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Finding low-energy conformations of lattice protein models by quantum annealing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Scalable Architecture for Adiabatic Quantum Computing of Np-Hard Problems
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Quantum annealing: A new method for minimizing multidimensional functions
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Global energy minimum searches using an approximate solution of the imaginary time Schroedinger equation
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A lattice statistical mechanics model of the conformational and sequence spaces of proteins
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Synthesizing arbitrary quantum states in a superconducting resonator
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Demonstration of two-qubit algorithms with a superconducting quantum processor
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Preparation and measurement of three-qubit entanglement in a superconducting circuit
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Generation of three-qubit entangled states using superconducting phase qubits
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Quantum annealing with manufactured spins
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Quantum non-demolition measurement of a superconducting two-level system
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Forces of tertiary structural organization in globular proteins.
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On the computational complexity of Ising spin glass models
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Optimization using quantum mechanics: quantum annealing through adiabatic evolution
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A scalable readout system for a superconducting adiabatic quantum optimization system
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A scalable control system for a superconducting adiabatic quantum optimization processor
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Robust Proofs of NP-Hardness for Protein Folding: General Lattices and Energy Potentials
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Protein Folding in the Hydrophobic-Hydrophilic ( HP ) Model is NP-Complete
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On the Complexity of Protein Folding
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An Efficient Computational Method for Globally Optimal Threading1
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Adiabatic quantum computing for random satisfiability problems
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Construction of model Hamiltonians for adiabatic quantum computation and its application to finding low-energy conformations of lattice protein models
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Decoherence in adiabatic quantum computation
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Role of single-qubit decoherence time in adiabatic quantum computation
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Sherrington-Kirkpatrick model in a transverse field: Absence of replica symmetry breaking due to quantum fluctuations
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Geometrical dependence of the low-frequency noise in superconducting flux qubits
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Experimental investigation of an eight-qubit unit cell in a superconducting optimization processor
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Probing high-frequency noise with macroscopic resonant tunneling
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Quantum annealing in the transverse Ising model
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Quantum and Classical Glass Transitions in LiHoxY1−xF4
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Probing Noise in Flux Qubits via Macroscopic Resonant Tunneling
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Simple Theory of Protein Folding Kinetics
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Factors Governing Fibrillogenesis of Polypeptide Chains Revealed by Lattice Models
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Quantum Factorization of 143 on a Dipolar-Coupling Nuclear Magnetic Resonance System
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Erratum: Quantum Factorization of 143 on a Dipolar-Coupling Nuclear Magnetic Resonance System [Phys. Rev. Lett.108, 130501 (2012)]
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Experimental Determination of Ramsey Numbers
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Minimum energy compact structures of random sequences of heteropolymers
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Proteins with selected sequences fold into unique native conformation
