research
∙
08/29/2023
Probing Quantum Telecloning on Superconducting Quantum Processors
Quantum information can not be perfectly cloned, but approximate copies ...
share
research
∙
08/29/2023
Lower Bounds on Number of QAOA Rounds Required for Guaranteed Approximation Ratios
The quantum alternating operator ansatz (QAOA) is a heuristic hybrid qua...
research
∙
06/28/2023
Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation
Quantum Volume is a full-stack benchmark for near-term quantum computers...
research
∙
06/05/2023
High-Round QAOA for MAX k-SAT on Trapped Ion NISQ Devices
The Quantum Alternating Operator Ansatz (QAOA) is a hybrid classical-qua...
research
∙
01/26/2023
The Quantum Alternating Operator Ansatz for Satisfiability Problems
We comparatively study, through large-scale numerical simulation, the pe...
research
∙
01/02/2023
Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers
Quantum annealing (QA) and Quantum Alternating Operator Ansatz (QAOA) ar...
research
∙
10/18/2022
Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones
Although perfect copying of an unknown quantum state is not possible, ap...
research
∙
10/06/2022
Scalable Experimental Bounds for Entangled Quantum State Fidelities
Estimating the state preparation fidelity of highly entangled states on ...
research
∙
10/03/2022
Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection
Monitoring of industrial processes is a critical capability in industry ...
research
∙
07/20/2022
Short-Depth Circuits for Dicke State Preparation
We present short-depth circuits to deterministically prepare any Dicke s...
research
∙
04/30/2022
Quantum Telecloning on NISQ Computers
Due to the no-cloning theorem, generating perfect quantum clones of an a...
research
∙
02/19/2022
Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data
The need for efficient and scalable big-data analytics methods is more e...
research
∙
02/16/2022
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques
Recent years have seen the adoption of Machine Learning (ML) techniques ...
research
∙
02/01/2022
Evidence for Super-Polynomial Advantage of QAOA over Unstructured Search
We compare the performance of several variations of the Quantum Alternat...
research
∙
12/23/2021
A Divide-and-Conquer Approach to Dicke State Preparation
We present a divide-and-conquer approach to deterministically prepare Di...
research
∙
06/25/2021
Threshold-Based Quantum Optimization
We propose and study Th-QAOA (pronounced Threshold QAOA), a variation of...
research
∙
04/11/2021
PPT-Multicore: Performance Prediction of OpenMP applications using Reuse Profiles and Analytical Modeling
We present PPT-Multicore, an analytical model embedded in the Performanc...
research
∙
03/19/2021
PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace
Performance modeling of parallel applications on multicore processors re...
research
∙
01/08/2021
QAOA-based Fair Sampling on NISQ Devices
We study the status of fair sampling on Noisy Intermediate Scale Quantum...
research
∙
10/08/2020
Machine Learning Enabled Scalable Performance Prediction of Scientific Codes
We present the Analytical Memory Model with Pipelines (AMMP) of the Perf...
research
∙
05/30/2020
Grover Mixers for QAOA: Shifting Complexity from Mixer Design to State Preparation
We propose GM-QAOA, a variation of the Quantum Alternating Operator Ansa...
research
∙
02/18/2020
Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs
GPUs are prevalent in modern computing systems at all scales. They consu...
research
∙
07/29/2019
Modeling Shared Cache Performance of OpenMP Programs using Reuse Distance
Performance modeling of parallel applications on multicore computers rem...
research
∙
05/21/2019
Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs
The last decade has seen a shift in the computer systems industry where ...
research
∙
05/21/2019
Instructions' Latencies Characterization for NVIDIA GPGPUs
The last decade has seen a shift in the computer systems industry where ...
research
∙
04/15/2019
Deterministic Preparation of Dicke States
The Dicke state |D_k^n〉 is an equal-weight superposition of all n-qubit ...
research
∙
01/04/2019