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QIS@Perlmutter Publications

Green’s function formulation of quantum defect embedding theory

QIS@Perlmutter Project: Quantum Computing for Materials Science: Simulation of Defects in Materials for Quantum Information Science, Marco Govoni, Argonne National Laboratory

Entanglement perspective on the quantum approximate optimization algorithm

QIS@Perlmutter Project: The Entanglement Barrier in the Quantum Approximate Optimization Algorithm, Matthew Reagor and Maxime Dupont, Rigetti

Quantum search on noisy intermediate-scale quantum devices

QIS@Perlmutter Project: Large-Scale Model-Based Optimization by Quantum Monte Carlo Integration, Kwangmin Yu, Brookhaven National Laboratory

Efficient Machine-Learning-based decoder for Heavy-Hexagonal QECC

QIS@Perlmutter Project: Divide and Conquer Approach to Machine Learning Based Decoders for the Surface Code, Ritajit Majumdar, Indian Statistical Institute

Error mitigated quantum circuit cutting

QIS@Perlmutter Project: Divide and Conquer Approach to Machine Learning Based Decoders for the Surface Code, Ritajit Majumdar, Indian Statistical Institute

QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation

QIS@PM Project: Scalable Noisy Quantum Circuit Simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory

Calibrating the Classical Hardness of the Quantum Approximate Optimization Algorithm

QIS@Perlmutter Project: The Entanglement Barrier in the Quantum Approximate Optimization Algorithm, Matthew Reagor and Maxime Dupont, Rigetti

Quantum multi-programming for Grover’s search

QIS@Perlmutter Project: Large-Scale Model-Based Optimization by Quantum Monte Carlo Integration, Kwangmin Yu, Brookhaven National Laboratory

Quantum machine learning with differential privacy

QIS@Perlmutter Project: Quantum deep learning for HEP data analysis, Shinjae Yoo, Brookhaven National Laboratory

Quantum simulations of Fermionic Hamiltonians with efficient encoding and ansatz schemes

QIS@Perlmutter Project: Quantum Computing for Materials Science: Simulation of Defects in Materials for Quantum information Science, Marco Govoni, Argonne National Laboratory

A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors

QIS@PM Project: Scalable Noisy Quantum Circuit Simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory

QCLAB++: Simulating Quantum Circuits on GPUs

QIS@Perlmutter Project: Benchmarking QCLAB++ on Perlmutter GPUs, R. Van Beeumen, Lawrence Berkeley National Laboratory

Fast quantum circuit cutting with randomized measurements

QIS@PM Project: Large-scale hybrid quantum tasking and simulation with PennyLane, Lee J, O’Riordan, Xanadu

Database of semiconductor point-defect properties for applications in quantum technologies

QIS@Perlmutter Project: First-principles simulation of spin qubits, Liang Tan, Lawrence Berkeley National Laboratory

All-silicon quantum light source by embedding an atomic emissive center in a nanophotonic cavity

QIS@Perlmutter Project: First-principles simulation of spin qubits, Liang Tan, Lawrence Berkeley National Laboratory

Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modelling over the Hamming Spectrum

QIS@PM Project: Scalable Noisy Quantum Circuit Simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory

Quantum Emitter Formation Dynamics and Probing of Radiation-Induced Atomic Disorder in Silicon

QIS@Perlmutter Project: First-principles simulation of spin qubits, Liang Tan, Lawrence Berkeley National Laboratory

Deep Quantum Circuit Simulations of Low-Energy Nuclear States

QIS@Perlmutter Project: Scalable noisy quantum circuit simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory

QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices

QIS@Perlmutter Project: Scalable noisy quantum circuit simulation through NWQSim, Ang Li, Pacific Northwest National Laboratory

A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks

QIS@Perlmutter Project: Quantum machine learning algorithms for scientific applications in high-energy physics and astrophysics (QML4SCI), Sergei Gleyzer, University of Alabama

ℤ2×ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks

QIS@Perlmutter Project: Quantum machine learning algorithms for scientific applications in high-energy physics and astrophysics (QML4SCI), Sergei Gleyzer, University of Alabama

First-Principles Investigation of Near-Surface Divacancies in Silicon Carbide

QIS@Perlmutter Project: Platforms for quantum information science: ab initio investigations of spin defects in insulating oxides and semiconductors, Giulia Galli, University of Chicago, Argonne National Laboratory

Simulating dirty bosons on a quantum computer

QIS@Perlmutter Project: Simulating Boson Localization with Quantum Computers, Lindsay Bassman Oftelie, Lawrence Berkeley National Laboratory

The generative quantum eigensolver (GQE) and its application for ground state search

QIS@Perlmutter Project: Generative quantum eigensolver, Alan Aspuru-Guzik, University of Toronto