58 | Variational Quantum Semi-definite Programming
Solving optimization problems is a key task for which quantum computers could possibly provide a speedup over the best known classical algorithms.
51 | Design Automation for Quantum Computing
This talk will provide the full picture of design automation for quantum computing - from designing quantum algorithms and quantum circuits to quantum computing using physical quantum hardware.
46 | Numerical Methods of Optimal Quantum Control
At the heart of the next-level quantum technology like quantum computing lies the problem of actively controlling the dynamics of a quantum system.
38 | Pulse-based Variational Quantum Eigensolver and Pulse-Efficient Transpilation
State-of-the-art noisy digital quantum computers can only execute short-depth quantum circuits.
30 | Efficient Hamiltonian Reduction for Scalable Quantum Computing on Clique Cover/Graph Coloring Problems in SatCom
Clique cover and graph coloring are complementary problems which have many applications in wireless communications, especially in satellite communications (SatCom).
26 | Abstractions Are Bridges Toward Quantum Programming
In this talk, I present abstractions that help classical developers reason about the quantum world, with the goal of designing expressive and sound tools for quantum programming.
27 | Understanding Quantum Supremacy Conditions for Gaussian Boson Sampling with High Performance Computing
Recent quantum supremacy experiments demonstrated with boson sampling garnered significant attention, while efforts to perfect approximate classical simulation techniques challenge supremacy claims on different fronts.
23 | Software Tools for Analog Quantum Computing
Recent experimental results suggest that continuous-time analog quantum simulation would be advantageous over gate-based digital quantum simulation in the Noisy Intermediate-Size Quantum (NISQ) machine era.
22 | Noise Modeling of the IBM Quantum Experience
The influence of noise in quantum dynamics is one of the main factors preventing Noisy Intermediate-Scale Quantum (NISQ) devices from performing useful quantum computations.
20 | Learning and Training in Quantum Environments
Quantum computing presents fascinating new opportunities for various applications, including machine learning, simulation, and optimization.
18 | Enabling Deeper Quantum Compiler Optimization at High Level
A quantum compiler is one essential and critical component in a quantum computing system to deploy and optimize the quantum programs onto the underlying physical quantum hardware platforms.
16 | Distributed Quantum Computing
Quantum processing units (QPUs) have to satisfy highly demanding quantity and quality requirements on their qubits to produce accurate results for problems at useful scales.
13 | Enabling robust quantum computer system by understanding errors from NISQ machines
The growth of the need for quantum computers in many domains such as machine learning, numerical scientific simulation, and finance has urged quantum computers to produce more stable and less error-prone results.
