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 67 by Sebastian Feld (Delft University of Technology)
Bridging Hardware and Software: Optimizing Quantum Compilation and Benchmarking for Scalable Quantum Systems
Lecture 64 by Tzu-Hsuan Huang (National Tsing Hua University)
Decoder for quantum error correction codes: from the perspective of classical error correction codes
Lecture 63 by Ivana Nikoloska (Eindhoven University of Technology)
Engineer’s Guide to Machine 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