research
∙
09/09/2023
Fast Simulation of High-Depth QAOA Circuits
Until high-fidelity quantum computers with a large number of qubits beco...
share
research
∙
07/25/2023
Fundamental causal bounds of quantum random access memories
Quantum devices should operate in adherence to quantum physics principle...
research
∙
03/20/2023
Supercomputing tensor networks for U(1) symmetric quantum many-body systems
Simulation of many-body systems is extremely computationally intensive, ...
research
∙
03/06/2023
Towards provably efficient quantum algorithms for large-scale machine-learning models
Large machine learning models are revolutionary technologies of artifici...
research
∙
01/30/2023
Complexity of Gaussian boson sampling with tensor networks
Gaussian boson sampling, a computational model that is widely believed t...
research
∙
09/07/2022
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation
One of the key problems in tensor network based quantum circuit simulati...
research
∙
06/07/2022
Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm
In this work, we compare the performance of the Quantum Approximate Opti...
research
∙
05/19/2022
Estimating the frame potential of large-scale quantum circuit sampling using tensor networks up to 50 qubits
We develop numerical protocols for estimating the frame potential, the 2...
research
∙
04/12/2022
Performance Evaluation and Acceleration of the QTensor Quantum Circuit Simulator on GPUs
This work studies the porting and optimization of the tensor network sim...
research
∙
06/29/2021
Importance of Diagonal Gates in Tensor Network Simulations
In this work we present two techniques that tremendously increase the pe...
research
∙
02/10/2021
Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers
Combinatorial optimization on near-term quantum devices is a promising p...
research
∙
11/25/2019
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
Quantum computing is a computational paradigm with the potential to outp...
research
∙
11/11/2019
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems
Quantum computing exploits basic quantum phenomena such as state superpo...
research
∙
10/22/2019
Multilevel Combinatorial Optimization Across Quantum Architectures
Emerging quantum processors provide an opportunity to explore new approa...
research
∙
10/10/2019
Evaluating Quantum Approximate Optimization Algorithm: A Case Study
Quantum Approximate Optimization Algorithm (QAOA) is one of the most pro...
research
∙
11/26/2018
Evaluation of Intel Memory Drive Technology Performance for Scientific Applications
In this paper, we present benchmark data for Intel Memory Drive Technolo...
research
∙
11/14/2018
Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression
In order to evaluate, validate, and refine the design of new quantum alg...
research
∙
10/01/2018