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Experimental Implementation of an Adiabatic Quantum Optimization Algorithm
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Heteropolymer freezing and design: Towards physical models of protein folding
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Colloquium : Quantum annealing and analog quantum computation
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A Quantum Adiabatic Evolution Algorithm Applied to Random Instances of an NP-Complete Problem
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Theory of Quantum Annealing of an Ising Spin Glass
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Manipulating the Quantum State of an Electrical Circuit
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Atomic-Level Characterization of the Structural Dynamics of Proteins
inferredcites →https://doi.org/10.1126/science.181.4096.223openalex-snapshot
Principles that Govern the Folding of Protein Chains
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Optimization by Simulated Annealing
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Quantum Annealing of a Disordered Magnet
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Grassroots Supercomputing
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Protein Folding Theory: From Lattice to All-Atom Models
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The Protein Folding Problem
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Molecular nanomagnets: towards molecular spintronics
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Comment on "Quantum and Classical Glass Transitions in LiHo$_{x}$Y$_{1-x}$F$_4$" by C. Ancona-Torres, D.M. Silevitch, G. Aeppli, and T. F. Rosenbaum, Phys. Rev. Lett. 101, 057201 (2008)
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Implementation of a Quantum Annealing Algorithm Using a Superconducting Circuit
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Scalable Superconducting Architecture for Adiabatic Quantum Computation
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Determination and correction of persistent biases in quantum annealers
inferred← citeshttps://doi.org/10.1038/srep22318openalex-snapshot
Maximum-Entropy Inference with a Programmable Annealer
inferred← citeshttps://doi.org/10.1038/srep25797openalex-snapshot
Quantum versus simulated annealing in wireless interference network optimization
inferred← citeshttps://doi.org/10.1038/srep33957openalex-snapshot
Solving Set Cover with Pairs Problem using Quantum Annealing
inferred← citeshttps://doi.org/10.1038/srep44370openalex-snapshot
Intrinsic optimization using stochastic nanomagnets
inferred← citeshttps://doi.org/10.1039/c5sc02477copenalex-snapshot
A flexible iron( ii ) complex in which zero-field splitting is resistant to structural variation
inferred← citeshttps://doi.org/10.1039/c9ra04537fopenalex-snapshot
A graphene-based hybrid material with quantum bits prepared by the double Langmuir–Schaefer method
inferred← citeshttps://doi.org/10.1039/d2cs00203eopenalex-snapshot
Quantum machine learning for chemistry and physics
inferred← citeshttps://doi.org/10.1063/1.4880755openalex-snapshot
Adiabatic state preparation study of methylene
inferred← citeshttps://doi.org/10.1063/1.5081452openalex-snapshot
Topologically nontrivial phases in superconducting transition metal carbides
inferred← citeshttps://doi.org/10.1088/1361-6633/aa7e1aopenalex-snapshot
Quantum information processing with superconducting circuits: a review
inferred← citeshttps://doi.org/10.1088/1361-6633/ab85b8openalex-snapshot
Perspectives of quantum annealing: methods and implementations
inferred← citeshttps://doi.org/10.1088/1361-6633/ac8c54openalex-snapshot
Quantum annealing for industry applications: introduction and review
inferred← citeshttps://doi.org/10.1088/1367-2630/ab5ca2openalex-snapshot
Finding spin glass ground states using quantum walks
inferred← citeshttps://doi.org/10.1088/1367-2630/ac29ffopenalex-snapshot
Investigating the potential for a limited quantum speedup on protein lattice problems
inferred← citeshttps://doi.org/10.1088/1367-2630/ace547openalex-snapshot
Deep learning optimal quantum annealing schedules for random Ising models
inferred← citeshttps://doi.org/10.1088/1674-1056/abd762openalex-snapshot
Low-temperature environments for quantum computation and quantum simulation*
inferred← citeshttps://doi.org/10.1088/1742-6596/638/1/012016openalex-snapshot
Relation of classical non-equilibrium dynamics and quantum annealing
inferred← citeshttps://doi.org/10.1088/1749-4680/7/1/015006openalex-snapshot
An integrated programming and development environment for adiabatic quantum optimization
inferred← citeshttps://doi.org/10.1088/1751-8113/47/32/325302openalex-snapshot
A quantum-walk-inspired adiabatic algorithm for solving graph isomorphism problems
