相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Mean field analysis of reverse annealing for code-division multiple-access multiuser detection
Shunta Arai et al.
PHYSICAL REVIEW RESEARCH (2021)
Prospects for quantum enhancement with diabatic quantum annealing
E. J. Crosson et al.
NATURE REVIEWS PHYSICS (2021)
Variationally scheduled quantum simulation
Shunji Matsuura et al.
PHYSICAL REVIEW A (2021)
Quantum Semantic Learning by Reverse Annealing of an Adiabatic Quantum Computer
Lorenzo Rocutto et al.
ADVANCED QUANTUM TECHNOLOGIES (2021)
Perspectives of quantum annealing: methods and implementations
Philipp Hauke et al.
REPORTS ON PROGRESS IN PHYSICS (2020)
Mean-Field Solution of the Weak-Strong Cluster Problem for Quantum Annealing with Stoquastic and Non-Stoquastic Catalysts
Kabuki Takada et al.
JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN (2020)
Inhomogeneous driving in quantum annealers can result in orders-of-magnitude improvements in performance
Juan Adame et al.
QUANTUM SCIENCE AND TECHNOLOGY (2020)
Why and When Pausing is Beneficial in Quantum Annealing
Huo Chen et al.
PHYSICAL REVIEW APPLIED (2020)
De-Signing Hamiltonians for Quantum Adiabatic Optimization
Elizabeth Crosson et al.
QUANTUM (2020)
HARDNESS AND EASE OF CURING THE SIGN PROBLEM FOR TWO-LOCAL QUBIT HAMILTONIANS
Joel Klassen et al.
SIAM JOURNAL ON COMPUTING (2020)
Reverse quantum annealing of the p-spin model with relaxation
Gianluca Passarelli et al.
PHYSICAL REVIEW A (2020)
Power of Pausing: Advancing Understanding of Thermalization in Experimental Quantum Annealers
Jeffrey Marshall et al.
PHYSICAL REVIEW APPLIED (2019)
Experimental and Theoretical Study of Thermodynamic Effects in a Quantum Annealer
Tadashi Kadowaki et al.
JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN (2019)
On the computational complexity of curing non-stoquastic Hamiltonians
Milad Marvian et al.
NATURE COMMUNICATIONS (2019)
Application of Quantum Annealing to Nurse Scheduling Problem
Kazuki Ikeda et al.
SCIENTIFIC REPORTS (2019)
Improving quantum annealing of the ferromagnetic p-spin model through pausing
G. Passarelli et al.
PHYSICAL REVIEW B (2019)
Role of nonstoquastic catalysts in quantum adiabatic optimization
Tameem Albash
PHYSICAL REVIEW A (2019)
Reverse quantum annealing approach to portfolio optimization problems
Davide Venturelli et al.
QUANTUM MACHINE INTELLIGENCE (2019)
Dynamics of reverse annealing for the fully connected p-spin model
Yu Yamashiro et al.
PHYSICAL REVIEW A (2019)
Exponential Speedup of Quantum Annealing by Inhomogeneous Driving of the Transverse Field
Yuki Susa et al.
JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN (2018)
Adiabatic quantum computation
Tameem Albash et al.
REVIEWS OF MODERN PHYSICS (2018)
Observation of topological phenomena in a programmable lattice of 1,800 qubits
Andrew D. King et al.
NATURE (2018)
Engineering non-equilibrium quantum phase transitions via causally gapped Hamiltonians
Masoud Mohseni et al.
NEW JOURNAL OF PHYSICS (2018)
Quantum annealing of the p-spin model under inhomogeneous transverse field driving
Yuki Susa et al.
PHYSICAL REVIEW A (2018)
Reverse annealing for the fully connected p-spin model
Masaki Ohkuwa et al.
PHYSICAL REVIEW A (2018)
Modernizing quantum annealing using local searches
Nicholas Chancellor
NEW JOURNAL OF PHYSICS (2017)
Nonstoquastic Hamiltonians and quantum annealing of an Ising spin glass
Layla Hormozi et al.
PHYSICAL REVIEW B (2017)
Quantum annealing with antiferromagnetic transverse interactions for the Hopfield model
Yuya Seki et al.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL (2015)
Universal Adiabatic Quantum Computation via the Space-Time Circuit-to-Hamiltonian Construction
David Gosset et al.
PHYSICAL REVIEW LETTERS (2015)
Energy Gap at First-Order Quantum Phase Transitions: An Anomalous Case
Junichi Tsuda et al.
JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN (2013)
Many-body transverse interactions in the quantum annealing of the p-spin ferromagnet
Beatriz Seoane et al.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL (2012)
Algorithmic approach to adiabatic quantum optimization
Neil G. Dickson et al.
PHYSICAL REVIEW A (2012)
Quantum annealing with antiferromagnetic fluctuations
Yuya Seki et al.
PHYSICAL REVIEW E (2012)
Quantum Adiabatic Algorithm and Scaling of Gaps at First-Order Quantum Phase Transitions
C. R. Laumann et al.
PHYSICAL REVIEW LETTERS (2012)
Does Adiabatic Quantum Optimization Fail for NP-Complete Problems?
Neil G. Dickson et al.
PHYSICAL REVIEW LETTERS (2011)
A study of heuristic guesses for adiabatic quantum computation
Alejandro Perdomo-Ortiz et al.
QUANTUM INFORMATION PROCESSING (2011)
Quantum-Merlin-Arthur-complete problems for stoquastic Hamiltonians and Markov matrices
Stephen P. Jordan et al.
PHYSICAL REVIEW A (2010)
Mathematical foundation of quantum annealing
Satoshi Morita et al.
JOURNAL OF MATHEMATICAL PHYSICS (2008)
Realizable Hamiltonians for universal adiabatic quantum computers
Jacob D. Biamonte et al.
PHYSICAL REVIEW A (2008)
Bounds for the adiabatic approximation with applications to quantum computation
Sabine Jansen et al.
JOURNAL OF MATHEMATICAL PHYSICS (2007)
Simple proof of equivalence between adiabatic quantum computation and the circuit model
Ari Mizel et al.
PHYSICAL REVIEW LETTERS (2007)
Adiabatic quantum computation is equivalent to standard quantum computation
Dorit Aharonov et al.
SIAM JOURNAL ON COMPUTING (2007)
Optimization using quantum mechanics: quantum annealing through adiabatic evolution
Giuseppe E. Santoro et al.
JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL (2006)
New trends in density matrix renormalization
Karen A. Hallberg
ADVANCES IN PHYSICS (2006)
The density-matrix renormalization group
U Schollwock
REVIEWS OF MODERN PHYSICS (2005)
Quantum renormalization group of XYZ model in a transverse magnetic field -: art. no. 100402
A Langari
PHYSICAL REVIEW B (2004)
Theory of quantum annealing of an Ising spin glass
GE Santoro et al.
SCIENCE (2002)
A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem
E Farhi et al.
SCIENCE (2001)
分享论文
