Quantum Machine Learning II

Presentations

• Harnessing multimode nonlinearity for quantum state measurement using quantum reservoir computing

  ORAL

  March 9, 2023, 11:30 AM – March 9, 2023, 11:42 AM

  Publication: arXiv: 2110.13849

  Presenters

  • Saeed A Khan

    • Princeton University

  Authors

  • Saeed A Khan

    • Princeton University

  • Fangjun Hu

    • Princeton University

  • Gerry Angelatos

    • Princeton

  • Michael J Hatridge

    • University of Pittsburgh

  • Hakan E Tureci

    • Princeton University

  View abstract →

• Investigating trainability of parameters in the Snap-Displacement protocol of a Qudit system.

  ORAL

  March 9, 2023, 11:42 AM – March 9, 2023, 11:54 AM

  Presenters

  • Oluwadara Ogunkoya

    • Fermilab
    • Fermi National Accelerator Laboratory

  Authors

  • Oluwadara Ogunkoya

    • Fermilab
    • Fermi National Accelerator Laboratory

  • Doga M Kurkcuoglu

    • Fermilab
    • Fermi National Accelerator Laboratory

  • Kirsten Morris

    • University of Nebraska-Lincoln

  • Jasmine Panthee

    • Illinois Institute of Technology, Chicago IL, USA

  View abstract →

• Hopfield Neural Network implementation with 3-SAT and Grover’s Algorithm

  ORAL

  March 9, 2023, 11:54 AM – March 9, 2023, 12:06 PM

  Publication: L. Valdez, M. Alamaniotis, A. Heifetz, "Anomaly Detection in Gamma Spectra Using Hopfield Neural Network with B-SAT and Grover's Algorithm on a Quantum Computing Simulator," Argonne National Laboratory ANL/NSE-22/78 (2022).

  Presenters

  • Luis A Valdez

    • University of Texas at San Antonio

  Authors

  • Luis A Valdez

    • University of Texas at San Antonio

  • Alexander Heifetz

    • Argonne National Laboratory

  • Miltiadis Alamaniotis

    • University of Texas at San Antonio

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• Solving Optimization Problems with Continuous Variables within the Generator-Enhanced Optimization Framework

  ORAL

  March 9, 2023, 12:06 PM – March 9, 2023, 12:18 PM

  Presenters

  • Vladimir Vargas-Calderón

    • Zapata Computing Inc

  Authors

  • Vladimir Vargas-Calderón

    • Zapata Computing Inc

  • Yudong Cao

    • Zapata Computing Inc
    • Zapata Computing

  • Alejandro Perdomo-Ortiz

    • Zapata Computing Inc
    • Zapata Computing

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• Quantum Reservoir Computing Approach to Error-Mitigated Compilation

  ORAL

  March 9, 2023, 12:18 PM – March 9, 2023, 12:30 PM

  Presenters

  • Davide Venturelli

    • NASA QuAIL - USRA

  Authors

  • Davide Venturelli

    • NASA QuAIL - USRA

  • Doga M Kurkcuoglu

    • Fermilab
    • Fermi National Accelerator Laboratory

  • Nischay Suri

    • NASA QuAIL - USRA

  • Silvia Zorzetti

    • Fermilab

  • Alessandro Berti

    • SQMS - University of Pisa

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• An analog quantum variational embedding classifier

  ORAL

  March 9, 2023, 12:30 PM – March 9, 2023, 12:42 PM

  Presenters

  • Rui Yang

    • University of Waterloo

  Authors

  • Rui Yang

    • University of Waterloo

  • Samuel Bosch

    • Massachusetts Institute of Technology

  • Bobak Kiani

    • Massachusetts Institute of Technology MIT

  • Seth Lloyd

    • Massachusetts Institute of Technology

  • Adrian Lupascu

    • University of Waterloo

  View abstract →

• Handling Privacy-sensitive Clinical Data with Federated Quantum Machine Learning

  ORAL

  March 9, 2023, 12:42 PM – March 9, 2023, 12:54 PM

  Presenters

  • Amandeep S Bhatia

    • Purdue university

  Authors

  • Amandeep S Bhatia

    • Purdue university

  • Sabre Kais

    • Purdue University

  • Muhammad A Alam

    • Purdue University

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• Adiabatic Quantum Linear Regression

  ORAL

  March 9, 2023, 12:54 PM – March 9, 2023, 1:06 PM

  Publication: Date, Prasanna and Thomas Potok. "Adiabatic quantum linear regression." Scientific reports 11, no. 1 (2021): 1-10.

