ArticleNature2016
Digitized adiabatic quantum computing with a superconducting circuit.
Article in Nature, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Coherent Ising machine based on polarization symmetry breaking in a driven Kerr resonator.Nature communications · 2026Article
- Quantum dynamics in frustrated Ising fullerenes.EPJ quantum technology · 2026Article
- Benchmarking a heuristic Floquet adiabatic algorithm for the Max-Cut problem.Scientific reports · 2025Article
- Entropy, Fidelity, and Entanglement During Digitized Adiabatic Quantum Computing to Form a Greenberger-Horne-Zeilinger (GHZ) State.Entropy (Basel, Switzerland) · 2025Article
- Advancements in superconducting quantum computing.National science review · 2025Review
- Digital simulation of zero-temperature spontaneous symmetry breaking in a superconducting lattice processor.Nature communications · 2025Article
- Quantum Thermometry for Ultra-Low Temperatures Using Probe and Ancilla Qubit Chains.Entropy (Basel, Switzerland) · 2025Article
- Infidelity Analysis of Digital Counter-Diabatic Driving in Simple Two-Qubit System.Entropy (Basel, Switzerland) · 2024Article
- Improved machine learning algorithm for predicting ground state properties.Nature communications · 2024Article
- A quantum-inspired probabilistic prime factorization based on virtually connected Boltzmann machine and probabilistic annealing.Scientific reports · 2023Article
- Solving independent set problems with photonic quantum circuits.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Quantum Computing Approaches for Vector Quantization-Current Perspectives and Developments.Entropy (Basel, Switzerland) · 2023Article
- Towards Quantum Control with Advanced Quantum Computing: A Perspective.Entropy (Basel, Switzerland) · 2022Article
- Cavity electromechanics with parametric mechanical driving.Nature communications · 2020Article
- Quantum non-demolition measurement of a many-body Hamiltonian.Nature communications · 2020Article
- Enhancing quantum annealing performance by a degenerate two-level system.Scientific reports · 2020Article
- A poor man's coherent Ising machine based on opto-electronic feedback systems for solving optimization problems.Nature communications · 2019Article
- Breaking the quantum adiabatic speed limit by jumping along geodesics.Science advances · 2019Article
- Quantum localization bounds Trotter errors in digital quantum simulation.Science advances · 2019Article
- Understanding dynamics of coherent Ising machines through simulation of large-scale 2D Ising models.Nature communications · 2018Article
Corrections and comments
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Authors and funding
29 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantum mechanics can help to solve complex problems in physics and chemistry, provided they can be programmed in a physical device. In adiabatic quantum computing, a system is slowly evolved from the ground state of a simple initial Hamiltonian to a final Hamiltonian that encodes a computational problem. The appeal of this approach lies in the combination of simplicity and generality; in principle, any problem can be encoded. In practice, applications are restricted by limited connectivity, available interactions and noise. A complementary approach is digital quantum computing, which enables the construction of arbitrary interactions and is compatible with error correction, but uses quantum circuit algorithms that are problem-specific. Here we combine the advantages of both approaches by implementing digitized adiabatic quantum computing in a superconducting system. We tomographically probe the system during the digitized evolution and explore the scaling of errors with system size. We then let the full system find the solution to random instances of the one-dimensional Ising problem as well as problem Hamiltonians that involve more complex interactions. This digital quantum simulation of the adiabatic algorithm consists of up to nine qubits and up to 1,000 quantum logic gates. The demonstration of digitized adiabatic quantum computing in the solid state opens a path to synthesizing long-range correlations and solving complex computational problems. When combined with fault-tolerance, our approach becomes a general-purpose algorithm that is scalable.
Identifiers
27279216What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.