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
The computational power of random quantum circuits in arbitrary geometries
QIS@Perlmutter Project: Simulation for Quantum Supremacy, Yuri Alexeev, Argonne National Laboratory