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QIS@Perlmutter Projects

Since November 2021, NERSC has awarded a total of 250,000 Perlmutter GPU node hours to 16 quantum information science (QIS) projects. The awards were made available through the NERSC QIS@Perlmutter program, with time allocated from the NERSC Director’s Reserve.

Function Evaluations with Far Fewer Circuit Repetitions

PROJECT PI: Nicolas Sawaya
INSTITUTION: Azulene Labs
AY: 2024

Quantum Biomarker Algorithms for Multimodal Cancer Data

PROJECT PI: Fred Chong
INSTITUTION: Infleqtion
AY: 2024

Iterative Qubits Management in a Quantum-Classic System

PROJECT PI: Ying Mao
INSTITUTION: Fordham University
AY: 2024

Simulation for Quantum Supremacy

PROJECT PI: Yuri Alexeev
INSTITUTION: Argonne National Laboratory
AY: 2024

High Performance Classical Simulation Bootstraps for Variational Quantum Algorithms

PROJECT PI: Gokul Ravi
INSTITUTION: University of Michigan
AY: 2024

Tensor Network Error Mitigation for Hybrid Quantum Chemistry Simulations

PROJECT PI: Boris Sokolov
INSTITUTION: Algorithmiq
AY: 2024

Massively Parallel Quantum Computer Simulation on Modern HPC Systems

PROJECT PI: Anastasiia Butko
INSTITUTION: Lawrence Berkeley National Laboratory
AY: 2024

Development of a Novel Variational Quantum Deep Neural Network Classifier and Its Application to Neurological Imaging Field

PROJECT PI: Emine Akpinar
INSTITUTION: Yildiz Technical University
AY: 2024

Quantum Precision: ALD-Driven Modeling for Superconducting Qubit Fabrication

PROJECT PI: Ridwan Sakidja
INSTITUTION: Missouri State University
AY: 2024

Quantum Computing for Battery Materials: Scaling the Quantum Circuit Simulations with NVIDIA CUDA Quantum

PROJECT PI: Marwa Farag
INSTITUTION: NVIDIA
AY: 2024

Quantum machine learning algorithms for scientific applications in high-energy physics and astrophysics (QML4SCI)

PROJECT PI: Sergei Gleyzer
INSTITUTION: University of Alabama
AY: 2023

Excitons, spins, and phonons in defects for QIS

PROJECT PI: David Strubbe
INSTITUTION: UC Merced
AY: 2023

Combinatorial optimization on the next generation of quantum devices

PROJECT PI: Shantenu Jha
INSTITUTION: Brookhaven National Laboratory
AY: 2023

Noise-aware quantum circuit optimization

PROJECT PI: Samah Saeed
INSTITUTION: City College of New York, University of New York
AY: 2023

Large-scale simulations of quantum error correcting codes under realistic noise

PROJECT PI: Omid Khosravani
INSTITUTION: Duke University
AY: 2023

First-principles simulation of spin qubits

PROJECT PI: Liang Tan
INSTITUTION: Lawrence Berkeley National Laboratory
AY: 2023

Scaling up quantum computing methods for carbon capture applications

PROJECT PI: Jonathan Owens
INSTITUTION: GE Research
AY: 2023

Platforms for quantum information science: ab initio investigations of spin defects in insulating oxides and semiconductors

PROJECT PI: Giulia Galli
INSTITUTION: University of Chicago, Argonne National Laboratory
AY: 2023

A pathway towards fault-tolerant quantum computing: foundation to application

PROJECT PI: Guillaume Dauphinais
INSTITUTION: Xanadu Quantum Technologies Inc
AY: 2023

Quantum simulation of equilibrium and non-equilibrium nucleation physics n Rydberg systems

PROJECT PI: Pedro Lopes
INSTITUTION: QuEra Computing
AY: 2023

Evaluation of quantum authentication schemas to establish user-centered security solutions

PROJECT PI: Sanchari Das
INSTITUTION: University of Denver
AY: 2022

Quantum computing for materials science: simulation of defects in materials for quantum information science

PROJECT PI: Marco Govoni
INSTITUTION: Argonne National Laboratory
AY: 2022

Scalable noisy quantum circuit simulation through NWQSim

PROJECT PI: Ang Li
INSTITUTION: Pacific Northwest National Laboratory (PNNL)
AY: 2022

Divide and conquer approach to machine learning based decoders for surface code

PROJECT PI: Ritajit Majumdar
INSTITUTION: Indian Statistical Institute
AY: 2022

Maximum likelihood estimation of parametrized quantum noise models

PROJECT PI: Vincent R. Pascuzzi
INSTITUTION: Brookhaven National Laboratory
AY: 2022

Surrogate models for VQAs

PROJECT PI: Wim Lavrijsen
INSTITUTION: Lawrence Berkeley National Laboratory
AY: 2022

Quantum circuit synthesis via large-scale randomized optimizations

PROJECT PI: Yu-Hang Tang
INSTITUTION: Lawrence Berkeley National Laboratory
AY: 2022

Large-scale hybrid quantum tasking and simulation with PennyLane

PROJECT PI: Lee J. O'Riordan
INSTITUTION: Xanadu Quantum Technologies Inc.
AY: 2022

Quantum deep learning for HEP data analysis

PROJECT PI: Shinjae Yoo
INSTITUTION: Brookhaven National Laboratory
AY: 2022

Implementation of large qubitization iterates on a tensor network quantum simulator

PROJECT PI: Nathan Fitzpatrick
INSTITUTION: Cambridge Quantum
AY: 2022

The entanglement barrier in the quantum approximate optimization algorithm

PROJECT PI: Matthew Reagor
INSTITUTION: Rigetti Computing
AY: 2022

Benchmarking QCLAB++ on Perlmutter GPUs

PROJECT PI: Roel Van Beeumen
INSTITUTION: Lawrence Berkeley National Laboratory
AY: 2022

SImulating boson localization with quantum computers

PROJECT PI: Lindsay Bassmen
INSTITUTION: Lawrence Berkeley National Laboratory
AY: 2022

Large-scale model-based optimization by quantum Monte-Carlo integration

PROJECT PI: Kwangmin Yu
INSTITUTION: Brookhaven National Laboratory
AY: 2022

Quantum-inspired approaches for full configuration interaction on Perlmutter

PROJECT PI: Robert M. Parrish
INSTITUTION: QC Ware Corporation
AY: 2022

Optimization and Scalability of Tensor Network Quantum Simulator QTensor on GPUs

PROJECT PI: Yuri Alexeev
INSTITUTION: Argonne National Laboratory
AY: 2022

Scalable Quantum Circuit Simulation and Fidelity Estimation

PROJECT PI: Kaitlin Smith
INSTITUTION: ColdQuanta
AY: 2022

A Scalable and Self-Calibrating Quantum Circuit Simulator

PROJECT PI: Kaitlin Smith
INSTITUTION: ColdQuanta
AY: 2022