Adiabatic Quantum Computation and Quantum Annealing: Tunneling, Speedup and Noise Effects
FOCUS · C45 ·
Presentations
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Tunneling and Speedup in Permutation-Invariant Quantum Optimization Problem
COFFEE_KLATCH · Invited
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Authors
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Tameem Albash
- Univ of Southern California
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Understanding Quantum Tunneling through Quantum Monte Carlo Simulations
ORAL
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Authors
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Sergio Boixo
- Google Inc.
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Sergei Isakov
- Google Inc.
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Guglielmo Mazzola
- Swiss Federal Institute of Technology in Zurich
- ETH
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Vadim Smelyanskiy
- Google Inc.
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Zhang Jiang
- Nasa Ames
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Hartmut Neven
- Google Inc.
- Google Quantum AI Lab
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Matthias Troyer
- ETH Zurich
- ETH Zürich
- Swiss Federal Institute of Technology in Zurich
- Theoretische Physik, ETH Zurich, 8093 Zurich, Switzerland
- ETH
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Coupled Quantum Fluctuations and Quantum Annealing
ORAL
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Authors
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Layla Hormozi
- Massachusetts Institute of Technology
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Jamie Kerman
- MIT Lincoln Laboratory
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Performance of error suppresion schemes for adiabatic quantum computation in the presence of Markovian noise
ORAL
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Authors
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Milad Marvian
- None
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Daniel Lidar
- University of Southern California
- Univ. of Southern California
- None
- Univ of Southern California
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Coping with noise in programmable quantum annealers
ORAL
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Authors
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Alejandro Perdomo-Ortiz
- University of California Santa Cruz
- NASA/Ames Res Ctr
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Does finite-temperature decoding deliver better optima for noisy Hamiltonians?
ORAL
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Authors
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Andrew J. Ochoa
- Texas A\&M University
- Department of Physics and Astronomy, Texas A\&M University
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Kohji Nishimura
- Department of Physics, Tokyo Institute of Technology
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Hidetoshi Nishimori
- Department of Physics, Tokyo Institute of Technology
- Tokyo Institute of Technology
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Helmut G. Katzgraber
- Texas A&M University
- Department of Physics and Astronomy, Texas A\&M University
- Texas A\&M University
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Estimation of effective temperatures in a quantum annealer: Towards deep learning applications
ORAL
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Authors
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John Realpe-G\'omez
- NASA/Ames Res Ctr
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Marcello Benedetti
- NASA/Ames Res Ctr
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Alejandro Perdomo-Ortiz
- University of California Santa Cruz
- NASA/Ames Res Ctr
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Hard scheduling problems for early quantum annealer
ORAL
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Authors
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ZHIHUI WANG
- NASA Quantum Artificial Intelligence Laboratory; Univ Space Research Assn
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Tony Tran
- NASA Quantum Artificial Intelligence Laboratory
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Bryan O'Gorman
- NASA Quantum Artificial Intelligence Laboratory
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Minh Do
- NASA Ames Research Center
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Jeremy Frank
- NASA Ames Research Center
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Eleanor Rieffel
- NASA Ames Research Center
- NASA Quantum Artificial Intelligence Laboratory, NASA Ames Research Center
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Accurate Variational Description of Adiabatic Quantum Optimization
ORAL
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Authors
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Giuseppe Carleo
- Theoretische Physik, ETH Zurich, 8093 Zurich, Switzerland
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Bela Bauer
- Microsoft Station Q
- Station Q, Microsoft Research, Santa Barbara, CA 93106-6105, USA
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Matthias Troyer
- ETH Zurich
- ETH Zürich
- Swiss Federal Institute of Technology in Zurich
- Theoretische Physik, ETH Zurich, 8093 Zurich, Switzerland
- ETH
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Optimizing Quantum Adiabatic Algorithm
ORAL
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Authors
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Hongye Hu
- Peking Univ
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Biao Wu
- Peking Univ
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Learning quantum annealing
ORAL
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Authors
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Elizabeth Behrman
- Wichita State University
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James Steck
- Wichita State University
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Josephson Circuits as Vector Quantum Spins
ORAL
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Authors
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Gabriel Samach
- MIT Lincoln Laboratory
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Andrew J. Kerman
- MIT Lincoln Laboratory
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Distortion of a reduced equilibrium density matrix
ORAL
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Authors
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Iris Schwenk
- Karlsruhe Institute of Technology
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Michael Marthaler
- Karlsruhe Institute of Technology
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Quantum annealing via quantum diffusion mediated by environment
ORAL
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Authors
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Vadim Smelyanskiy
- Google Inc.
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Davide Venturelli
- University Space Research Association
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Alejandro Perdomo-Ortiz
- University of California Santa Cruz
- NASA/Ames Res Ctr
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Sergei Knysh
- Stinger Ghaffarian Technologies, Inc
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Mark Dykman
- Michigan State University
- Department of Physics and Astronomy, Michigan State University
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