  Presenters

  • Prasanna Date

    • Oak Ridge National Lab
    • Oak Ridge National Laboratory

  Authors

  • Prasanna Date

    • Oak Ridge National Lab
    • Oak Ridge National Laboratory

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• Quantum classical algorithm for solving the Hubbard model via the dynamical mean-field theory.

  ORAL

  March 9, 2023, 1:06 PM – March 9, 2023, 1:18 PM

  Presenters

  • Anshumitra Baul

    • Louisiana State University

  Authors

  • Anshumitra Baul

    • Louisiana State University

  • Juana Moreno

    • Louisiana State University

  • Ka-Ming Tam

    • Louisiana State University

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• Digital quantum simulation of Floquet symmetry-protected topological phases

  ORAL

  March 9, 2023, 1:18 PM – March 9, 2023, 1:30 PM

  Publication: Xu Zhang, Wenjie Jiang, Jinfeng Deng*, et.al.; Nature,607:468–473 (2022)

  Presenters

  • Wenjie Jiang

    • Tsinghua University

  Authors

  • Wenjie Jiang

    • Tsinghua University

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• Iteratively-Layered Variational Quantum Eigensolver with Shallow Ansatz Circuits

  ORAL

  March 9, 2023, 1:30 PM – March 9, 2023, 1:42 PM

  Publication: Long, Christopher K, Kieran Dalton, Crispin Barnes, David Arvidsson-Shukur, and Normann Mertig. Ms. Iteratively Layered Variational Quantum Eigensolver. Cambridge, 2022. In preparation
  
  Long, Christopher Kieran. "Faster, Shallower, More Accurate Methods for Quantum Computational Chemistry." Supervisor: David Arvidsson-Shukur, 2022. Master's Thesis University of Cambridge

  Presenters

  • Christopher K Long

    • University of Cambridge

  Authors

  • Christopher K Long

    • University of Cambridge

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• Entanglement detection with deep neural networks

  ORAL

  March 9, 2023, 1:42 PM – March 9, 2023, 1:54 PM

  Presenters

  • Daniel Manzano

    • University of Granada

  Authors

  • Daniel Manzano

    • University of Granada

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• Elivagar: Resource-efficient Quantum Circuit Architecture Search Guided by Quantum Noise

  ORAL

  March 9, 2023, 1:54 PM – March 9, 2023, 2:06 PM

  Presenters

  • Sashwat S Anagolum

    • The Pennsylvania State University

  Authors

  • Yunong Shi

    • Amazon

  • Sashwat S Anagolum

    • The Pennsylvania State University

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• VQE-generated dataset for machine learning with possible quantum advantage

  ORAL

  March 9, 2023, 2:06 PM – March 9, 2023, 2:18 PM

  Presenters

  • Akimoto Nakayama

    • Osaka University

  Authors

  • Akimoto Nakayama

    • Osaka University

  • Leonardo Placidi

    • Osaka University

  • Kosuke Mitarai

    • QIQB, Osaka University; Osaka University; JST PRESTO
    • Osaka University, QIQB, JST PRESTO
    • Osaka University
    • osaka university graduate school of engineering science

  • Keisuke Fujii

    • QIQB, Osaka University; Osaka University; RIKEN Center for Quantum Computing
    • Osaka University/ RIKEN RQC
    • Osaka University, QIQB, RIKEN
    • Osaka University
    • osaka university graduate school of engineering science

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• Generative Modeling with Quantum Neurons

  ORAL

  March 9, 2023, 2:18 PM – March 9, 2023, 2:30 PM

  Publication: Gili et al. Introducing Non-Linear Activations into Quantum Generative Models (2022) arXiv: 2205.14595

  Presenters

  • Kaitlin M Gili

    • University of Oxford

  Authors

  • Kaitlin M Gili

    • University of Oxford

  • Mykolas Sveistrys

    • FU Berlin

  • Rohan Kumar

    • University of Chicago

  • Aliza Siddiqui

    • Louisiana State University

  • Chris J Ballance

    • University of Oxford

  View abstract →