inferred← citeshttps://doi.org/10.1088/2058-9565/1/1/015008openalex-snapshot
A transmon quantum annealer: decomposing many-body Ising constraints into pair interactions
inferred← citeshttps://doi.org/10.1088/2058-9565/aab6baopenalex-snapshot
Viewing vanilla quantum annealing through spin glasses
inferred← citeshttps://doi.org/10.1088/2058-9565/ab33c2openalex-snapshot
Domain wall encoding of discrete variables for quantum annealing and QAOA
inferred← citeshttps://doi.org/10.1088/2058-9565/ac4f2fopenalex-snapshot
QFold: quantum walks and deep learning to solve protein folding
inferred← citeshttps://doi.org/10.1088/2058-9565/acf4baopenalex-snapshot
Boosting quantum amplitude exponentially in variational quantum algorithms
inferred← citeshttps://doi.org/10.1088/2058-9565/ada08eopenalex-snapshot
Efficient quantum algorithm for lattice protein folding
inferred← citeshttps://doi.org/10.1088/2399-6528/abd3d8openalex-snapshot
Predicting toxicity by quantum machine learning
inferred← citeshttps://doi.org/10.1088/2632-2153/abc328openalex-snapshot
Reinforcement learning enhanced quantum-inspired algorithm for combinatorial optimization
inferred← citeshttps://doi.org/10.1093/bib/bbac437openalex-snapshot
Quantum computing algorithms: getting closer to critical problems in computational biology
inferred← citeshttps://doi.org/10.1093/bib/bbae074openalex-snapshot
New classifications for quantum bioinformatics: Q-bioinformatics, QCt-bioinformatics, QCg-bioinformatics, and QCr-bioinformatics
inferred← citeshttps://doi.org/10.1093/bioinformatics/btac789openalex-snapshot
Insights from incorporating quantum computing into drug design workflows
inferred← citeshttps://doi.org/10.1093/jamia/ocae149openalex-snapshot
A primer for quantum computing and its applications to healthcare and biomedical research
inferred← citeshttps://doi.org/10.1098/rsif.2022.0541openalex-snapshot
Biology and medicine in the landscape of quantum advantages
inferred← citeshttps://doi.org/10.1098/rsta.2021.0410openalex-snapshot
Understanding domain-wall encoding theoretically and experimentally
inferred← citeshttps://doi.org/10.1098/rsta.2021.0413openalex-snapshot
Development of research network on Quantum Annealing Computation and Information using Google Scholar data
inferred← citeshttps://doi.org/10.1098/rsta.2021.0417openalex-snapshot
Quantum annealing: an overview
inferred← citeshttps://doi.org/10.1101/2025.04.25.650554openalex-snapshot
Quantum algorithm for identifying RNA 3D motifs by processing RNA secondary structure graphs
inferred← citeshttps://doi.org/10.1103/3bkn-v5rdopenalex-snapshot
Computational complexity of three-dimensional Ising spin glass: Lessons from D-wave annealer
inferred← citeshttps://doi.org/10.1103/8n7p-7lh2openalex-snapshot
Folding lattice proteins confined on minimal grids using a quantum-inspired encoding
inferred← citeshttps://doi.org/10.1103/cpgy-fpvbopenalex-snapshot
Simulating charging characteristics of lithium iron phosphate by electro-ionic optimization on a quantum annealer
inferred← citeshttps://doi.org/10.1103/physreva.100.032320openalex-snapshot
Practical designs for permutation-symmetric problem Hamiltonians on hypercubes
inferred← citeshttps://doi.org/10.1103/physreva.102.062405openalex-snapshot
Quantum adiabatic machine learning by zooming into a region of the energy surface
inferred← citeshttps://doi.org/10.1103/physreva.102.062606openalex-snapshot
Fluctuation-guided search in quantum annealing
inferred← citeshttps://doi.org/10.1103/physreva.103.042412openalex-snapshot
Quantum algorithms with local particle-number conservation: Noise effects and error correction
inferred← citeshttps://doi.org/10.1103/physreva.104.012604openalex-snapshot
Experimental test of search range in quantum annealing
inferred← citeshttps://doi.org/10.1103/physreva.105.032431openalex-snapshot
Standard quantum annealing outperforms adiabatic reverse annealing with decoherence
inferred← citeshttps://doi.org/10.1103/physreva.106.012418openalex-snapshot
Quantum walk in a reinforced free-energy landscape: Quantum annealing with reinforcement
inferred← citeshttps://doi.org/10.1103/physreva.106.022801openalex-snapshot
Quantum annealing with pairs of 2Σ molecules as qubits
inferred← citeshttps://doi.org/10.1103/physreva.106.052605openalex-snapshot
Basic elements for simulations of standard-model physics with quantum annealers: Multigrid and clock states
inferred← citeshttps://doi.org/10.1103/physreva.107.022607openalex-snapshot
Counterdiabatic reverse annealing
inferred← citeshttps://doi.org/10.1103/physreva.111.032411openalex-snapshot
Quantum combinatorial optimization beyond the variational paradigm: Simple schedules for hard problems
inferred← citeshttps://doi.org/10.1103/physreva.90.012308openalex-snapshot
Quadratic constrained mixed discrete optimization with an adiabatic quantum optimizer
inferred← citeshttps://doi.org/10.1103/physreva.92.062320openalex-snapshot
