by Dr. Michael Goerz (U.S. Army Research Lab)

Numerical Methods of Optimal Quantum Control

## Lecture 45 by Tianyi Hao (UW Madison)

Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing

## Lecture 44 by Ricky Young (QBraid) and Mert Esencan (Icosa Computing)

Quantum-Inspired Optimization for Real-World Trading by Icosa powered by qBraid

## Lecture 43 by Prof. Zheng (Eddy) Zhang (Rutgers)

A Structured Method for Compilation of QAOA Circuits in Quantum Computing

## Lecture 42 by Prof. Zichang He (JPMorgan)

Align or Not Align? Design Quantum Approximate Operator Ansatz (QAOA) with Applications in Constrained Optimization

## Lecture 41 by Prof. Giulio Chiribella (University of Hong Kong)

The Nonequilibrium Cost of Accuracy

## Lecture 40 by Dr. Ruslan Shaydulin (JPMorgan)

Parameter Setting in Quantum Approximate Optimization of Weighted Problems

## Lecture 38 by Dr. Daniel Egger (IBM)

Pulse-based Variational Quantum Eigensolver and Pulse-Efficient Transpilation

## Lecture 37 by Dr. Ji Liu (Argonne National Laboratory)

Elevating Quantum Compiler Performance through Enhanced Awareness in the Compilation Stages

## Lecture 36 by Dr. Samuel Yen-Chi Chen (Wells Fargo)

Hybrid Quantum-Classical Machine Learning with Applications

## Lecture 35 by Prof. Zhu Han (Houston)

Hybrid Quantum-Classic Computing for Future Network Optimization

## Lecture 34 by Zhirui Hu (George Mason)

Optimize Quantum Learning on Near-Term Noisy Quantum Computers

## Lecture 32 by Prof. Yuan Feng (University of Technology Sydney)

Hoare logic for verification of quantum programs

## Lecture 31 by Dr. Marco Pistoia (JPMorgan)

Quantum Computing and Quantum Communication in the Financial World

## Lecture 30 by Dr. Thinh Dinh (Vietnam National University)

Efficient Hamiltonian Reduction for Scalable Quantum Computing on Clique Cover/Graph Coloring Problems in SatCom

## Lecture 29 by Prof. He Li (Southeast University (China))

Rethinking Most-significant Digit-first Arithmetic for Quantum Computing in NISQ Era

## Lecture 28 by Dr. Naoki Kanazawa (IBM Quantum)

Pulse Control for Superconducting Quantum Computers

## Lecture 27 by Minzhao Liu (UChicago)

Understanding Quantum Supremacy Conditions for Gaussian Boson Sampling with High Performance Computing

## Lecture 23 by Yuxiang Peng (University of Maryland)

Software Tools for Analog Quantum Computing

## Lecture 21 by Prof. Jun Qi (Fudan)

Quantum Machine Learning: Theoretical Foundations and Applications on NISQ Devices

## Lecture 20 by Prof. Mohsen Heidari (IU, Bloomington)

Learning and Training in Quantum Environments

## Lecture 18 by Prof. Gushu Li (UPenn)

Enabling Deeper Quantum Compiler Optimization at High Level

## Lecture 17 by Prof. Tirthak Patel (Rice)

Developing Robust System Software Support for Quantum Computers

## Lecture 14 by Bochen Tan (UCLA)

Compilation for Near-Term Quantum Computing: Gap Analysis and Optimal Solution

## Lecture 13 by Prof. Guan Qiang (Kent State)

Enabling robust quantum computer system by understanding errors from NISQ machines

## Lecture 11 by Prof. Prineha Narang (Harvard)

Building Blocks of Scalable Quantum Information Science

## Lecture 10 by Yilian Liu (Cornell)

Solving Nonlinear Partial Differential Equations using Variational Quantum Algorithms on Noisy Quantum Computers

## Lecture 8 by Dr. Gokul Ravi (UChicago)

Classical Support and Error Mitigation for Variational Quantum Algorithms

## Lecture 5 by Prof. Robert Wille (Technische Universität München)

Design Automation and Software Tools for Quantum Computing

## Lecture 1 by Prof. Yongshan Ding (Yale)

Software and Algorithmic Approaches to Quantum Noise Mitigation: An Overview