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FollowQIS@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