Adiabatic quantum optimization in the presence of discrete noise: Reducing the problem dimensionality
inferred← citeshttps://doi.org/10.1103/physreva.94.022308openalex-snapshot
Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning
inferred← citeshttps://doi.org/10.1103/physreva.94.022327openalex-snapshot
Simulated-quantum-annealing comparison between all-to-all connectivity schemes
inferred← citeshttps://doi.org/10.1103/physreva.99.022339openalex-snapshot
Quantum search with hybrid adiabatic–quantum-walk algorithms and realistic noise
inferred← citeshttps://doi.org/10.1103/physreva.99.060301openalex-snapshot
Forecasting financial crashes with quantum computing
inferred← citeshttps://doi.org/10.1103/physrevapplied.10.054004openalex-snapshot
How Small-World Interactions Can Lead to Improved Quantum Annealer Designs
inferred← citeshttps://doi.org/10.1103/physrevapplied.12.014004openalex-snapshot
Readiness of Quantum Optimization Machines for Industrial Applications
inferred← citeshttps://doi.org/10.1103/physrevapplied.20.014024openalex-snapshot
Digitized Counterdiabatic Quantum Algorithm for Protein Folding
inferred← citeshttps://doi.org/10.1103/physrevapplied.21.034036openalex-snapshot
Molecular docking via quantum approximate optimization algorithm
inferred← citeshttps://doi.org/10.1103/physrevapplied.22.034031openalex-snapshot
Exploring the topological sector optimization on quantum computers
inferred← citeshttps://doi.org/10.1103/physrevb.94.224409openalex-snapshot
Quantum effects in nanosystems: Good reasons to use phase-space Weyl symbols
inferred← citeshttps://doi.org/10.1103/physrevb.96.195136openalex-snapshot
Entanglement spectroscopy on a quantum computer
inferred← citeshttps://doi.org/10.1103/physreve.102.022114openalex-snapshot
Frustration and inhomogeneous environments in relaxation of open chains with Ising-type interactions
inferred← citeshttps://doi.org/10.1103/physreve.103.013302openalex-snapshot
Exact representations of many-body interactions with restricted-Boltzmann-machine neural networks
inferred← citeshttps://doi.org/10.1103/physreve.91.012104openalex-snapshot
Comparative study of the performance of quantum annealing and simulated annealing
inferred← citeshttps://doi.org/10.1103/physreve.97.043303openalex-snapshot
From near to eternity: Spin-glass planting, tiling puzzles, and constraint-satisfaction problems
inferred← citeshttps://doi.org/10.1103/physreve.99.032120openalex-snapshot
Dynamics of order parameters of nonstoquastic Hamiltonians in the adaptive quantum Monte Carlo method
inferred← citeshttps://doi.org/10.1103/physrevlett.111.100506openalex-snapshot
Quantum Catalysis of Magnetic Phase Transitions in a Quantum Simulator
inferred← citeshttps://doi.org/10.1103/physrevlett.126.028104openalex-snapshot
Dominant Reaction Pathways by Quantum Computing
inferred← citeshttps://doi.org/10.1103/physrevlett.127.080501openalex-snapshot
Polymer Physics by Quantum Computing
inferred← citeshttps://doi.org/10.1103/physrevlett.131.103601openalex-snapshot
Universal Quantum Optimization with Cold Atoms in an Optical Cavity
inferred← citeshttps://doi.org/10.1103/physrevlett.134.158101openalex-snapshot
Statistical Mechanics of Heteropolymers from Lattice Gauge Theory
inferred← citeshttps://doi.org/10.1103/physrevresearch.1.033123openalex-snapshot
Native three-body interaction in superconducting circuits
inferred← citeshttps://doi.org/10.1103/physrevresearch.2.013319openalex-snapshot
Designing metamaterials with quantum annealing and factorization machines
inferred← citeshttps://doi.org/10.1103/physrevresearch.4.013096openalex-snapshot
Solving systems of Boolean multivariate equations with quantum annealing
inferred← citeshttps://doi.org/10.1103/physrevresearch.4.043013openalex-snapshot
Folding lattice proteins with quantum annealing
inferred← citeshttps://doi.org/10.1103/physrevresearch.6.013162openalex-snapshot
Using quantum annealing to design lattice proteins
inferred← citeshttps://doi.org/10.1103/physrevresearch.6.033047openalex-snapshot
Microstructure equilibration with consideration of elastic and interfacial interactions via quantum annealing with application to the solid electrolyte LLZO
inferred← citeshttps://doi.org/10.1103/physrevresearch.6.033112openalex-snapshot
Resource analysis of quantum algorithms for coarse-grained protein folding models
inferred← citeshttps://doi.org/10.1103/physrevresearch.7.023116openalex-snapshot
Computing canonical averages with quantum and classical optimizers: Thermodynamic reweighting for QUBO models of physical systems
inferred← citeshttps://doi.org/10.1103/physrevx.4.021041openalex-snapshot
Entanglement in a Quantum Annealing Processor
inferred← citeshttps://doi.org/10.1103/physrevx.5.031040openalex-snapshot
Quantum Optimization of Fully Connected Spin Glasses
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